Treading on Python Volume 1 is a book designed to bring developers and others who are anxious to learn Python up to speed quickly. Treading on Python lets you learn the hints and tips to be Pythonic quickly. Matt Harrison has over 10 years Python experience across the domains of. Do you want to take your Python to the next level? Python is easy to learn. You can learn the basics in a day and be productive with it. But there. Abstract. This document is a selflearning document for a course in Python topics that are of interest to Python programmers, and (3) a Python.
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Want to learn Python but can't be around a computer all day? Then keep reading Below are 15 free Python eBooks, plus a couple extra, that. eBook Review: Treading on Python Volume 2: Intermediate Python. April 3, Books, PythonBook Print Friendly, PDF & Email. Facebook Twitter Share. eBook Review: Treading on Python This week, I discovered a new book on Python titled Treading on Python Print Friendly, PDF & Email.
Why I finished it: Because the book proved to be very interesting.
Python programmers who have a good understanding of the basics but are looking to grow in their Python skills. Now if you have a few more minutes, you can read my full review after the jump!
This book is available on site as a Kindle book only at the time of writing as far as I can tell. The copy I received was in epub format though, so there may be another version available somewhere…. I found the writing to be almost error free with only a smattering of typos here and there, mostly in the 2nd half of the book. The book is split up into 3 sections not including the Introduction.
Thus begins the first section in which he covers lambda, map, reduce, filter, recursion, list, set and dict comprehensions, and finally, the operator module. He used a lot of the topics that followed the lambda to illustrate advanced uses of the lambda construct.
I thought it was intriguing and ended up learning some new tricks that I hope to implement in my own code soon. The 2nd section is devoted to Iteration and Generators. In it, you will learn the difference between iterables and iterators, how to construct a normal generator and an object generator and the author also gives tips about when to use a generator versus a list.
He also shows some real life examples of generators and iterators in the Python core. He does this a little in the first section as well. Search Query. Created with Sketch. Sign In Sign Up. What you will learn Distilled best practices and tips How interpretted languages work Using basic types such as Strings , Integers , and Floats Best practices for using the interpreter during development The difference between mutable and immutable data Sets , Lists , and Dictionaries , and when to use each Gathering keyboard input How to define a class Looping constructs Handling Exceptions in code Slicing sequences Creating modular code Using libraries Laying out code Community prescribed conventions.
Share this book Feedback Email the Author s. Introduction Why Python? Which Version of Python? Python installation Which editor? Treading on Python: Volume 2 Intermediate Python.
Matt Harrison. Learning the Pandas Library. Illustrated Guide to Python 3. Write and Publish on Leanpub Authors, publishers and universities use Leanpub to publish amazing in-progress and completed books and courses, just like this one.
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