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2. Python for Data Analysis, 3E - Wes McKinney

   wesmckinney.com/book

   If you find the online edition of the book useful, please consider ordering a paper copy or a DRM-free eBook (in PDF and EPUB formats) to support the author. This web version of the book was created with the Quarto publishing system. What’s New in the 3rd Edition? The book has been updated for pandas 2.0.0 and Python 3.10.

3. Learning pandas eBook (PDF) - riptutorial.com

   riptutorial.com/ebook/pandas

   Learning pandas eBook (PDF) Download this eBook for free. Chapters. Chapter 1: Getting started with pandas. Chapter 2: Analysis: Bringing it all together and making decisions. Chapter 3: Appending to DataFrame. Chapter 4: Boolean indexing of dataframes. Chapter 5: Categorical data. Chapter 6: Computational Tools.

4. books/docs/src/Python/Learning-pandas.pdf at master - GitHub

   github.com/beingCurious/books/blob/master/docs/src/Python/Learning-pandas.pdf

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5. pandas - Python Data Analysis Library

   pandas.pydata.org/pandas-docs/version/1.4.4/pandas.pdf

   pandas is a Python library for data analysis. The documentation provides guides, reference, and development information for users and contributors.

6. Pandas for Everyone: Python Data Analysis - pearsoncmg.com

   ptgmedia.pearsoncmg.com/images/9780134546933/samplepages/9780134546933_Sample.pdf

   For people brand new to Python the book contains a collection of appendixes for getting started with the language and for installing both Python and Pandas, and it covers the whole analysis pipeline, including reading data, visualization, data manipulation, modeling, and machine learning.

7. pandas: powerful Python data analysis toolkit

   pandas.pydata.org/pandas-docs/version/0.25.3/pandas.pdf

   Download documentation: PDF Version | Zipped HTML Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

8. Python For Data Analysis : O'Reilly : Free Download, Borrow, and...

   archive.org/details/python-for-data-analysis_202402

   Python for Data Analysis. Wes McKinney. 2013. 1. preliminaries. 2. introductory examples. 3. IPython: interactive computing. 4. NumPy basics: arrays and vectorized computation. 5. getting started with Pandas.

9. Books/Python for Data Analysis. Data Wrangling with Pandas ... -...

   github.com/Jffrank/Books/blob/master/Python for Data Analysis. Data Wrangling...

   Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython (2017, O’Reilly).pdf. Cannot retrieve latest commit at this time. History. 5.2 MB. Owsome books to understand different concepts. Contribute to Jffrank/Books development by creating an account on GitHub.

10. Free Python books - pythonbooks.org

    pythonbooks.org/free-books

    Hands-down one of the best books for learning Python. It teaches an absolute beginner to harness the power of Python and program computers to do tasks in seconds that would normally take hours to d...

11. pandas: powerful Python data analysis toolkit

    pandas.pydata.org/pandas-docs/version/0.18.1/pandas.pdf

    pandas: powerful Python data analysis toolkit Release 0.18.1 Wes McKinney & PyData Development Team May 03, 2016