Python interpreters for mac

Open Source Python Interpreters for Mac

Browse free open source Python Interpreters for Mac and projects below. Use the toggles on the left to filter open source Python Interpreters for Mac by OS, license, language, programming language, and project status.

B2W Estimate software for heavy civil construction estimating and bidding designed to enable contractors to bid with speed, accuracy, and strategy. Users can pre-populate a centralized database with cost data and structures for labor, tasks, materials, and equipment and use these building blocks to complete bids.

For teams looking to improve their productivity and performance, LiquidPlanner offers the right solution. LiquidPlanner is a dynamic online project management software for businesses looking to thrive and succeed in competitive industries. Affordable and feature-packed, LiquidPlanner revolutionizes project management with its robust set of tools, such as smart schedules, resource management, cross-project visibility, contextual collaboration, integrated time tracking, and advanced analytics.

GPT-Code UI

An open source implementation of OpenAI’s ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services.

IdleX — IDLE Extensions for Python

PyInstaller

PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, AIX and Solaris. Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.3, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and uses the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party packages out-of-the-box. This means that, with PyInstaller, all the required tricks to make external packages work are already integrated within PyInstaller itself so that there is no user intervention required. You’ll never be required to look for tricks in wikis and apply custom modification to your files or your setup scripts. As an example, libraries like PyQt, Django or matplotlib are fully supported, without having to handle plugins or external data files manually.

PC-BASIC — a GW-BASIC emulator

PC-BASIC is a free, cross-platform interpreter for GW-BASIC, BASICA, PCjr Cartridge Basic and Tandy 1000 GWBASIC. — This page is an archive and hosts the legacy version 1.2 of PC-BASIC only. — For documentation and the latest releases, please see the official homepage: www.pc-basic.org Four source code, discussions and to report bugs please see the GitHub project page https://github.com/robhagemans/pcbasic

Level-Up Efficiency and Profitability In Your Supply Chain For companies in search of a cloud-native supply chain automation platform solution for their business needs

Track deductions, identify root causes, collaborate with partners, and hold everyone more accountable.

Jython

Jython is a Java implementation of the Python language. It allows users to compile Python source code to Java byte codes, and run the resulting bytecodes on any Java Virtual Machine. It is the successor to JPython.

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Download the latest version of Python

All Python releases are Open Source. Historically, most, but not all, Python releases have also been GPL-compatible. The Licenses page details GPL-compatibility and Terms and Conditions.

Sources

For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms.

Download the latest Python 3 source.

Alternative Implementations

This site hosts the «traditional» implementation of Python (nicknamed CPython). A number of alternative implementations are available as well.

History

Python was created in the early 1990s by Guido van Rossum at Stichting Mathematisch Centrum in the Netherlands as a successor of a language called ABC. Guido remains Python’s principal author, although it includes many contributions from others.

Release Schedules

See Status of Python Versions for all an overview of all versions, including unsupported.

Information about specific ports, and developer info

OpenPGP Public Keys

Source and binary executables are signed by the release manager or binary builder using their OpenPGP key. Release files for currently supported releases are signed by the following:

• Thomas Wouters (3.12.x and 3.13.x source files and tags) (key id: A821E680E5FA6305)
• Pablo Galindo Salgado (3.10.x and 3.11.x source files and tags) (key id: 64E628F8D684696D)
• Steve Dower (Windows binaries) (key id: FC62 4643 4870 34E5)
• Łukasz Langa (3.8.x and 3.9.x source files and tags) (key id: B269 95E3 1025 0568)
• Ned Deily (macOS binaries, 3.7.x / 3.6.x source files and tags) (key ids: 2D34 7EA6 AA65 421D, FB99 2128 6F5E 1540, and Apple Developer ID DJ3H93M7VJ)
• Larry Hastings (3.5.x source files and tags) (key id: 3A5C A953 F73C 700D)
• Benjamin Peterson (2.7.z source files and tags) (key id: 04C3 67C2 18AD D4FF and A4135B38)

Release files for older releases which have now reached end-of-life may have been signed by one of the following:

• Anthony Baxter (key id: 0EDD C5F2 6A45 C816)
• Georg Brandl (key id: 0A5B 1018 3658 0288)
• Martin v. Löwis (key id: 6AF0 53F0 7D9D C8D2)
• Ronald Oussoren (key id: C9BE 28DE E6DF 025C)
• Barry Warsaw (key ids: 126E B563 A74B 06BF, D986 6941 EA5B BD71, and ED9D77D5)

You can import a person’s public keys from a public keyserver network server you trust by running a command like:

or, in many cases, public keys can also be found at keybase.io. On the version-specific download pages, you should see a link to both the downloadable file and a detached signature file. To verify the authenticity of the download, grab both files and then run this command:

gpg --verify Python-3.6.2.tgz.asc

Note that you must use the name of the signature file, and you should use the one that’s appropriate to the download you’re verifying.

