Machine Learning

Crash Course in Python for Machine Learning Developers

Last Updated on August 21, 2019

You do not need to be a Python developer to get started using the Python ecosystem for machine learning.

As a developer who already knows how to program in one or more programming languages, you are able to pick up a new language like Python very quickly. You just need to know a few properties of the language to transfer what you already know to the new language.

In this post, you will get a crash course in Python and the core libraries needed for machine learning. Namely: NumPy, MatPlotLib and Pandas.

This will be just enough information to help you read and understand code Python code examples for machine learning and start developing your own scripts. If you already know a little Python, this post will be a friendly reminder for you.

Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

  • Update Mar/2017: Updated all print statements to work with Python 2 and Python 3.
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