Online or onsite, instructor-led live Python training courses demonstrate through hands-on practice various aspects of the Python programming language. Some of the topics covered include the fundamentals of Python programming, advanced Python programming, Python for test automation, Python scripting and automation, and Python for Data Analysis and Big Data applications in areas such as Finance, Banking and Insurance.
NobleProg Python training courses also cover beginning and advanced courses in the use of Python libraries and frameworks for Machine Learning and Deep Learning.
Python training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Python training can be carried out locally on customer premises in Florida or in NobleProg corporate training centers in Florida.
NobleProg -- Your Local Training Provider
FL, Jacksonville - Deerwood Park
10151 Deerwood Park Boulevard Building 200 Suite 250, Jacksonville, united states, 32256
The venue is located in the neighborhood of the Chase Home Finance and the Florida Capital Bank, just behind the Cisco System...
The venue is located in the neighborhood of the Chase Home Finance and the Florida Capital Bank, just behind the Cisco Systems building.
FL, Miami Airport - Waterford
6303 Blue Lagoon Drive Suite 400, Miami, united states, 33126
The venue is located right behind Miami Airport in front of Red-tailed Hawk Lake and in the same building as Johnson and John...
The venue is located right behind Miami Airport in front of Red-tailed Hawk Lake and in the same building as Johnson and Johnson.
FL, Tampa - Wells Fargo Center
100 S. Ashley Drive Suite 600, Tampa, united states, 33602
The venue is located in the Wells Fargo Center just next to the Tampa Convention Center parking.
FL, Orlando – GAI Building
618 E. South Street Suite 500, Orlando, united states, 32801
The venue is located in the GAI Building with the CNS Healthcare logo at the front.
FL, Jacksonville - Bank of America Tower
50 N. Laura Street Suite 2500, Jacksonville, united states, 32202
The office is located in a premier office tower in Downtown Jacksonville on the 42nd floor. This Class A LEED Ce...
The office is located in a premier office tower in Downtown Jacksonville on the 42nd floor. This Class A LEED Certified building is situated in the Northbank Office Market Preeminent location that provides commanding views. Downtown Trolley and Bus stops are located just across the street on Forsyth with easy access to I-95 leading to I-10 and I-295. Convenient to Jacksonville International Airport, the building is also just minutes to Everbank Field, Jacksonville Landing, Times Union Performing Arts Center, Jacksonville Veterans Memorial Arena and Jacksonville Public Library. Spectacular views of the St John's River in Jacksonville, Florida are one of many features that make the Bank of America Tower office space stand out. The office space occupies a blue granite tower in the heart of the city's central business district. The iconic tower is one of the best-known business premises in the southeastern United States and includes a statement lobby and class-A workspace. Businesses of all kinds appreciate Jacksonville's location at the crossroads of three major railroads and three interstates, and its international airport.
FL, Tallahassee – Alliance Center
113 South Monroe Street 1st Floor, Tallahassee, united states, 32301
The venue is located in the Alliance Center across the street from FUBA and the Florida Optometric Association.
FL, West Palm Beach - Philips Point
777 South Flagler Drive, West Palm Beach, united states, 33401
The venue is located in the Philips Point building just off the Royal Park Bridge.
FL, Aventura - Corporate Center
20801 Biscayne Blvd., Miami, united states, 33180
The venue is located in the Grove Bank & Trust building just off Biscayne Blvd.
FL, Fort Lauderdale - Corporate Center
110 East Broward Blvd., Fort Lauderdale, united states, 33301
The venue is located in the Corporate Center across the street from the Uniform Advantage Corporate Office and just next door...
The venue is located in the Corporate Center across the street from the Uniform Advantage Corporate Office and just next door to Colliers International.
FL, Miami Beach - Miami Beach
1688 Meridian Ave #700, Miami Beach, united states, 33139
The venue is located at the crossing of Meridan Avenue and 17th St, just across the road the road from Macy's.
This instructor-led, live training in Florida (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively.
By the end of this training, participants will be able to:
Learn how Python can be integrated into Power BI for data analysis.
