Download Effective Python: 59 Specific Ways to Write Better Python by Brett Slatkin PDF

By Brett Slatkin

“Each merchandise in Slatkin’s Effective Python teaches a self-contained lesson with its personal resource code. This makes the ebook random-access: goods are effortless to browse and examine in no matter what order the reader wishes. i'll be recommending Effective Python to scholars as an admirably compact resource of mainstream recommendation on a really vast variety of subject matters for the intermediate Python programmer.”
Brandon Rhodes, software program engineer at Dropbox and chair of PyCon 2016-2017

It’s effortless to begin coding with Python, that is why the language is so renowned. despite the fact that, Python’s certain strengths, charms, and expressiveness may be tough to understand, and there are hidden pitfalls which may simply journey you up.

Effective Python may also help you grasp a really “Pythonic” method of programming, harnessing Python’s complete strength to put in writing really powerful and well-performing code. utilizing the concise, scenario-driven kind pioneered in Scott Meyers’ best-selling Effective C++, Brett Slatkin brings jointly fifty nine Python top practices, counsel, and shortcuts, and explains them with life like code examples.

Drawing on years of expertise development Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully effect code habit and function. You’ll research find out how to accomplish key projects, so that you can write code that’s more straightforward to appreciate, preserve, and improve.

Key beneficial properties include

  • Actionable directions for all significant components of Python 3.x and 2.x improvement, with exact causes and examples
  • Best practices for writing capabilities that make clear goal, advertise reuse, and keep away from bugs
  • Coverage of ways to correctly convey behaviors with sessions and objects
  • Guidance on find out how to keep away from pitfalls with metaclasses and dynamic attributes
  • More effective techniques to concurrency and parallelism
  • Better concepts and idioms for utilizing Python’s integrated modules
  • Tools and top practices for collaborative development
  • Solutions for debugging, checking out, and optimization so that it will enhance caliber and performance

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Example text

Often, to prevent syntax ambiguity, the tuple as a whole will be contained in parentheses, but this is not a requirement of the tuple itself. Tuples are immutable, so you cannot modify or extend the tuple once it is created. You can create a new tuple based on an existing one in the same way you did for strings, and you can create a new empty tuple using the tuple() type function. You can use a tuple as a key in a dictionary because they are immutable. One feature of Python tuples that is very useful is known as unpackingg.

Control then returns to the while statement and, if appropriate, a new iteration of the block will commence. Using Python Control Structures ❘ 19 The next significant looping construct in Python is the for loop, which looks like this: for item in : code block else: another code block The for loop takes each item in the iterable and executes the code block once per item. You can terminate the loop early using break or return as described for the while loop. You can terminate a single iteration of the loop using continue as described earlier.

The operation is effective in‐place, and None is returned. extend This adds the contents of a list to the end of another list, effectively joining the two lists. The original list is modified in place. None is returned. pop This removes an item from the end of a list or at the specified index if one is provided. Returns the item. index This returns the index of the first occurrence of an item in a list. Raise a ValueError if not found. ) count This returns a count of the specified item in the list.

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