
This free guide explains Python programming from a data science perspective and is a great starting point for both seasoned programmers and newcomers. With chapters taken from some of our best-selling books it introduces Python programming and how it can be used for data manipulation and computation, before going on to explain essential topics, including neural networks, deep learning, decision trees, and how to build a python package.
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What's included:
1. Introduction to R/Python Programming from A Tour of Data Science: Learn R and Python in Parallel
2. Python: For Something Completely Different from Data Science and Analyticswith Python
3. Thinking Deeply: Neural Networks and Deep Learning from Advanced Data Science and Analyticswith Python
4. Decision Trees and Ensemble Methods from Data Science andMachineLearning: Mathematical and Statistical Methods
5.How to Package a Python from Python Packages
Featured Titles
A Tour of Data Science: Learn R and Python in Parallel
November 12, 2020 by Chapman & Hall
ISBN: 9780367895860
Paperback
216 Pages
Data Science and Analytics with Python
August 16, 2017 by Chapman & Hall
ISBN: 9781498742092
Paperback
412 Pages
Advanced Data Science and Analytics with Python
May 05, 2020 by Chapman & Hall
ISBN: 9781138315068
Paperback
420 Pages
Data Science and Machine Learning: Mathematical and Statistical Methods
November 22, 2019 by Chapman & Hall
ISBN: 9781138492530
Hardback
538 Pages
Python Packages
April 21, 2022 by Chapman & Hall
ISBN: 9781032029443
Paperback
242 Pages