Use Python scripts to load, clean, and preprocess data within the Power BI environment.
Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
Acquire advanced data analysis skills using Python.
This instructor-led, live training in Florida (online or onsite) is aimed at experienced developers who wish to gain a comprehensive understanding of Python programming and its applications in cybersecurity.
By the end of this training, participants will be able to:
Use Python programming for defensive cybersecurity.
Understand and use Python for ethical offensive techniques and digital forensics tasks.
Recognize legal and ethical considerations surrounding offensive cybersecurity and vulnerability disclosure.
This instructor-led, live training in Florida (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.
By the end of this training, participants will be able to:
Perform data analysis using Python, R, and SQL.
Create insights through data visualization with Tableau.
Make data-driven decisions for business operations.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use and integrate Spark, Hadoop, and Python to process, analyze, and transform large and complex data sets.
By the end of this training, participants will be able to:
Set up the necessary environment to start processing big data with Spark, Hadoop, and Python.
Understand the features, core components, and architecture of Spark and Hadoop.
Learn how to integrate Spark, Hadoop, and Python for big data processing.
Explore the tools in the Spark ecosystem (Spark MlLib, Spark Streaming, Kafka, Sqoop, Kafka, and Flume).
Build collaborative filtering recommendation systems similar to Netflix, YouTube, Amazon, Spotify, and Google.
Use Apache Mahout to scale machine learning algorithms.
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.
By the end of this training, participants will be able to:
Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
Understand the key concepts, features, and benefits of the FARM stack.
Learn how to build REST APIs with FastAPI.
Learn how to design interactive applications with React.
Develop, test, and deploy applications (front end and back end) using the FARM stack.
This instructor-led, live training in Florida (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to:
Set up a development environment that includes ROS, Python, and a mobile robot platform.
Create and run ROS nodes, topics, services, and actions using Python.
Use ROS tools and utilities to monitor and debug ROS applications.
Use ROS packages and libraries to perform common tasks for mobile robots.
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.
By the end of this training, participants will be able to:
Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
Get a refresher on the fundamentals of Python and SQL.
Perform data pre-processing techniques in Python.
Learn how to connect Python and SQL for data analysis.
Create insightful data visualizations and charts with Tableau.
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).
The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.
Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
In this instructor-led, live training in Florida, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.
By the end of this training, participants will be able to:
Learn how to use Spark with Python to analyze Big Data.
Work on exercises that mimic real world cases.
Use different tools and techniques for big data analysis using PySpark.
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
The training course will help the participants prepare for Web Application Development using Python Programming with Data Analytics. Such data visualization is a great tool for Top Management in decision making.
The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
This instructor-led, live training in Florida is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.
By the end of this training, participants will know how to program in Python and apply this new skill for:
Automating tasks by writing simple Python programs.
Writing programs that can do text pattern recognition with "regular expressions".
Programmatically generating and updating Excel spreadsheets.
Parsing PDFs and Word documents.
Crawling web sites and pulling information from online sources.
Writing programs that send out email notifications.
Use Python's debugging tools to quickly resolve bugs.
Programmatically controlling the mouse and keyboard to click and type for you.
In this instructor-led, live training in Florida, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.
By the end of this training, participants will be able to:
Implement machine learning algorithms and techniques for solving complex problems.
Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
Push Python algorithms to their maximum potential.
Use libraries and packages such as NumPy and Theano.
This instructor-led, live training in Florida (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.By the end of this training, participants will be able to:
Set up a development environment that includes Python, Pandas, and NumPy.
Create a data analysis application using Pandas and NumPy.
Perform advanced data wrangling, sorting, and filtering operations.
Conduct aggregate operations and analyze time series data.
Visualize data using Matplotlib and other visualization libraries.
In this instructor-led, live training in Florida, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.
By the end of this training, participants will be able to:
Write readable and maintainable tests without the need for boilerplate code.
Use the fixture model to write small tests.
Scale tests up to complex functional testing for applications, packages, and libraries.
Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
Reduce test times by running tests in parallel and across multiple processors.
Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
This instructor-led, live training in Florida (online or onsite) is aimed at data analysts who wish to build analytic applications using Python with Plotly and Dash.
By the end of this training, participants will be able to:
Set up a real-time interactive dashboard for streaming live updating data.
Build interactive dashboards using Python for data science solutions.
Secure interactive dashboards with advanced authentication methods.
The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
Understand the fundamentals of the Python programming language
Download, install and maintain the best development tools for creating financial applications in Python
Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
Troubleshoot, integrate, deploy, and optimize a Python application
Audience
Developers
Analysts
Quants
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course.
In this instructor-led, live training in Florida participants combine the power of Python with Selenium to automate the testing of a sample web application. By combining theory with practice in a live lab environment, participants will gain the knowledge and practice needed to automate their own web testing projects using Python and Selenium.
In this instructor-led, live training in Florida (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.
By the end of this training, participants will be able to:
Install and configure packages for integrating Python and Excel.
Read, write, and manipulate Excel files using Python.
In this instructor-led, live training in Florida, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
This instructor-led, live training in Florida begins with a discussion of BDD and how the Behave framework can be used to carry out BDD testing for web applications. Participants are given ample opportunity to interact with the instructor and peers while implementing the concepts and tactics learned in this hands-on, practice-based lab environment.
By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.
This instructor-led, live training in Florida (online or onsite) is aimed at persons who wish to program a visually attractive software application using Python and the Qt UI framework.
By the end of this training, participants will be able to:
Set up a development environment that includes all needed libraries, packages and frameworks.
Create a desktop or server application whose user interface functions smoothly and is visually appealing.
Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
Implement good UI design and code organization during the design and development phase.
This instructor-led, live training in Florida (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.
By the end of this training, participants will be able to:
Install and configure a Python development environment.
Understand the differences and similarities between Matlab and Python syntax.
Use Python to obtain insights from various datasets.
Object-Oriented Programming (OOP) is a programming paradigm based around the concept of objects. OOP is more data-focused rather than logic-focused. Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn how to get started with Object-Oriented Programming using Python.
By the end of this training, participants will be able to:
Understand the fundamental concepts of Object-Oriented Programming
Understand the OOP syntax in Python
Write their own object-oriented program in Python
Audience
Beginners who would like to learn about Object-Oriented Programming
Developers interested in learning OOP in Python
Python programmers interested in learning OOP
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training in Florida, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model.
By the end of this training, participants will be able to:
Understand the fundamental concepts of deep learning.
Learn the applications and uses of deep learning in telecom.
Use Python, Keras, and TensorFlow to create deep learning models for telecom.
Build their own deep learning customer churn prediction model using Python.
This instructor-led, live training in Florida (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..
By the end of this training, participants will be able to:
Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
Analyze data from sources such as Excel, CSV, JSON files and databases.
Clean data to improve its usefulness before analyzing it.
Perform simple statistical analysis.
Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
Gain valuable insight from data, including trends in performance, problematic areas.
This instructor-led, live training in Florida (online or onsite) is aimed at backend developers who wish to build REST APIs with Python and Flask.
By the end of this training, participants will be able to:
Implement a REST API to allow a Flask web application to read and write to a database in the backend.
Develop advanced authentication features like refresh tokens.
Build a reusable backend for future Python projects.
In this instructor-led, live training, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
If you wish to add, remove or customize any section or topic within this course, please contact us to arrange.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use Python to automate the process of crawling many websites to extract data for processing and analysis.
By the end of this training, participants will be able to:
Install and configure Python and all relevant packages.
Retrieve and parse data stored across many different websites.
Understand how websites work and how their HTML is structured.
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
Set up the environment to start building big data processing with Dask and Python.
Explore the features, libraries, tools, and APIs available in Dask.
Understand how Dask accelerates parallel computing in Python.
Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
Optimize the Dask environment to maintain high performance in handling large datasets.
This instructor-led, live training in Florida (online or onsite) is aimed at developers and administrators who wish to use PostgreSQL with Python to build secure, reliable, and stable applications at scale.
By the end of this training, participants will be able to:
Install, configure, and connect PostgreSQL with Python.
