Here’s a comprehensive list of Python CLI commands and techniques, including specific tools and configurations for PyCharm, PyEnvy and Python 3.

• Check Python version:

  python --version
  python3 --version

• Update Python (using pyenv for version management):

  pyenv install <version> # Install specific version
  pyenv global <version> # Set global Python version
  pyenv local <version> # Set local Python version

• List installed Python versions (using pyenv):

  pyenv versions

• List available Python versions (using pyenv):

  pyenv install --list

• Run a Python script:

  python script.py
  python3 script.py

• Run a script with additional arguments:

  python script.py arg1 arg2

• Run Python in interactive mode:

  python
  python3

• Run Python with debugging:

  python -m pdb script.py

• Run a script with specific environment variables:

  ENV_VAR=value python script.py

• Install a package:

  pip install package-name
  pip3 install package-name

• Install a package from a requirements.txt file:

  pip install -r requirements.txt

• Uninstall a package:

  pip uninstall package-name

• List installed packages:

  pip list

• Show details of a specific package:

  pip show package-name

• Update a package to the latest version:

  pip install --upgrade package-name

• Check for outdated packages:

  pip list --outdated

• Freeze the current environment’s packages to a file:

  pip freeze > requirements.txt

• Check for vulnerabilities in installed packages (using safety):

  pip install safety
  safety check

• Create a virtual environment:

  python -m venv venv
  python3 -m venv venv

• Activate the virtual environment:

  source venv/bin/activate # Unix/macOS
  .\venv\Scripts\activate # Windows

• Deactivate the virtual environment:

  deactivate

• Remove a virtual environment:

  rm -rf venv # Unix/macOS
  rmdir /s /q venv # Windows

• Run Python with optimizations:

  python -O script.py

• Compile Python scripts to bytecode:

  python -m py_compile script.py

• Compile Python scripts to an executable (using PyInstaller):

  pip install pyinstaller
  pyinstaller --onefile script.py

• Generate a profile of your Python code’s performance (using cProfile):

  python -m cProfile script.py

• Generate a code coverage report (using coverage):

  pip install coverage
  coverage run script.py
  coverage report

• Start debugging with pdb (Python Debugger):

  python -m pdb script.py

• Set a breakpoint in your code:

  import pdb; pdb.set_trace()

• Debug with ipdb (IPython Debugger):

  pip install ipdb
  python -m ipdb script.py

• Run tests with unittest:

  python -m unittest discover

• Run tests with pytest:

  pip install pytest
  pytest

• Run tests with nose:

  pip install nose
  nosetests

• Lint Python code with flake8:

  pip install flake8
  flake8 script.py

• Lint Python code with pylint:

  pip install pylint
  pylint script.py

• Format Python code with black:

  pip install black
  black script.py

• Check code formatting with pylint:

  pylint --max-line-length=88 script.py

• Create a new package template:

  python setup.py sdist

• Build a package:

  python setup.py sdist bdist_wheel

• Upload a package to PyPI:

  pip install twine
  twine upload dist/*

• Download a package from PyPI:

  pip download package-name

• Set environment variables:

  export ENV_VAR=value # Unix/macOS
  set ENV_VAR=value # Windows

• Use .env files with python-dotenv:

  pip install python-dotenv

  In script.py:

  from dotenv import load_dotenv
  load_dotenv()

• Run PyCharm from the command line:

  pycharm # or pycharm64, depending on your installation

• Open a project in PyCharm from the command line:

  pycharm /path/to/project

• Open a file in PyCharm from the command line:

  pycharm /path/to/file.py

• Configure a Python interpreter in PyCharm:

  • Go to File > Settings > Project > Python Interpreter
  • Add or select the interpreter (Python 2.x or 3.x)

• Use PyCharm's Terminal to execute commands:

  • Open the Terminal tab within PyCharm to run Python commands, pip commands, and other shell commands.

• Run configurations and debugging in PyCharm:

  • Create and manage run/debug configurations through Run > Edit Configurations.
  • Use breakpoints and the integrated debugger to step through code.

• Manage Python environments in PyCharm:

  • Create and manage virtual environments via File > Settings > Project > Python Interpreter > Add.

• Install a package in PyCharm’s Terminal:

  pip install package-name

• Check package versions and dependencies within PyCharm:

  • Use the "Project Interpreter" settings to view and manage packages.

This extensive list covers fundamental and advanced Python CLI commands, including package management, virtual environments, debugging, testing, and code quality. It also includes PyCharm-specific commands and features for effective development and environment management within PyCharm.