Python Without Fear by Brian Overland
English | 29 Sept. 2017 | ISBN: 0134687477 | ASIN: B075Z6JPFN | 464 Pages | AZW3 | 18.42 MB
You Will Learn Python 3!
Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed-just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else.
By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works.
Welcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. You’ll learn how to write elegant code that’s clear, concise, and efficient at executing the task at hand.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among today’s most popular programming languages. The third edition of this practical book provides a quick reference to the language-including Python 3.5, 2.7, and highlights of 3.6-commonly used areas of its vast standard library, and some of the most useful third-party modules and packages.
Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries-including Scrapy, Matplotlib, Pandas, Flask, and D3-for crafting engaging, browser-based visualizations.
The kid-friendly way to learning coding with Python