Get a refresher on Python programming fundamentals.
Understand the benefits of using PostgreSQL with Python.
Learn how to perform basic SQL operations with Python.
Learn how to use the advanced PostgreSQL features with Python.
Implement data safety, security, monitoring, and optimization techniques.
In this instructor-led, live training in Florida (online or onsite), participants will learn how to decouple a Python application, then integrate it with the RabbitMQ messaging system to create distributed cloud applications or microservices.
By the end of this training, participants will be able to:
Setup, configure and manage RabbitMQ.
Understand RabbitMQ's role in the design and implementation of a microservice's architecture.
Understand how RabbitMQ compares to other Message Queuing Architectures.
Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world Python applications.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.
By the end of this training, participants will be able to:
Set up the necessary development environment to develop APIs with Python and FastAPI.
Create APIs quicker and easier using the FastAPI library.
Learn how to create data models and schemas based on Pydantic and OpenAPI.
Connect APIs to a database using SQLAlchemy.
Implement security and authentication in APIs using the FastAPI tools.
Build container images and deploy web APIs to a cloud server.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use SciPy to create advanced scientific computing functions with Python.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating scientific computing functions.
Get the full benefit of SciPy features by performing practical examples of complex operations.
Implement and optimize mathematical algorithms and functions to solve scientific problems.
Design data structures and interpolation methods for visualization, processing, and analysis.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use PyGame to create and build games using Python programming.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating game applications with PyGame and Python.
Learn how to create interactive PyGame applications integrated with animations and multimedia features.
Run and test game programs with PyGame test suite and convert them into executable files.
This practical course is addressed to Python developers that want to create and maintain their first web applications. It is also addressed to people who are already familiar with other web frameworks such as Django or Web2py, and want to learn how using a microframework (i.e. a framework which glues together third-party libraries instead of providing a self-contained universal solution) changes the process.
A significant part of the course is devoted not to Flask itself (it's tiny), but to third-party libraries and tools often used in Flask projects.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use the advanced features of Flask to build scalable web applications on top of MongoDB.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing web applications with Flask.
Get to know the advanced concepts and techniques for real-world Flask projects.
Build a RESTful API server on top of MongoDB.
Learn how to containerize, test, and deploy microservices with Flask, Docker, and Amazon EC2.
Gain some insights on the advanced Flask integrations for scaling web applications.
This instructor-led, live training (onsite or remote) is aimed at web developers who wish to design, develop, and deploy a GUI with Tkinter.
By the end of this training, participants will be able to:
Kivy is an open-source cross-platform graphical user interface library written in Python, which allows multi-touch application development for a wide selection of devices.
In this instructor-led, live training participants will learn how to install and deploy Kivy on different platforms, customize and manipulate widgets, schedule, trigger and respond to events, modify graphics with multi-touching, resize the screen, package apps for Android, and more.
By the end of this training, participants will be able to
Relate the Python code and the Kivy language.
Have a solid understanding of how Kivy works and makes use of its most important elements such as, widgets, events, properties, graphics, etc.
Seamlessly develop and deploy Android apps based on different business and design requirements.
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Web2py is a python based free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications.
Audience
This course is directed at Engineers and Developers using web2py as a framework for web development
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Audience
This course is directed at developers and engineers seeking to incorporate Django in their projects
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use the advanced features of Django to create large-scale and secure web apps faster with less code.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing web apps with Django.
Get to know the advanced features in Django and how to implement them.
Optimize the code using class-based views to build apps more efficiently.
Enable and configure the messages framework in Django.
Use the signals feature in Django to interact with decoupled applications.
This instructor-led, live training in Florida (online or onsite) is aimed at sysadmins who wish to set up, deploy and manage a Python-based enterprise-grade CMS (content management system).
By the end of this training, participants will be able to:
Install and configure a production-grade Django CMS website.
Define user roles and permissions.
Configure database and perform maintenance operations.
Secure, monitor, optimize, and troubleshoot a live Django CMS system.
Peform administration tasks, including backup, restore and site migration.
