Secret recipes of the Python Ninja over 70 recipes that uncover powerful programming tactics in Python

Test your Python programming skills by solving real-world problems About This Book Access built-in documentation tools and improve your code. Discover how to make the best use of decorator and generator functions Enhance speed and improve concurrency by conjuring tricks from the PyPy project Who Thi...

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Detalles Bibliográficos
Otros Autores: Jackson, Cody, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham ; Mumbai : Packt Publishing [2018]
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631467506719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright and Credits
  • Packt Upsell
  • Foreword
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: Working with Python Modules
  • Introduction
  • Using and importing modules and namespaces
  • How to do it...
  • How it works...
  • There's more...
  • Implementing virtual Python environments
  • Getting ready
  • How to do it...
  • How it works...
  • There's more...
  • Python package installation options
  • How to do it...
  • How it works...
  • Utilizing requirement files and resolving conflicts
  • How to do it...
  • How it works...
  • There's more...
  • Using local patches and constraint files
  • How to do it...
  • How it works...
  • There's more...
  • Working with packages
  • How to do it...
  • How it works...
  • There's more...
  • Creating wheels and bundles
  • How to do it...
  • How it works...
  • There's more...
  • Comparing source code to bytecode
  • How to do it...
  • How it works...
  • There's more...
  • How to create and reference module packages
  • How to do it...
  • How it works...
  • There's more...
  • Operating system-specific binaries
  • How to do it...
  • There's more...
  • How to upload programs to PyPI
  • Getting ready
  • How to do it...
  • How it works...
  • Project packaging
  • How to do it...
  • Uploading to PyPI
  • Getting ready
  • How to do it...
  • How it works...
  • Chapter 2: Utilizing the Python Interpreter
  • Introduction
  • Launching Python environments
  • How to do it...
  • How it works...
  • Utilizing Python command options
  • How to do it...
  • How it works...
  • Interface options
  • Generic options
  • Miscellaneous options
  • See also...
  • Working with environment variables
  • How to do it...
  • How it works...
  • Making scripts executable
  • How to do it...
  • There's more...
  • Modifying interactive interpreter startup
  • How to do it...
  • See also.
  • Alternative Python implementations
  • How to do it...
  • There's more...
  • Installing Python on Windows
  • Getting ready
  • How to do it...
  • Using the Windows Python launcher
  • How to do it...
  • Embedding Python with other applications
  • How to do it...
  • How it works...
  • Using alternative Python shells - IPython
  • Getting ready
  • How to do it...
  • There's more...
  • Using alternative Python shells - bpython
  • Getting ready
  • How to do it...
  • There's more...
  • Using alternative Python shells - DreamPie
  • Getting ready
  • How to do it...
  • There's more...
  • Chapter 3: Working with Decorators
  • Introduction
  • Reviewing functions
  • How to do it...
  • How it works...
  • Introducing decorators
  • How to do it...
  • How it works...
  • Using function decorators
  • How to do it...
  • How it works...
  • Using class decorators
  • How to do it...
  • Examples of decorators
  • Getting ready
  • How to do it...
  • How it works...
  • There's more...
  • Using the decorators module
  • How to do it...
  • How it works...
  • There's more...
  • See also
  • Chapter 4: Using Python Collections
  • Introduction
  • Reviewing containers
  • How to do it...
  • There's more...
  • Lists and tuples
  • Dictionaries
  • Sets
  • Implementing namedtuple
  • How to do it...
  • There's more...
  • Implementing deque
  • How to do it...
  • Implementing ChainMap
  • How to do it...
  • Implementing Counters
  • How to do it...
  • There's more...
  • Implementing OrderedDict
  • How to do it...
  • Implementing defaultdict
  • How to do it...
  • Implementing UserDict
  • How to do it...
  • Implementing UserList
  • How to do it...
  • There's more...
  • Implementing UserString
  • How to do it...
  • Improving Python collections
  • How to do it...
  • Default dictionaries
  • Named tuples
  • Ordered dictionaries
  • Looking at the collections - extended module
  • Getting ready.
  • How to do it...
  • setlist
  • bags
  • RangeMap
  • Bijection
  • Chapter 5: Generators, Coroutines, and Parallel Processing
  • How iteration works in Python
  • How to do it...
  • Using the itertools module
  • How to do it...
  • Infinite iterators
  • Combinatoric iterators
  • Terminating iterators
  • Using generator functions
  • How to do it...
  • How it works...
  • There's more...
  • Simulating multithreading with coroutines
  • How to do it...
  • There's more...
  • When to use parallel processing
  • How to do it...
  • There's more...
  • Forking processes
  • How to do it...
  • How it works...
  • There's more...
  • How to implement multithreading
  • How to do it...
  • There's more...
  • Advantages
  • Disadvantages
  • How to implement multiprocessing
  • How to do it...
  • There's more...
  • Chapter 6: Working with Python's Math Module
  • Using the math module's functions and constants
  • How to do it...
  • Working with complex numbers
  • How to do it...
  • Improving decimal numbers
  • How to do it...
  • Increasing accuracy with fractions
  • How to do it...
  • Working with random numbers
  • How to do it...
  • Using the secrets module
  • How to do it...
  • Implementing basic statistics
  • How to do it...
  • Improving functionality with comath
  • Getting ready
  • How to do it...
  • Chapter 7: Improving Python Performance with PyPy
  • Introduction
  • What is PyPy?
  • Getting ready
  • How to do it...
  • There's more...
  • What is RPython?
  • How to do it...
  • Flow restrictions
  • Object restrictions
  • Integer types
  • There's more...
  • Some real-world examples
  • How to do it...
  • There's more...
  • Chapter 8: Python Enhancement Proposals
  • Introduction
  • What are PEPs?
  • How to do it...
  • There's more...
  • PEP 556 - Threaded garbage collection
  • Getting ready
  • How to do it...
  • There's more...
  • PEP 554 - Multiple subinterpreters.
  • How to do it...
  • How it works...
  • Channels
  • There's more...
  • PEP 551 - Security transparency
  • Getting ready
  • General security
  • Python and security
  • How to do it...
  • PEP 543 - Unified TLS API
  • How to do it...
  • There's more...
  • Chapter 9: Documenting with LyX
  • Introduction
  • Python documentation tools and techniques
  • How to do it...
  • Inline comments and the dir command
  • Using docstrings
  • How to do it...
  • There's more...
  • Using PyDoc help
  • How to do it...
  • HTML reports
  • How to do it...
  • Using reStructuredText files
  • Getting ready
  • How to do it...
  • Using the Sphinx documentation program
  • Getting ready
  • How to do it...
  • Using LaTeX and LyX document preparation programs
  • Getting ready
  • How to do it...
  • There's more...
  • Other Books You May Enjoy
  • Index.