Learn how to Make Life Easier with Anaconda
summary
Shows exactly how to reproduce working environments: use conda create to make a Python 2 or R env, run Python 2, Python 3 and R scripts, and fix Unicode and dependency errors; use conda install to add pandas and other binaries, then conda env export to write an environment.yml and upload notebooks to Anaconda Cloud. Demonstrates package + environment management, cross-language (Python/R) execution, and that sharing the YAML lets others run the code; notes Anaconda breaks a million downloads/month.
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chapters (13)
- 0:00Anaconda introduction
- 3:38Anaconda ecosystem
- 7:14Problems solved by Anaconda
- 13:12How conda manages packages
- 20:46Python 2 environment
- 27:35Installing software with conda
- 33:53Exporting environments
- 43:41Running R with Anaconda
- 51:15Reproducibility in computing
- 1:04:37Jupyter notebooks
- 1:12:47Sharing notebooks on cloud
- 1:18:51Creating conda packages
- 1:21:46Q&A
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