Get Started with Anaconda

Take your first steps using Anaconda Distribution, working with conda, and writing your first Python program.

1 Hour 22 Lessons

What you'll learn—and how you can apply it

By the end of this hands-on course, you’ll understand:

How different parts of the technology stack work together
Basic data science concepts and tools
How to install Anaconda
At least 5 common Python packages and their uses
Useful libraries for data science and machine learning
How to open and work with a Jupyter notebook or IDE

Description

In this entry-level course, we’ll show you when and how to use Anaconda tools. You’ll learn about packages, conda environments, Jupyter Notebooks, integrated development environments (IDEs), and more. We’ll walk you through a Python program (in a notebook and in an IDE) and see what happens when a bug in Python code is identified. Check out the Introduction to Python Programming Learning Path to learn more about using Python.

      Instructor

      Anaconda Team

      Curriculum

      22 Lessons
      What is Python?
      What are Modules, Packages, and Libraries?
      Anaconda Distribution versus Miniconda
      Installing Anaconda (Windows)
      Installing Anaconda (Mac)
      Installing Anaconda (Linux)
      Installing Miniconda (Windows)
      Understanding conda
      Conda Workflow: Creating Environments, Installing Packages, and Launching an IDE
      Anaconda Navigator Overview
      What is an IDE?
      What is Jupyter Notebook and JupyterLab?
      Create a simple Python program in Jupyter
      Create a simple Python program in Spyder
      Create a simple Python program in PyCharm
      Create a simple Python program in VS Code
      Create a simple Python program in a text editor
      Accessing Old Revisions
      Sharing An Environment
      Notebook Debugging Tools
      Conda Cheat Sheet
      End of course survey
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