Launch multisite instances of Django CMS on-premise or to a public cloud.
Integrate a Django CMS with third-party applications and systems.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to customize and extend a Python-based enterprise-grade CMS (content management system).
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing.
Create custom page templates and plugins.
Linking functionality from another application with a DJango system.
Integrate an entire Django web application with a Django CMS website.
This instructor-led, live training in Florida (online or onsite) is aimed at backend developers who wish to build backend REST APIs with Python and Django.
By the end of this training, participants will be able to:
Create a self documenting REST API.
Deploy REST APIs onto a cloud based server.
Implement APIs for application authentication.
Build a reusable backend for future Python projects.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to customize and extend a Python-based CMS (content management system).
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing.
Create and customize pages, menus, and forms to give personality to a website.
Test, debug, optimize and deploy a fully functional website.
This instructor-led, live training in Florida (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.
By the end of this training, participants will be able to:
Employ algorithms to buy and sell securities at specialized increments rapidly.
Reduce costs associated with trade using algorithmic trading.
Automatically monitor stock prices and place trades.
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists and data analysts who wish to program in R and Python for outlier detection.
By the end of this training, participants will be able to:
Identify whether data is an anomaly or is an expected value.
Implement algorithms for anomaly detection.
Use various techniques and methods to detect anomalies.
This instructor-led, live training in Florida (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes.
By the end of this training, participants will be able to:
Build GIS applications using Python and ArcGIS tools.
Develop with the ArcGIS package ArcPy, using Python.
Apply the ArcGIS modules for map automation using object classes in Python.
This instructor-led, live training in Florida (online or onsite) is aimed at biologists who wish to use Biopython.
By the end of this training, participants will be able to:
Integrate biological concepts with information technologies to solve research problems.
Mine information from large datasets of biological origin.
ChatBots are computer programs that automatically simulate human responses via chat interfaces. ChatBots help organizations maximize their operations efficiency by providing easier and faster options for their user interactions.
In this instructor-led, live training, participants will learn how to build chatbots in Python.
By the end of this training, participants will be able to:
Understand the fundamentals of building chatbots
Build, test, deploy, and troubleshoot various chatbots using Python
Audience
Developers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training Florida (online or onsite) is aimed at developers or DevOps engineers who wish to build automation pipelines using CI/CD practices with Python.
By the end of this training, participants will be able to:
Set up the necessary development environment to start building CI/CD pipelines with Python.
Build automated pipelines for testing and publishing Python packages using Travis-CI.
Automate the deployment of containerized applications with Docker and Heroku.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs.
By the end of this training, participants will be able to:
Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
Create, compile and launch custom CUDA kernels.
Manage GPU memory.
Convert a CPU based application into a GPU-accelerated application.
This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to implement more advanced data analytics techniques for data mining using Python.
By the end of this training, participants will be able to:
Understand important areas of data mining, including association rule mining, text sentiment analysis, automatic text summarization, and data anomaly detection.
Compare and implement various strategies for solving real-world data mining problems.
Understand and interpret the results.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability.
In this instructor-led, live training, participants will learn how to implement deep learning models for banking using Python as they step through the creation of a deep learning credit risk model.
By the end of this training, participants will be able to:
Understand the fundamental concepts of deep learning
Learn the applications and uses of deep learning in banking
Use Python, Keras, and TensorFlow to create deep learning models for banking
Build their own deep learning credit risk model using Python
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability.
In this instructor-led, live training, participants will learn how to implement deep learning models for finance using Python as they step through the creation of a deep learning stock price prediction model.
By the end of this training, participants will be able to:
Understand the fundamental concepts of deep learning
Learn the applications and uses of deep learning in finance
Use Python, Keras, and TensorFlow to create deep learning models for finance
Build their own deep learning stock price prediction model using Python
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists who wish to use TensorFlow to analyze potential fraud data.
By the end of this training, participants will be able to:
Create a fraud detection model in Python and TensorFlow.
Build linear regressions and linear regression models to predict fraud.
Develop an end-to-end AI application for analyzing fraud data.
