Download Mastering Python by Rick van Hattem PDF

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By Rick van Hattem

Master the artwork of writing appealing and strong Python through the use of the entire good points that Python 3.5 offers

About This Book

  • Become conversant in crucial and complicated components of the Python code style
  • Learn the trickier facets of Python and placed it in a based context for deeper knowing of the language
  • Offers an expert's-eye review of ways those complicated initiatives healthy jointly in Python as a complete in addition to functional examples

Who This ebook Is For

Almost an individual can learn how to write operating script and create prime quality code yet they could lack a dependent knowing of what it skill to be 'Pythonic'. when you are a Python programmer who desires to code successfully by way of getting the syntax and utilization of some elaborate Python innovations precisely correct, this publication is for you.

What you'll Learn

  • Create a virtualenv and begin a brand new project
  • Understand how and while to take advantage of the sensible programming paradigm
  • Get conversant in the several methods the decorators could be written in
  • Understand the ability of turbines and coroutines with no digressing into lambda calculus
  • Create metaclasses and the way it makes operating with Python a long way easier
  • Generate HTML documentation out of records and code utilizing Sphinx
  • Learn the best way to song and optimize program functionality, either reminiscence and cpu
  • Use the multiprocessing library, not only in the neighborhood but in addition throughout a number of machines
  • Get a uncomplicated realizing of packaging and developing your individual libraries/applications

In Detail

Python is a dynamic programming language. it truly is recognized for its excessive clarity and as a result it is usually the 1st language discovered through new programmers. Python being multi-paradigm, it may be used to accomplish a similar factor in several methods and it really is appropriate throughout various systems. no matter if you discover writing Python code effortless, writing code that's effective, effortless to take care of, and reuse isn't so straightforward.

This ebook is an authoritative advisor that can assist you research new complex equipment in a transparent and contextualised method. It begins by means of making a project-specific surroundings utilizing venv, introducing you to assorted Pythonic syntax and customary pitfalls earlier than relocating directly to conceal the practical positive aspects in Python. It covers how one can create varied decorators, turbines, and metaclasses. It additionally introduces you to functools.wraps and coroutines and the way they paintings. in a while you are going to discover ways to use asyncio module for asynchronous consumers and servers. additionally, you will get accustomed to assorted trying out platforms equivalent to py.test, doctest, and unittest, and debugging instruments corresponding to Python debugger and faulthandler. you'll learn how to optimize software functionality in order that it really works successfully throughout a number of machines and Python models. eventually, it is going to educate you the way to entry C capabilities with an easy Python name. by way of the tip of the booklet, it is possible for you to to put in writing extra complex scripts and tackle larger challenges.

Style and Approach

This ebook is a accomplished advisor that covers complex positive factors of the Python language, and speak them with an authoritative realizing of the underlying cause for the way, while, and why to take advantage of them.

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Additional info for Mastering Python

Example text

The actual result from this code is as follows: 256 256 257 257 == is == is 256: 256: 257: 257: True True True False The catch is that Python keeps an internal array of integer objects for all integers between -5 and 256; that's why it works for 256 but not for 257. You might wonder why anyone would ever want to use is instead of ==. There are multiple valid answers; depending on the case, one is correct and the other isn't. But performance can also be a very important consideration. The basic guideline is that when comparing Python singletons such as True, False, and None, always compare using is.

Generators will be discussed more thoroughly in Chapter 6, Generators and Coroutines – Infinity, One Step at a Time. Explicit is better than implicit Imports, arguments, and variable names are just some of the many cases where explicit code is far easier to read at the cost of a little bit more effort and/or verbosity when writing the code. Here is an example: from spam import * from eggs import * some_function() [ 17 ] Pythonic Syntax, Common Pitfalls, and Style Guide While this saves you some typing, it becomes quite difficult to see where some_function is defined.

Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those!

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