#54738
Mentioned in 1 episodes

Python For Data Analysis

Data Wrangling with pandas, NumPy, and Jupyter
Book • 2012
This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python.

It focuses on the Python programming language and its data-oriented library ecosystem, particularly pandas, NumPy, and Jupyter.

The book equips readers to become effective data analysts by providing a guide to the latest versions of these tools.

It covers data manipulation, preparation, and cleaning, and is ideal for those looking to build data applications using Python

Mentioned by

Mentioned in 1 episodes

Mentioned by Ravid at the end of the podcast, asking about the next edition of the book.
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Mentioned by
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Wes McKinney
as one of his books that came out 13 years ago.
Roger Peng: Sustaining data science — in classrooms, code, and conversations
Mentioned by
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Wes McKinney
as the book he wrote after dropping out of his PhD program to work on Pandas full-time.
Wes McKinney: Part 1 — Building Pandas, Arrow, and a speedrunning legacy
Mentioned by
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Wes McKinney
when discussing the challenges of writing books about open-source software.
Mine Çetinkaya-Rundel: Teaching in the AI era — and keeping students engaged
Mentioned by
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Hugo Bowne-Anderson
as the author of the book related to data analysis in Python.
#48 Managing Data Science Teams
Recommended by
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Harpreet Sahota
as an excellent book to introduce Python to those new to programming.
457: Landing Your Data Science Dream Job
Mentioned by
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Jeroen Janssens
as a book whose author Wes McKinney had to write his own tooling to parse the XML.
#197: Polars with Jeroen Janssens and Thijs Nieuwdorp

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