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Python Training

Introduction Python Training

Due to the COVID-19 our training courses will be taught via an online classroom.

Receive in-depth knowledge from industry professionals, test your skills with hands-on assignments & demos, and get access to valuable resources and tools.

This training teaches the basics of the Python programming language, and how to manage Python project environments using Anaconda. It prepares the trainees for later lessons about Pandas, scikit-learn, and matplotlib, which are Python packages important to data science. Furthermore, it covers Python’s basic data types and list of comprehensions necessary to properly master the language. This course is ideal for everyone that wants to learn how to work with Python. No prior knowledge is required. The training includes theory and hands-on assignments & labs.

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About the training & classes

The training starts by briefly describing Python’s position in the landscape of programming languages. The trainees start by installing the Anaconda manager and learn how to create a new Python environment for their project. They will also learn how to install Python packages which is necessary for the rest of the training. At this point in the lesson, everybody is guaranteed to have a working installation of Python and Anaconda, so we are ready for the second part: programming in Python.

The second part of the training introduces the Python programming language. It alternates short explanations and short exercises that cover basic data types, how to work with lists and dicts, functions, classes, objects, and list comprehensions. It ends with longer exercises in which the trainee can practice and digest what they've just learned.

Finally, the training goes in depth on list comprehensions; list comprehensions are useful in data science because they transform collections of data. They are suitable for an introductory class because they use simple expressions and their expressive power allows a ramp up to more advanced exercises.