Welcome to micc2’s documentation!

Contents:

• Micc2
  • Credits
    • Roadmap
• Installation
  • Installation on your desktop or laptop
  • Installation on a HPC cluster
  • What about virtual environments?
  • Windows
    • Native Windows Python environment
    • WSL-2
    • Cygwin
  • First time Micc2 setup
• Usage
• Applications (CLI)
• API
  • Package et-micc2
• Frequently asked questions
  • Can I use Anaconda Python distributions?
  • Can I use micc2 on the (VSC) clusters?
  • IDEs and editors
• Tutorials
  • 1. Getting started with Micc2
    • 1.1. Creating a project with micc2
    • 1.2. First steps in project management using Micc2
    • 1.3. Miscellaneous
  • 2. A first real project
    • 2.1. Testing the code
    • 2.2. Improving efficiency
  • 3. Binary extension modules
    • 3.1. Introduction - High Performance Python
    • 3.2. Adding Binary extensions to a Micc2 project
    • 3.3. Building binary extension modules from Fortran
    • 3.4. Building binary extensions from C++
    • 3.5. Data type issues
    • 3.6. Documenting binary extension modules
  • 4. Adding Python submodules
    • 4.1. Adding a Python Command Line Interface
  • 5. Version control and version management
    • 5.1. Version control with Git
    • 5.2. Git support from Micc2
    • 5.3. Git workflow
  • 6. Version management
  • 7. Publishing your code
    • 7.1. Publishing to the Python Package Index
    • 7.2. Publishing your documentation on readthedocs.org
  • 8. Debugging binary extensions
    • 8.1. Mixed Python/C++ debugging with lldb and pdb
    • 8.2. Mixed Python/Fortran debugging with gdb and pdb on Linux
• Interesting links
  • For Beginners
  • Python as a language
  • Software engineering
  • Python internals
  • Python for HPC
  • Code modernization
  • Profiling
  • Memory profiling
  • Resource monitoring
  • Python idioms and readability
  • Useful packages
  • Exceptions
  • Type checking in Python
  • Design patterns
  • Testing
  • Debugging
  • Logging
  • Scientific Python
  • Artificial intelligence, machine learning and data science
  • Pandas
  • CLIs and scripting
  • GUI
  • Packaging
  • Graphics
  • Installing packages
  • Tools
  • git and other VCS
  • Development environment, developement workflow
  • CI/CD
  • Problem solving
  • Documentation
  • Django
  • Fortran/C/C++ Syntax
  • C++
  • Compilers
  • Notebooks
  • Containers
  • Windows
  • Linux
  • Programming blogs
  • QUOTES
• Authors
  • Development
• History
• Change log
  • v3.0.0
  • v2.0.0

Indices and tables

• Index

• Module Index

• Search Page