Table of Contents
Publishing Python Packages - Test, share, and automate your projects by Dane Hillard
See: Publishing Python Packages - Test, share, and automate your projects by Dane Hillard
Return to Practices of the Python Pro, Python Packages, Python Package Management, Cloud Monk's Package Manager Book Python Chapter
- Publishing Python Packages - Test, share, and automate your projects by Dane Hillard, Manning, MEAP began August 2021, Publication in January 2023 (estimated), ISBN 9781617299919, 248 pages (estimated)
Return to X Python, Python, Python DevOps - Python SRE - Python CI/CD, Cloud Native Python - Python Microservices - Serverless Python, Python Security - Python DevSecOps, Functional Python, Python Concurrency, Async Python, Python Data Science - Python and Databases, Python Machine Learning, Python Bibliography, Python Courses, Python Glossary, Awesome Python, Python GitHub, Python Topics
Table of Contents
- Part 1: Foundations
1 The what and why of Python package
2 Preparing for package development
3 The anatomy of a minimal Python package
Part 2: Creating a viable package
4 Handling package dependencies, entry points, and extensions
5 Building and maintaining a test suite
6 Automating code quality tooling
Part 3: Going public
7 Automating work through continuous integration
8 Authoring and maintaining documentation
9 Making a package evergreen
Part 4: The long haul
10 Scaling and solidifying your practices
11 Building a community
Appendixes
A Installing asdf and python-launcher
B Installing pipx, build, tox, pre-commit, and cookiecutter
Book Summary
Create Python packages to share your Python code in a Python scalable and Python maintainable Python way. Improve team Python productivity, Python publish helpful Python libraries, or even start your own Python open source Python project following the latest Python packaging standards.
Publishing Python Packages teaches you how to easily share your Python code with your Python team and the outside Python world. Learn a Python repeatable and highly Python automated process for Python package maintenance that’s based on the Python best practices, Python tools, and Python standards of Python packaging.
Publishing Python Packages book walks you through creating a complete Python package, including a Python C extension, and Python guides you all the way to Python publishing on the Python Package Index. You’ll get Python hands-on Python experience with the latest Python packaging tools, and learn the ins-and-outs of Python package testing and Python continuous integration. Whether you’re entirely new to Python packaging or looking for Python optimal ways to Python maintain and Python scale your Python packages, this Python fast-paced and engaging Python guide is for you.
About the Author
Dane Hillard has spent the majority of his development career using Python to build web applications.
Product Details
- Publication date: January 10, 2023
- Paperback: 245 pages
- Time to Complete: ZZZ
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Package Managers: Cloud Monk's Package Manager Book, Cloud Monk's Development PC DevOps Automation via Ansible-Chocolatey-PowerShell-Homebrew-DNF-APT, Package Manager Glossary, Operating System Package Managers (Homebrew for Linux, apt-yum-dnf-rpm-snap-AppImage on FUSE – choco-winget – Homebrew for macOS; Programming Language Package Managers: npm-nvm-yarn - pip-Anaconda-conda-miniconda - maven-gradle-sdkman-sbt-Leiningen - NuGet - go get - RubyGems - cargo - CPP Package Managers vcpkg and Conan), Package Managers for Kubernetes - Kubernetes Package Manager (Helm), Packages Managers for Containers (Packages Managers for Docker (Docker Hub), Package Managers for Podman), Package Managers for Windows (Chocolatey - choco, winget), Package Managers for macOS (Homebrew - brew), Package Managers for Linux: APT (Package Manager) - APT (KPackage, Synaptic (software) - Synaptic, Ubuntu Software Center, aptitude software) - aptitude, dselect, RPM Package Manager - RPM (APT-RPM, DNF (software) - DNF, up2date, urpmi, Rpmdrake, Yum (software) - YUM, ZYpp), Linux distribution - Distribution-agnostic (AppImage, Flatpak, GNU Guix, Homebrew (package manager) - Homebrew - brew, Nix package manager - Nix, pkgsrc, Snap (package manager) - Snap - SnapCraft - SnapCraft.io); Others (binary) (Sabayon Linux Package management - Entropy, Zenwalk netpkg, Arch Linux pacman, Pardus (operating system) - Pardus PiSi, Puppy Linux PPM, slackpkg, slapt-get, swaret, paldo (operating system) - paldo upkg); Package Format, Image, Artifact, CLIs, Command line security, Tab completion, Automation, DevOps Tools, Container Tools, K8S Tools, Programming Tools, Infrastructure as Code (IaC), CI-CD, Git-GitHub-GitOps, Scripting languages (Python scripting, Bash script, PowerShell-PowerShell DSC), Configuration Management (Terraform-Ansible-Chef-Puppet-Salt), Linux CLI Shells bash-ksh-tcsh-mksh-zsh, macOS CLI-iTerm2, Windows CLI / cmd.exe, Windows Terminal, cURL, REPLs, IDEs, Cloud IDEs. (navbar_package_manager - see also navbar_dependency_management, navbar_developer_tools, navbar_choco, navbar_brew, navbar_nvm, navbar_npm, navbar_maven, navbar_gradle, navbar_helm)
Dependency Management: Dependency Management Glossary, Dependency Management for Programming Languages, Dependency Management for Operating Systems, Dependency Management for Programming Languages, Cloud Monk's Package Manager Book Course - covers Dependencies for Containers (Dependencies for Docker and Dependencies for Podman) and Dependencies for Kubernetes, GitHub Dependency Management, Awesome Dependency Management. (navbar_dependency_management - see also navbar_package_manager)
