仅支持付费会员使用
微信扫码开通付费会员
Secret Recipes of the Python Ninja
Cody Jackson
微信读书推荐值 0%
待评分
0人点评
推荐
一般
不行
推荐(0)
一般(0)
不行(0)
阅读
5人
体验卡可读
字数
40.5万字
微信读书推荐值 0%
待评分
0人点评
推荐
一般
不行
推荐(0)
一般(0)
不行(0)
阅读
5人
体验卡可读
字数
40.5万字
Secret Recipes of the Python NinjaCody Jackson
Whether you’ve been working with Python for a few years or you’re a seasoned programmer, you’ll have a lot of new tricks to walk away with.
Whether you’ve been working with Python for a few years or you’re a seasoned programmer, you’ll have a lot of new tricks to walk away with.
简介
Whether you’ve been working with Python for a few years or you’re a seasoned programmer, you’ll have a lot of new tricks to walk away with.
版权
出版社Packt Publishing
出版时间2018年5月
字数404,677
分类计算机-编程设计
试读结束
本书为免费体验卡可读
登录后获得专属福利 · 百万好书免费读
热门想法
复制
划线
写想法
查询
书友想法
评论
赞
0
暂无评论
发 表
回复
赞
评论详情
发 表
写想法
公开
确定删除吗？
取 消
删 除
想法 · 0
写想法
书友想法
评论
0
赞
0
暂无评论
发 表
回复
赞
评论详情
发 表
写想法
公开
查询
继续提问
Generated by AI
写想法
公开
字号大小
字体
翻译完成
切 换
译文
目录
Ai 问书
笔记
开启书友想法
上下滚动阅读
字号
浅色
Secret Recipes of the Python Ninja
Cody Jackson
- 扉页
- 版权信息+书签
- Packt Upsell
- Why subscribe?
- PacktPub.com
- Foreword
- Contributors
- About the author
- About the reviewer
- Packt is searching for authors like you
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the example code files
- Download the color images
- Conventions used
- Get in touch
- Reviews
- 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...
- 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...
- 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
- 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
- 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...
- 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...
- 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...
- 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...
- 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
- Leave a review - let other readers know what you think
Secret Recipes of the Python Ninja
已读到0% · 共0条笔记
你可以在这里记录本书的
想法、划线、书签
想法、划线、书签
点评此书
点评此书
推荐
一般
不行
公开
书友想法
评论
0
赞
0
暂无评论
发 表
回复
赞
评论详情
发 表
确定删除吗？
取 消
删 除
《Secret Recipes of the Python Ninja》
仅支持付费会员使用
仅支持付费会员使用
微信扫码开通付费会员