http://www.pyinstaller.org/documentation.html

PyInstaller Documentation

You can install PyInstaller using pip as shown:
```bash
pip install pyinstaller
```

Installing PyInstaller

If you're looking to use PyInstaller to create an executable, navigate to the folder where your relevant Python file(s) are located. Then, run the following command:
```bash
pyinstaller myscript.py
```
PyInstaller will then do a few things. It will generate a myscript.spec file in the same folder as your script. This spec file is actually a Python program itself, and PyInstaller simply runs the script contained in the myscript.spec file to create the executable. The spec file contains many options for how PyInstaller will generate your exe, which can actually be modified (but usually this is not necessary). 

Next, PyInstaller creates a build folder and adds some log files to it. It then creates a dist folder where it writes the executable. This folder will contain dependency files, many of them .dll files, if the --onefile setting was not set. If the --onefile setting was set, there will just be an executable file which you can run from anywhere and distribute to anyone.
```bash
pyinstaller --onefile myscript.py
```
There are many other options PyInstaller gives you when creating the executable, including ways to exclude/include specific binary files. This is useful if you want to remove files that are from packages irrelevant to the final build of your project. For example, debugging packages could be excluded from the build to keep the file size more manageable. For more information on PyInstaller's command options, see the documentation.

Creating an executable using PyInstaller

This package will take an ordinary python file and convert it into an executable that can be run on a computer without Python installed. This is useful for any project you're working on in Python that you want to be available to regular users. This package works on Windows, Linux, and Mac OS. You can even use the one-file setting which creates an executable with no dependency files needed to run it!

University of Michigan - Ann Arbor

- Anaconda
- Pycharm
- Jupyter Notebook
- Command-Line Interface (CLI)
- pyenv 
- PyInstaller
- pylint

Popular Tools for Python

Jupyter Notebook is the main project of Project Jupyter. It is a free,  open-source, browser-based tool for creating and presenting data science work. Jupyter Notebooks are primarily used with Python, but there are various different kernels for other programming languages as well. Jupyter Notebook is integrated within Anaconda.

Jupyter Notebook

An integrated development environment (IDE) is a software application that provides comprehensive facilities to computer programmers for software development. An IDE normally consists of at least a source code editor, build automation tools and a debugger.

Integrated Development Environments

Anaconda is a free and open-source distribution of the Python programming language which brings many of the tools used in data science and machine learning with just one install. 

* https://www.anaconda.com/

Anaconda

PyInstaller

Command-line interface (CLI) is a text-based user interface that allows a user to execute functions through text input (commands). Both Windows and macOS machines have their own CL interpreters:
- Command Prompt/PowerShell (Windows)
- Terminal (macOS - UNIX based)

There are also software package managers for command-line which makes working in a CLI much more comfortable of an experience.
- Chocolatey (Windows)
- Homebrew (macOS)

Command-Line Interface (CLI)

Pygame is a Python library for game development, including multiple independent modules to help create games. It's written on top of SDL, which is a library for interacting with hardware peripherals and graphical displays. Pygame's modules can be installed separately and swapped out, making it a modular package. Pygame is not a game engine or framework.

Pygame

pyenv is an open-source Python version management tool for the command-line. It allows for the changing of both global and local versions of Python, and resolves the issue of different local Python projects supporting different versions of Python. It also allows for the installation of any currently supported or legacy version of Python. macOS machines utilize pyenv whereas Windows machines must use pyenv-win.

pyenv

Pylint is a powerful command line tool used to check for errors in python code. Pylint tries to enforece the PEP8 style guide, and can also report back certain errors within the code and recommend edits to resolve them.

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Related

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