What's new in this second edition of the Python Automation Cookbook? The book has been completely revised, with various details extended and clarified, to make it easier to understand. The new edition also includes three extra chapters that expand the content. The first of them covers dealing efficiently with real-world data, showing how to create a data pipeline that includes cleaning up and processing the data, one of the most important problems dealing with real data. The second chapter teaches you how to use machine learning in an easy and practical way, without requiring the reader to be an expert, just by configuring existing models. The last new chapter explains how to work and run tests, something that will greatly improve the coding abilities of the reader. What do you believe are the key takeaways from your book? Other than a specific recipe, a key element is that there are a lot of available libraries and modules in Python that help in a broad range of day-to-day operations. The book is full of examples that present a range of options on what’s available to do, but it’s not exhaustive in any way. The Python library is vast. Another running theme is to show that different recipes can be combined into more complex tasks, so I encourage everyone to try and experiment on their own to achieve their tailored automation. What makes the Python Automation Cookbook stand out from other automation books? I think what makes this book different is the fact that the different recipes in the book are not presented in a vacuum. The book also shows how to use these recipes as steps in a bigger process, with some examples. The full power of automation is to combine different elements into complex actions. There are chapters dedicated to showing how different automation can be applied one after the other to help in different stages of a project. In the end, we are not looking at code itself, in the abstract, but as a way of achieving results, and those require multiple elements working in coordination.
✔ Author(s): Jaime Buelta
✔ Title: Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more, 2nd Edition
✔ Rating : 4.5 out of 5 base on (93 reviews)
✔ ISBN-10: 1800207085
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
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