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  1. Perhaps you could compile CPython to JavaScript using Emscripten, and then run CPython in the browser. It might be possible to call Python functions from JavaScript, and vice versa. syntensity.com/static/python.html.

  2. May 18, 2024 · Skulpt is a unique open-source Python-to-JavaScript compiler that implements Python in the browser by compiling Python code into JavaScript at runtime. This approach lets us use Python’s syntax and powerful libraries directly within the web apps.

  3. 5 days ago · The recently released Python 3.11 also brings big speedups and improved JavaScript interop. Python makes an excellent companion to Node.js: using child_process.spawn we can build Node frontends that interface Python number crunching on the backend. Here is a simple Node script that runs a Python process to tokenize some text:

    • Python in the browser, precompiled for speed: https://www.transcrypt.org
    • Readability
    • Main differences with CPython
    • License
    • How to contribute
    • Deployment testing
    • What's new in the latest commits
    • Other packages you might like

    •Precompiled into highly readable, efficient JavaScript, downloads kB's rather than MB's

    •Multiple inheritance, optional operator overloading, metaclasses, async/await, properties, decorators, hierarchical modules etc.

    •Seamless integration with the universe of high-quality web-oriented JavaScript libraries, rather than the desktop-oriented Python ones

    •Pure Python 3.9 syntax, using Python's native parser

    •Debug directly from Python sourcecode, through integrated sourcemaps

    •Generates JavaScript for humans, resembling the Python source line by line, optionally annotated with source line numbers

    As can be seen below, there's a simple parallel between the Python and the JavaScript code. In combination with the use of sourcemaps, this enables efficient debugging. Also, code can be tested from the command prompt using stubs.

    Classic OO with multiple inheritance in JavaScript

    •Web batteries: Seamless access to any existing JavaScript library has been favored over inclusion of many Python libraries in the distribution. There are some exceptions to this rule, e.g. math, cmath, random, itertools, re, time, datetime and turtle, and some more may follow, but in general the accent is on libraries that are relevant in the browser.

    •No eval and exec of Python code. This is again part of the concept. Transcrypt code is compiled, optimized and minified in advance to warant fast page loads. In this respect its design goal is fundamentally different from tools that compile on the fly in the browser. Transcrypt is targeted towards building professional, extensive, real world web applications that load and run as fast as their JavaScript counterparts, but offers Pythonically clean, modular structure and maintainability.

    Copyright 2014 - 2023 Jacques de Hooge, GEATEC engineering, www.geatec.com

    Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

    Transcrypt started out as a personal repo, owned by Jacques de Hooge. As the project caught on and the number of people contributing issues, ideas and code grew, the repo was transferred to the QQuick organisation, to be able to form a developer team on GitHub. Then more recently, to insure its continued development, the GitHub repo has been moved to TranscryptOrg, where Transcrypt and related projects can be more centrally located.

    There was also a clear message in this: Transcrypt isn't owned by anyone in particular. It is the collective property of everyone using it or contributing to it. At the same time the need was felt to keep a very firm grip on code quality, especially of the core.

    Everything under ../transcrypt/modules/org/transcrypt plus the file ../transcrypt/__main__.py is considered to be part of Transcrypt's core. A major design goal is to keep the core small and fast. This means that some CPython facilities were deliberately left out or simplified. Core development is still mainly done by Jacques, but with the input of many great ideas submitted as issues. If you want to improve something in the core, this is best initiated by first opening an issue for it. Opening a pull request directly can lead to disappointment, although all effort is made to take good ideas seriously.

    All other parts of Transcrypt are referred to as periphery. While a good quality pull request for the periphery stands a reasonable chance of being accepted, still it is wise to start an issue beforehand, allowing coordination and preventing waste of effort.

    A special place is taken by implementing standard libraries. While Transcrypt mostly relies on browser-centric JavaScript libraries, availability of a limited number of standard libraries will help acceptance by Python programmers. So you're most welcome to make a contribution here. The design goal again is: better 90% complete, fast, small, and reliable, than 100% complete, slow, bulky and buggy. If you contribute a library, please also contribute an autotest (see docs) and some documentation for it. The supported platforms are Windows and Linux (and, with that, OSX).

    While being open and respectful to any good ideas, the final say as to what gets in and what doesn't, is with Jacques. So this is a dictatorial rather than a democratic project. Being a sailer himself, Jacques values the notion of having one captain on a ship. The captain doesn't own the ship, but he serves the passengers by consulting with the crew and plotting one stable course.

    The full set of testlets is described in the documentation and comes with the distribution. Each release is preceded by at least the following tests:

    •The automated back to back test described above, not only on Linux but also on Windows and, in case of relevant issues, on OSX.

    •Automated compilation of the manual tests, human exercising of the resulting applications and a visual check of the results.

    •Automated compilation of the demo's, human exercising of the resulting applications and a visual check of the results.

    •Code generator adapted to Python 3.9 parser

    •Updated README and packaging configuration

    •Numscrypt - port of a microscopic part of NumPy to Transcrypt, using JavaScript typed arrays: https://github.com/QQuick/Numscrypt

    •SimPyLC - PLC simulator with Arduino code generation: https://github.com/QQuick/SimPyLC

  4. Oct 11, 2024 · Here are some key features of the GFG practice platform: 1. Various Language Support. GFG supports over five languages, including Python, C++, Java, JavaScript, and C#. This allows users to practice coding in their preferred language, helping them prepare for interviews and coding challenges with ease.

  5. May 28, 2021 · In this post, we will learn how to use it with JavaScript async await. You will find that it is easy if you already wrote codes for both languages. I will suppose that you already know how to handle packages in Python and JavaScript. You should read python-bridge repository and follow the examples before you read on this post.

  6. May 12, 2024 · Before we can run our C code through JavaScript, we need to compile it into an executable. This step transforms the high-level C code into machine code that the computer's processor can execute directly. We use gcc, a popular C compiler: Testing it directly in the terminal: ./main hello! Output: hello! 3. Crafting the JavaScript Executor.

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