Chapter 1: Introduction

• Course overview

• Course outline

• Student prerequisites and setup2

• Meet your instructor20

Chapter 2: Getting started with conda

• What are conda, Miniconda, and Anaconda?

• Choosing between Miniconda and Anaconda

• How to install conda7

• How to access conda4

Chapter 3: Managing packages with conda

• Listing packages: conda list

• Installing packages: conda install9

• Updating packages: conda update2

• Removing packages: conda remove2

• Chapter summary

Chapter 4: Managing environments with conda

• Why use conda environments?

• Creating environments: conda create

• Activating environments: conda activate, conda deactivate4

• Listing environments: conda env list

• Removing environments: conda env remove6

• More example environments2

• Chapter summary

Intermission

• Can I ask you a quick favor?

Chapter 5: Using conda channels

• What are conda channels?

• Installing a package from conda-forge2

• Configuring your channel list4

• How I use channels4

• Chapter summary

Chapter 6: Using conda and pip together

• Comparing conda, pip, and pipenv

• Best practices for using pip with conda

Chapter 7: Advanced conda features

• Duplicating environments4

• Reverting changes to your environment

• Renaming your environment

• Changing your conda settings3

• Speeding up package installation2

• Clearing your conda cache2

Conclusion

• Can I ask you a quick favor?

• What topics did I miss?8

• Request your certificate of completion

• Take another course from Data School!2

• Earn money by promoting Data School's courses!