Other Useful Items

• Looking for 3rd party Python modules? The Package Index has many of them.
• You can view the standard documentation online, or you can download it in HTML, PostScript, PDF and other formats. See the main Documentation page.
• Information on tools for unpacking archive files provided on python.org is available.
• Tip: even if you download a ready-made binary for your platform, it makes sense to also download the source. This lets you browse the standard library (the subdirectory Lib) and the standard collections of demos (Demo) and tools (Tools) that come with it. There’s a lot you can learn from the source!
• There is also a collection of Emacs packages that the Emacsing Pythoneer might find useful. This includes major modes for editing Python, C, C++, Java, etc., Python debugger interfaces and more. Most packages are compatible with Emacs and XEmacs.

Want to contribute?

Want to contribute? See the Python Developer’s Guide to learn about how Python development is managed.

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  Installing Python 3 on Mac OS X¶

  

  If your Mac OS X version is between the above versions, you do not need to install or configure anything else to use Python 2. These instructions document the installation of Python 3.

  The version of Python that ships with OS X is great for learning, but it’s not good for development. The version shipped with OS X may be out of date from the official current Python release, which is considered the stable production version.

  Doing it Right¶

  Let’s install a real version of Python.

  Before installing Python, you’ll need to install GCC. GCC can be obtained by downloading Xcode, the smaller Command Line Tools (must have an Apple account) or the even smaller OSX-GCC-Installer package.

  If you already have Xcode installed, do not install OSX-GCC-Installer. In combination, the software can cause issues that are difficult to diagnose.

  If you perform a fresh install of Xcode, you will also need to add the commandline tools by running xcode-select —install on the terminal.

  While OS X comes with a large number of Unix utilities, those familiar with Linux systems will notice one key component missing: a package manager. Homebrew fills this void.

  To install Homebrew, open Terminal or your favorite OS X terminal emulator and run

  $ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)" 

  The script will explain what changes it will make and prompt you before the installation begins. Once you’ve installed Homebrew, insert the Homebrew directory at the top of your PATH environment variable. You can do this by adding the following line at the bottom of your ~/.profile file

  export PATH="/usr/local/opt/python/libexec/bin:$PATH" 

  If you have OS X 10.12 (Sierra) or older use this line instead

  export PATH=/usr/local/bin:/usr/local/sbin:$PATH 

  Now, we can install Python 3:

  This will take a minute or two.

  Pip¶

  Homebrew installs pip pointing to the Homebrew’d Python 3 for you.

  Working with Python 3¶

  At this point, you have the system Python 2.7 available, potentially the Homebrew version of Python 2 installed, and the Homebrew version of Python 3 as well.

  will launch the Homebrew-installed Python 3 interpreter.

  will launch the Homebrew-installed Python 2 interpreter (if any).

  will launch the Homebrew-installed Python 3 interpreter.

  If the Homebrew version of Python 2 is installed then pip2 will point to Python 2. If the Homebrew version of Python 3 is installed then pip will point to Python 3.

  The rest of the guide will assume that python references Python 3.

  # Do I have a Python 3 installed? $ python --version Python 3.7.1 # Success! 

  Pipenv & Virtual Environments¶

  The next step is to install Pipenv, so you can install dependencies and manage virtual environments.

  A Virtual Environment is a tool to keep the dependencies required by different projects in separate places, by creating virtual Python environments for them. It solves the “Project X depends on version 1.x but, Project Y needs 4.x” dilemma, and keeps your global site-packages directory clean and manageable.

  For example, you can work on a project which requires Django 1.10 while also maintaining a project which requires Django 1.8.

  This page is a remixed version of another guide, which is available under the same license.

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