Advanced Python for Data Science

course_overview

Advanced syntax and case studies, for the Data Scientist. Leverage python concepts for reproducible research, data pipelining, training models, and more.

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Preface2 chapters

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  1. Introduction

  2. An introduction to Advanced Python

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Workflows4 chapters

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  1. Continuous science

  2. Scientific workflows

  3. Packages and iteration

  4. Avoiding the for loop

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Skeletons4 chapters

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  1. Classes, composition, and graphs

  2. The DAG

  3. Luigi

  4. Graphs

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Data4 chapters

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  1. Dask and Parquet

  2. Django and SQL

  3. API’s and Data

  4. More Meta

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Algorithms3 chapters

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  1. Smart & Lazy Coding

  2. Visualization

  3. Where We Are

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Appendix1 chapters

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  1. Changelog