Mastering Python

Cover
 Copyright
 Credits
 About the Author
 About the Reviewers
 www.PacktPub.com
 Table of Contents
 Preface
 Chapter 1: Getting Started --
One Environment per Project
 Creating a virtual Python environment using venv
 Creating your first venv
 venv arguments
 Differences between virtualenv and venv
 Bootstrapping pip using ensurepip
 ensurepip usage
 Manual pip install
 Installing C/C++ packages
 Debian and Ubuntu
 Red Hat, CentOS, and Fedora
 OS X
 Windows
 Summary
 Chapter 2: Pythonic Syntax, Common Pitfalls, and Style Guide
 Code style --
or what is Pythonic code? Formatting strings --
printf-style or str.format?PEP20, the Zen of Python
 Beautiful is better than ugly
 Explicit is better than implicit
 Simple is better than complex
 Flat is better than nested
 Sparse is better than dense
 Readability counts
 Practicality beats purity
 Errors should never pass silently
 In the face of ambiguity, refuse the temptation to guess
 One obvious way to do it
 Now is better than never
 Hard to explain, easy to explain
 Namespaces are one honking great idea
 Conclusion
 Explaining PEP8
 Duck typing
 Differences between value and identity comparisons
 Loops. Maximum line lengthVerifying code quality, pep8, pyflakes, and more
 flake8
 Pylint
 Common pitfalls
 Scope matters!
 Function arguments
 Class properties
 Modifying variables in the global scope
 Overwriting and/or creating extra built-ins
 Modifying while iterating
 Catching exceptions --
differences between Python 2 and 3
 Late binding --
be careful with closures
 Circular imports
 Import collisions
 Summary
 Chapter 3: Containers and Collections --
Storing Data the Right Way
 Time complexity --
the big O notation
 Core collections
 list --
a mutable list of items. Dict --
unsorted but a fast map of itemsset --
like a dict without values
 tuple --
the immutable list
 Advanced collections
 ChainMap --
the list of dictionaries
 counter --
keeping track of the most occurring elements
 deque --
the double ended queue
 defaultdict --
dictionary with a default value
 namedtuple --
tuples with field names
 enum --
a group of constants
 OrderedDict --
a dictionary where the insertion order matters
 heapq --
the ordered list
 bisect --
the sorted list
 Summary
 Chapter 4: Functional Programming --
Readability versus Brevity
 Functional programming
 list comprehensions. Dict comprehensionsset comprehensions
 lambda functions
 The Y combinator
 functools
 partial --
no need to repeat all arguments every time
 reduce --
combining pairs into a single result
 Implementing a factorial function
 Processing trees
 itertools
 accumulate --
reduce with intermediate results
 chain --
combining multiple results
 combinations --
combinatorics in Python
 permutations --
combinations where the order matters
 compress --
selecting items using a list of Booleans
 dropwhile/takewhile --
selecting items using a function
 count --
infinite range with decimal steps. Groupby --
grouping your sorted iterable.