Conda Essentials for Data Scientists
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Learn more
Chapter 1: Introduction
Course overview
Course outline
Student prerequisites and setup
Meet your instructor
Chapter 2: Getting started with conda
What are conda, Miniconda, and Anaconda?
Choosing between Miniconda and Anaconda
How to install conda
How to access conda
Chapter 3: Managing packages with conda
Listing packages: conda list
Installing packages: conda install
Updating packages: conda update
Removing packages: conda remove
Chapter summary
Chapter 4: Managing environments with conda
Why use conda environments?
Creating environments: conda create
Activating environments: conda activate, conda deactivate
Listing environments: conda env list
Removing environments: conda env remove
More example environments
Chapter summary
Intermission
Can I ask you a quick favor?
Chapter 5: Using conda channels
What are conda channels?
Installing a package from conda-forge
Configuring your channel list
How I use channels
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 environments
Reverting changes to your environment
Renaming your environment
Changing your conda settings
Speeding up package installation
Clearing your conda cache
Conclusion
Can I ask you a quick favor?
What topics did I miss?
Request your certificate of completion
Take another course from Data School!
Earn money by promoting Data School's courses!
Products
Course
Section
Lesson
Student prerequisites and setup
Student prerequisites and setup
Conda Essentials for Data Scientists
Buy now
Learn more
Chapter 1: Introduction
Course overview
Course outline
Student prerequisites and setup
Meet your instructor
Chapter 2: Getting started with conda
What are conda, Miniconda, and Anaconda?
Choosing between Miniconda and Anaconda
How to install conda
How to access conda
Chapter 3: Managing packages with conda
Listing packages: conda list
Installing packages: conda install
Updating packages: conda update
Removing packages: conda remove
Chapter summary
Chapter 4: Managing environments with conda
Why use conda environments?
Creating environments: conda create
Activating environments: conda activate, conda deactivate
Listing environments: conda env list
Removing environments: conda env remove
More example environments
Chapter summary
Intermission
Can I ask you a quick favor?
Chapter 5: Using conda channels
What are conda channels?
Installing a package from conda-forge
Configuring your channel list
How I use channels
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 environments
Reverting changes to your environment
Renaming your environment
Changing your conda settings
Speeding up package installation
Clearing your conda cache
Conclusion
Can I ask you a quick favor?
What topics did I miss?
Request your certificate of completion
Take another course from Data School!
Earn money by promoting Data School's courses!
conda documentation
Python Environment
(xkcd comic)