Python: Python Variables, Python Data Types, Python Control Structures, Python Loops, Python Functions, Python Modules, Python Packages, Python File Handling, Python Errors and Exceptions, Python Classes and Objects, Python Inheritance, Python Polymorphism, Python Encapsulation, Python Abstraction, Python Lists, Python Dictionaries, Python Tuples, Python Sets, Python String Manipulation, Python Regular Expressions, Python Comprehensions, Python Lambda Functions, Python Map, Filter, and Reduce, Python Decorators, Python Generators, Python Context Managers, Python Concurrency with Threads, Python Asynchronous Programming, Python Multiprocessing, Python Networking, Python Database Interaction, Python Debugging, Python Testing and Unit Testing, Python Virtual Environments, Python Package Management, Python Data Analysis, Python Data Visualization, Python Web Scraping, Python Web Development with Flask/Django, Python API Interaction, Python GUI Programming, Python Game Development, Python Security and Cryptography, Python Blockchain Programming, Python Machine Learning, Python Deep Learning, Python Natural Language Processing, Python Computer Vision, Python Robotics, Python Scientific Computing, Python Data Engineering, Python Cloud Computing, Python DevOps Tools, Python Performance Optimization, Python Design Patterns, Python Type Hints, Python Version Control with Git, Python Documentation, Python Internationalization and Localization, Python Accessibility, Python Configurations and Environments, Python Continuous Integration/Continuous Deployment, Python Algorithm Design, Python Problem Solving, Python Code Readability, Python Software Architecture, Python Refactoring, Python Integration with Other Languages, Python Microservices Architecture, Python Serverless Computing, Python Big Data Analysis, Python Internet of Things (IoT), Python Geospatial Analysis, Python Quantum Computing, Python Bioinformatics, Python Ethical Hacking, Python Artificial Intelligence, Python Augmented Reality and Virtual Reality, Python Blockchain Applications, Python Chatbots, Python Voice Assistants, Python Edge Computing, Python Graph Algorithms, Python Social Network Analysis, Python Time Series Analysis, Python Image Processing, Python Audio Processing, Python Video Processing, Python 3D Programming, Python Parallel Computing, Python Event-Driven Programming, Python Reactive Programming.
Variables, Data Types, Control Structures, Loops, Functions, Modules, Packages, File Handling, Errors and Exceptions, Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Lists, Dictionaries, Tuples, Sets, String Manipulation, Regular Expressions, Comprehensions, Lambda Functions, Map, Filter, and Reduce, Decorators, Generators, Context Managers, Concurrency with Threads, Asynchronous Programming, Multiprocessing, Networking, Database Interaction, Debugging, Testing and Unit Testing, Virtual Environments, Package Management, Data Analysis, Data Visualization, Web Scraping, Web Development with Flask/Django, API Interaction, GUI Programming, Game Development, Security and Cryptography, Blockchain Programming, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Scientific Computing, Data Engineering, Cloud Computing, DevOps Tools, Performance Optimization, Design Patterns, Type Hints, Version Control with Git, Documentation, Internationalization and Localization, Accessibility, Configurations and Environments, Continuous Integration/Continuous Deployment, Algorithm Design, Problem Solving, Code Readability, Software Architecture, Refactoring, Integration with Other Languages, Microservices Architecture, Serverless Computing, Big Data Analysis, Internet of Things (IoT), Geospatial Analysis, Quantum Computing, Bioinformatics, Ethical Hacking, Artificial Intelligence, Augmented Reality and Virtual Reality, Blockchain Applications, Chatbots, Voice Assistants, Edge Computing, Graph Algorithms, Social Network Analysis, Time Series Analysis, Image Processing, Audio Processing, Video Processing, 3D Programming, Parallel Computing, Event-Driven Programming, Reactive Programming.
Python Glossary, Python Fundamentals, Python Inventor: Python Language Designer: Guido van Rossum on 20 February 1991; PEPs, Python Scripting, Python Keywords, Python Built-In Data Types, Python Data Structures - Python Algorithms, Python Syntax, Python OOP - Python Design Patterns, Python Module Index, pymotw.com, Python Package Manager (pip-PyPI), Python Virtualization (Conda, Miniconda, Virtualenv, Pipenv, Poetry), Python Interpreter, CPython, Python REPL, Python IDEs (PyCharm, Jupyter Notebook), Python Development Tools, Python Linter, Pythonista-Python User, Python Uses, List of Python Software, Python Popularity, Python Compiler, Python Transpiler, Python DevOps - Python SRE, Python Data Science - Python DataOps, Python Machine Learning, Python Deep Learning, Functional Python, Python Concurrency - Python GIL - Python Async (Asyncio), Python Standard Library, Python Testing (Pytest), Python Libraries (Flask), Python Frameworks (Django), Python History, Python Bibliography, Manning Python Series, Python Official Glossary - Python Glossary, Python Topics, Python Courses, Python Research, Python GitHub, Written in Python, Python Awesome List, Python Versions. (navbar_python - see also navbar_python_libaries, navbar_python_standard_library, navbar_python_virtual_environments, navbar_numpy, navbar_datascience)
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