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks.
Python is a high-level programming language famous for its clear syntax and code readability.
In this instructor-led, live training, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model.
By the end of this training, participants will be able to:
Understand the fundamental concepts of deep learning.
Learn the applications and uses of deep learning in telecom.
Use Python, Keras, and TensorFlow to create deep learning models for telecom.
Build their own deep learning customer churn prediction model using Python.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to use GANs and variational autoencoders to generate new, synthetic instances of images, videos, and audio.
By the end of this training, participants will be able to:
Build a GAN using machine learning libraries in Python.
This instructor-led, live training in Florida (online or onsite) is aimed at engineers who wish to deploy a speedy, resource-light Gunicorn server to run Python web applications.
By the end of this training, participants will be able to:
Install and configure Gunicorn.
Understand the building blocks for deploying a Python web application
Explain Gunicorn's role and how it compares to Java's Servlet API.
Integrate Gunicorn with a variety of Python web frameworks.
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Python is a high-level programming language recommended for IoT due to its clear syntax and large community support.
In this instructor-led, live training, participants will learn how to program IoT solutions with Python.
By the end of this training, participants will be able to:
Understand the fundamentals of IoT architecture
Learn the basics of using Raspberry Pi
Install and configure Python on Raspberry Pi
Learn the benefits of using Python in programming IoT systems
Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi
Audience
Developers
Engineers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Florida (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python.
By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
This instructor-led, live training in Florida (online or onsite) is aimed at software engineers who wish to develop advanced deep learning neural-networks and model using Keras and Python.
By the end of this training, participants will be able to:
Apply deep learning with supervised or unsupervised learning methods.
Develop, train, and implement concurrent neural networks and recurrent neural networks.
Use Keras and Python to build deep learning models to solve problems involving images, text, sound, and more.
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.
By the end of this training, participants will be able to:
Plan, build, and deploy machine learning models in KNIME.
Microservices refer to an application architecture style that promotes the use of independent, self-contained programs. Python is a dynamic high-level programming language that is ideal for both scripting as welll as application development. Python's expansive library of open source tools and frameworks make it a practical choice for building microservices.
In this instructor-led, live training, participants will learn the fundamentals of microservices as they step through the creation of a microservice using Python.
By the end of this training, participants will be able to:
Understand the basics of building microservices
Learn how to use Python to build microservices
Learn how to use Docker to deploy Python based microservices
Audience
Developers
Programmers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Machine Learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications.
In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry.
Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects.
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications.
In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry.
Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects.
By the end of this training, participants will be able to:
Understand the fundamental concepts in machine learning
Learn the applications and uses of machine learning in finance
Develop their own algorithmic trading strategy using machine learning with Python
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training in Florida (online or onsite) is aimed at network engineers who wish to maintain, manage, and design computer networks with Python.
By the end of this training, participants will be able to:
Optimize and leverage Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
Master multi-threading and multiprocessing in network automation.
Natural language generation (NLG) refers to the production of natural language text or speech by a computer.
In this instructor-led, live training, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.
By the end of this training, participants will be able to:
Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting
Select and organize source content, plan sentences, and prepare a system for automatic generation of original content
Understand the NLG pipeline and apply the right techniques at each stage
Understand the architecture of a Natural Language Generation (NLG) system
Implement the most suitable algorithms and models for analysis and ordering
Pull data from publicly available data sources as well as curated databases to use as material for generated text
Replace manual and laborious writing processes with computer-generated, automated content creation
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training in Florida (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning.
By the end of this training, participants will be able to:
View, load, and classify images and videos using OpenCV 4.
Implement deep learning in OpenCV 4 with TensorFlow and Keras.
Run deep learning models and generate impactful reports from images and videos.
This instructor-led, live training in Florida (online or onsite) is aimed at web developers who wish to parallel program with Python.
By the end of this training, participants will be able to:
Implement parallel programming techniques for performance improvements.
Synchronize threads and use multi-threading.
Execute distributed computational tasks.
Use parallel processing solutions for web applications.
