Setting Up Your Python Environment

Join us for a hands-on training where you will learn how to install common tools to work with Python, including the Anaconda distribution and the git version control software. You'll also learn how to create virtual environments to make collaboration easy, and how to leverage Jupyter Notebooks and the Spyder IDE for effective data science work. This session runs for three hours.

Fill out the form to access the webinar recording, along with the accompanying slides and other resources.

What will I learn?

You will learn how to:

  • Install Python using the Anaconda distribution.

  • Create and manage virtual environments to enable effective collaboration with other data scientists.

  • Launch and work with Jupyter Notebooks and the Spyder IDE for Python.

  • Install and set up Git for version control.

What should I prepare?

Users should have access to a web browser, and the ability to download software on their PC or laptop. All other materials will be provided during the session.

Who should attend?

This course is open to all DataCamp Premium learners, looking to get started working with R on their own PC or laptop. Note that part of the session involves installing software—you should have access to a PC or laptop where you have permission to do this.

We recommend that you take our Introduction to Python course as a prerequisite.


Adel Nehme

Data Science Evangelist at DataCamp

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Connect with Adel on LinkedIn and Twitter.

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