Football Analytics with Python & R. Earl
β Eric A. Eager; Richard A. Erickson
π Library
π
2023
π O'Reilly Media, Inc.
π English
β¦ LIBER β¦
π
Foundations for Analytics with Python (Early Release)
β Scribed by Clinton W. Brownley
- Publisher
- O'Reilly Media
- Year
- 2016
- Tongue
- English
- Leaves
- 81
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Many of Excels 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale data processing and analysis of different data formats with Python, using business-relevant examples with complete, easy-to-read code.
Beginning with the basics of Python, author Clinton Brownley shows you how to deal with Excel, CSV, and text files in Python, leading up to scheduling scripts to automatically gather and process information without human intervention. More practical than many other introductions to Python, this book gives you skills you can immediately apply in your job.
π SIMILAR VOLUMES
Foundations for Analytics with Python
β Clinton W. Brownley
π Library
π
2016
π OβReilly Media
π English
<div><p>Many of Excel's 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale data processing and
Foundations for Analytics with Python
β Clinton W. Brownley
π Library
π
2016
π OβReilly Media
π English
<div><p>Many of Excel's 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale data processing and
Foundations for Analytics with Python
β Clinton W. Brownley
π Library
π
2016
π OβReilly Media
π English
<div><p>Many of Excel's 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale data processing and
Test-Driven Development with Python: Ear
β Percival H.
π Library
π English
OβReilly Media, 2013β 54 p. β ISBN: 1449367798, 9781449367794<div class="bb-sep"></div>With Early Release ebooks, you get books in their earliest form β the author's raw and unedited content as he or she writes β so you can take advantage of these technologies long before the official release of the
Scaling Python with Dask (Sixth Early Re
β Holden Karau and Mika Kimmins
π Library
π
2023
π O'Reilly Media, Inc.
π English
Dask is a free and open source library for parallel computing in Python that helps you scale your data science and machine learning workflows. With this quick but thorough resource, data scientists and Python programmers will learn how Dask provides APIs that make it easy to parallelize PyData libra