This instructor-led, live training in Florida (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and manage the ParlAI platform to develop their AI models.
By the end of this training, participants will be able to share, train, and evaluate AI models to build and develop conversational solutions across existing chat services.
This is a practical course, which shows why programming is a powerful tool in the context of solving biological problems. During the course participants will be taught the Python programming language, a language widely considered both powerful as well as easy to use. This course might be considered as a demonstration how bioinformatics improves biologists lives.
The course is designed and aimed for people without computer science background who want to learn to program.
This course is suited for:
Researchers dealing with biological data.
Scientists who would like to learn how to automate everyday tasks and analyse data.
Managers who want to learn how programming improves workflows and conducting projects.
By the end of the course, participants will be able to write short programs, which will allow them to manipulate, analyse and deal with biological data and present results in a graphical format.
This instructor-led, live training in Florida (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python.
By the end of this training, participants will be able to:
Create Python programs to seek network vulnerabilities.
Explore and use Kali web shells and shellcode in exploits.
This instructor-led, live training in (online or onsite) is aimed at software developers who wish to use Python and SikuliX to automate anything on a desktop computer.
By the end of this training, participants will be able to:
Automate repetitive tasks with SikuliX scripts.
Identify text in content with text recognition.
Find and control GUI components with image recognition.
By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving not just an executional knowledge but also the logical and operational knowledge of the technology therein.
This instructor-led, live training in Florida (online or onsite) is aimed at developers who wish to use Python as the server-side language to create a web application. Various techniques and frameworks will be explored to arrive at the most suitable one for a given problem.
By the end of this training, participants will be able to:
Install and configure Python packages and frameworks.
Set up the appropriate development environment to optimize the coding process.
Write the code needed to enable common functionality expected by end users of an application (forms, database queries, calculations, etc.)
Select from a number of popular frameworks such as Django and Flask to automate redundant tasks and reduce development time.
Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn how to use Python for quantitative finance.
By the end of this training, participants will be able to:
Understand the fundamentals of Python programming
Use Python for financial applications including implementing mathematical techniques, stochastics, and statistics
Implement financial algorithms using performance Python
Audience
Developers
Quantitative analysts
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python.
By the end of this training, participants will be able to:
Understand the basics of Computer Vision
Use Python to implement Computer Vision tasks
Build their own face, object, and motion detection systems
Audience
Python programmers interested in Computer Vision
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training in Florida (online or onsite) is aimed at data analysts and data scientists who wish to use Python to build interactive data visualizations directly from the code.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating data visualizations with Python.
Understand the data visualization core concepts, use cases, and tools.
Explore the different libraries (Matplotlib, Seaborn, Bokeh, and Folium) available in Python.
Learn how to create line plots, statistical graphs, geo-spatial, and other complex data visualizations with Python.
Know the best practices and techniques for presenting and interpreting data.
This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples.
After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms, such as XGBoost, cuML, etc.
By the end of this training, participants will be able to:
Set up the necessary development environment to build data models with NVIDIA RAPIDS.
Understand the features, components, and advantages of RAPIDS.
Leverage GPUs to accelerate end-to-end data and analytics pipelines.
Implement GPU-accelerated data preparation and ETL with cuDF and Apache Arrow.
Learn how to perform machine learning tasks with XGBoost and cuML algorithms.
Build data visualizations and execute graph analysis with cuXfilter and cuGraph.
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists who wish to use Python to build recommender systems.
By the end of this training, participants will be able to:
Create recommender systems at scale.
Apply collaborative filtering to build recommender systems.
Use Apache Spark to compute recommender systems on clusters.
Build a framework to test recommendation algorithms with Python.
This instructor-led, live training (online or onsite) is aimed at developers and data scientists who wish to use spaCy to process very large volumes of text to find patterns and gain insights.
By the end of this training, participants will be able to:
Install and configure spaCy.
Understand spaCy's approach to Natural Language Processing (NLP).
Extract patterns and obtain business insights from large-scale data sources.
Integrate the spaCy library with existing web and legacy applications.
Deploy spaCy to live production environments to predict human behavior.
