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- Title: A Whirlwind Tour of Python
- Author(s) Jake VanderPlas
- Publisher: O'Reilly Media Inc (2016)
- License(s): CC0 (No Rights Reserved)
- Paperback: N/A
- eBook: HTML, PDF, etc.
- Language: English
- ISBN-10: N/A
- ISBN-13: 978-1-491-96465-1
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A Whirlwind Tour of Python is a fast-paced introduction to essential features of the Python language, aimed at researchers and developers who are already familiar with programming in another language. The material is particularly designed for those who wish to use Python for data science and/or scientific programming, and in this capacity serves as an introduction to my longer book, The Python Data Science Handbook.
About the Authors- Jake VanderPlas is the director of Open Software at the University of Washington's eScience institute, and researches and teaches in a variety of areas, including Astronomy, Astrostatistics, Machine Learning, and Scalable Computation.
- A Whirlwind Tour of Python (Jake VanderPlas)
- The Mirror Site (1) - PDF
- The Mirror Site (2) - PDF
- Jupyter Notebooks of the Book (1)
- Jupyter Notebooks of the Book (2)
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Python for Everybody: Exploring Data in Python 3
This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.
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Automate the Boring Stuff with Python (Albert Sweigart)
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You'll create Python programs that effortlessly perform useful and impressive feats of automation.
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Problem Solving with Algorithms/Data Structures using Python
This is a textbook about computer science. It is also about Python. However, there is much more. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.
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Fundamentals of Python Programming (Richard L. Halterman)
It focuses on introducing programming techniques and developing good habits. To that end, our approach avoids some of the more esoteric features of Python and concentrates on the programming basics that transfer directly to other imperative programming.
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O'Reilly® Think Python, 2nd Edition (Allen B. Downey)
This hands-on guide takes you through the Python programming language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. 2nd edition updated for Python 3.
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Functional Programming in Python (David Mertz)
It describes ways to avoid Python’s imperative-style flow control, the nuances of callable functions, how to work lazily with iterators, and the use of higher-order functions. He also lists several third-party Python libraries useful for functional programming.
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Python 3 Patterns, Recipes and Idioms (Bruce Eckel, et al)
This book is aimed at more experienced Python programmers who are looking to deepen their understanding of the language and modern programming idioms. It focuses on some of the more advanced techniques used by libraries, frameworks, and applications.
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O'Reilly® Python Data Science Handbook: Essential Tools
Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
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Introduction to Scientific Programming with Python
This book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, assuming little or no prior experience in programming.
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