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Expert Python programming : become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7 / Michal Jaworski and Tarek Ziadé.

By: Contributor(s): Material type: TextTextLanguage: English Publisher: Birmingham : Packt Publishing Ltd. 2019Edition: Third editionDescription: xi, 627 pages illustrations 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1789808898
  • 9781789808896
Subject(s): Additional physical formats: Online version:: Expert Python Programming.DDC classification:
  • 005.133 23
Online resources:
Contents:
Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: Before You Start; Chapter 1: Current Status of Python; Technical requirements; Where are we now and where we are going to?; Why and how Python changes; Being up-to-date with changes ­by following PEP documents; Python 3 adoption at the time of writing this book; The main differences between Python 3 and Python 2; Why should I care?; The main syntax differences and common pitfalls; Syntax changes; Changes in the standard library
Changes in data types and collections and string literalsThe popular tools and techniques used for maintaining cross-version compatibility; Not only CPython; Why should I care?; Stackless Python; Jython; IronPython; PyPy; MicroPython; Useful resources; Summary; Chapter 2: Modern Python Development Environments; Technical requirements; Installing additional Python packages using pip; Isolating the runtime environment; Application-level isolation versus system-level isolation; Python's venv; venv versus virtualenv; System-level environment isolation
Virtual development environments using VagrantVirtual environments using Docker; Containerization versus virtualization; Writing your first Dockerfile; Running containers; Setting up complex environments; Useful Docker recipes for Python; Reducing the size of containers; Addressing services inside of a Compose environment; Communicating between multiple Compose environments; Popular productivity tools; Custom Python shells -- ipython, bpython, ptpython, and so on; Setting up the PYTHONSTARTUP environment variable; IPython; bpython; ptpython
Incorporating shells in your own scripts and programsInteractive debuggers; Summary; Section 2: Python Craftsmanship; Chapter 3: Modern Syntax Elements -- Below the Class Level; Technical requirements; Python's built-in types; Strings and bytes; Implementation details; String concatenation; Constant folding, the peephole optimizer, and the AST optimizer; String formatting with f-strings; Containers; Lists and tuples; Implementation details; List comprehensions; Other idioms; Dictionaries; Implementation details; Weaknesses and alternatives; Sets; Implementation details
Supplemental data types and containersSpecialized data containers from the collections module; Symbolic enumeration with the enum module; Advanced syntax; Iterators; Generators and yield statements; Decorators; General syntax and possible implementations; As a function; As a class; Parametrizing decorators; Introspection preserving decorators; Usage and useful examples; Argument checking; Caching; Proxy; Context provider; Context managers -- the with statement; The general syntax and possible implementations; As a class; As a function -- the contextlib module
Summary: Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Högskolan Väst Våning 2 Våning 2 005.133 Python Available 6004300073480
Total holds: 0

Includes index.

Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: Before You Start; Chapter 1: Current Status of Python; Technical requirements; Where are we now and where we are going to?; Why and how Python changes; Being up-to-date with changes ­by following PEP documents; Python 3 adoption at the time of writing this book; The main differences between Python 3 and Python 2; Why should I care?; The main syntax differences and common pitfalls; Syntax changes; Changes in the standard library

Changes in data types and collections and string literalsThe popular tools and techniques used for maintaining cross-version compatibility; Not only CPython; Why should I care?; Stackless Python; Jython; IronPython; PyPy; MicroPython; Useful resources; Summary; Chapter 2: Modern Python Development Environments; Technical requirements; Installing additional Python packages using pip; Isolating the runtime environment; Application-level isolation versus system-level isolation; Python's venv; venv versus virtualenv; System-level environment isolation

Virtual development environments using VagrantVirtual environments using Docker; Containerization versus virtualization; Writing your first Dockerfile; Running containers; Setting up complex environments; Useful Docker recipes for Python; Reducing the size of containers; Addressing services inside of a Compose environment; Communicating between multiple Compose environments; Popular productivity tools; Custom Python shells -- ipython, bpython, ptpython, and so on; Setting up the PYTHONSTARTUP environment variable; IPython; bpython; ptpython

Incorporating shells in your own scripts and programsInteractive debuggers; Summary; Section 2: Python Craftsmanship; Chapter 3: Modern Syntax Elements -- Below the Class Level; Technical requirements; Python's built-in types; Strings and bytes; Implementation details; String concatenation; Constant folding, the peephole optimizer, and the AST optimizer; String formatting with f-strings; Containers; Lists and tuples; Implementation details; List comprehensions; Other idioms; Dictionaries; Implementation details; Weaknesses and alternatives; Sets; Implementation details

Supplemental data types and containersSpecialized data containers from the collections module; Symbolic enumeration with the enum module; Advanced syntax; Iterators; Generators and yield statements; Decorators; General syntax and possible implementations; As a function; As a class; Parametrizing decorators; Introspection preserving decorators; Usage and useful examples; Argument checking; Caching; Proxy; Context provider; Context managers -- the with statement; The general syntax and possible implementations; As a class; As a function -- the contextlib module

Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively.

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