Use spaCy to pre-process text for Deep Learning
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
To learn more about spaCy, please visit: https://spacy.io/
This instructor-led, live training in Florida (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data.
By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.
In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.
By the end of this training, participants will be able to:
Integrate Tableau and Python using TabPy API
Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists and developers who wish to use TextBlob to implement and simplify NLP tasks, such as sentiment analysis, spelling corrections, text classification modeling, etc.
By the end of this training, participants will be able to:
Set up the necessary development environment to start implementing NLP tasks with TextBlob.
Understand the features, architecture, and advantages of TextBlob.
Learn how to build text classification systems using TextBlob.
In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations.
In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text.
By the end of this training, participants will be able to:
Use a command-line tool that summarizes text.
Design and create Text Summarization code using Python libraries.
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists who wish to use Pandas to preform predictive analysis with machine learning.
By the end of this training, participants will be able to:
This instructor-led, live training in Florida (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.
By the end of this training, participants will be able to:
Set up the necessary environment to start developing Pandas workflows at scale with Modin.
Understand the features, architecture, and advantages of Modin.
Know the differences between Modin, Dask, and Ray.
Perform Pandas operations faster with Modin.
Implement the entire Pandas API and functions.
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Testimonials (25)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The course was straight forward, intuitive, easy to follow, the exercises covered the subjects discussed beforehand.
Alexandru - BRD
Course - Python Programming Fundamentals
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Lots of examples of different cases, and materials which will be useful in future as I try to apply lessons to my work applications. Also, it was great that there were tasks to do at home in between lessons, as it gives the opportunity to pick up on the parts of the previous lesson, with which I struggled. If I had a question during a lesson, the teacher would gladly help and explain the problem, and the teacher had good expertise on all questions that were asked.
Raivis - Gravity Team
Course - Python: Automate the Boring Stuff
Transfer of practical knowledge and experience of the trainer.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Machine Translated
The trainer showed that he has a good understanding of the subject.
Marino - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days
very comprehensive in regards to doing data analysis using python
Mervin Lau - MINDEF
Course - Python for Data Analysis
Everything, great trainer.
Michał Rawicki
Course - Unit Testing with Python
Machine Translated
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.
Jenny - Andheo
Course - GPU Programming with CUDA and Python
Knowledge, substantive content, contact with others, willingness to help even with trivial problems, ability to interest listeners.
Michał
Course - Python for Excel
Machine Translated
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated
Interesting knowledge
Gabriel - MINDEF
Course - Machine Learning with Python – 4 Days
Practical examples and wider context given.
James - Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course - IoT Programming with Python
examples based on our data
Witold - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)
I'm looking forward to having a training again with Any, he was really good, I'm just a GIS guy, but Any made everything clear to me, he explained complex processes in layman's terms. Keep it up, thank you.
Lwazi Qhingana - South African National Roads Agency (SANRAL) SOC Ltd
Course - Python for Geographic Information System (GIS)
The accesibilit of the trainer and the ability to communicate very effective,
Ciprian Ilie - Institutul National de Sanatate Publica
Course - Programming for Biologists
It was a though course as we had to cover a lot in a short time frame.
Our trainer knew a lot about the subject and delivered the content to address our requirements.
It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot.
Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Content and example. virtual computer is helpful (my version of anaconda does not have Dash library yet)
Jennifer Ni - AllianceBernstein
Course - Python with Plotly and Dash
That it was applying real company data.
Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski
Course - Applied AI from Scratch in Python
The trainer has deep knowledge about the subject and was able to answer all of our questions.
Lefteris Spatharakis - Sioufas & Associates Law Firm
Course - Django CMS for Developers
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
Anthea King - WesCEF
Course - Computer Vision with Python
Its a new experience, a new framework and looking forward to do something using the lesson learnt in the classes.
Jigme - Bhutan Telecom
Course - Web Development with Django
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Course - Python for Advanced Machine Learning
I did like the exercises.
Office for National Statistics
Course - Natural Language Processing with Python
As I was the only participant the training could be adapted to my needs.
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