www.freecodecamp.org/news/how-to-build-a-neural-network-with-pytorch/
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Category: python
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Google Blocky educational visual programming for Python, Javascript, PHP, LUA, Dart
Blockly is a client-side library for the programming language JavaScript for creating block-based visual programming languages (VPLs) and editors. It is a project of Google and is free and open-source software released under the Apache License 2.0.
developers.google.com/blockly/guides/overview
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JavaScript how-to free resources
Javascript VS Python
https://www.freecodecamp.org/news/python-vs-javascript-what-are-the-key-differences-between-the-two-popular-programming-languages/Built in functions
https://developer.mozilla.org/en-US/docs/Web/JavaScript/Referencehttps://htmlcheatsheet.com/js/
www.digitalocean.com/community/tutorial_series/how-to-code-in-javascript
www.codecademy.com/catalog/language/javascript
https://websitesetup.org/wp-content/uploads/2018/04/wsu-js-cheat-sheet.pdf
https://ilovecoding.org/blog/js-cheatsheet
https://javascriptobfuscator.com/Javascript-Obfuscator.aspx
https://htmlcheatsheet.com/js/
https://www.freecodecamp.org/news/how-to-manipulate-the-dom-beginners-guide/
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Spatial Media Metadata Injector – for 360 videos
The Spatial Media Metadata Injector adds metadata to a video file indicating that the file contains 360 video. Use the metadata injector to prepare 360 videos for upload to YouTube.
github.com/google/spatial-media/releases/tag/v2.1
The Windows release requires a 64-bit version of Windows. If you’re using a 32-bit version of Windows, you can still run the metadata injector from the Python source code as follows:
- Install Python.
- Download and extract the metadata injector source code.
- From the “spatialmedia” directory in Windows Explorer, double click on “gui”. Alternatively, from the command prompt, change to the “spatialmedia” directory, and run “python gui.py”.
360.Video.Metadata.Tool.mac.zip
360.Video.Metadata.Tool.win.zip
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Python mega cheat chart – intermediate course
Intermediate Python Programming Course
https://www.youtube.com/watch?v=HGOBQPFzWKo&feature=youtu.beUntil version 3.13 (https://www.pixelsham.com/2024/08/13/gil-to-become-optional-in-python-3-13/), Python is multiprocessing but not multi-threaded, due to its native memory management limitations.
When multiple threads are engaged, there is no protection to memory access and racing conditions occurs.You can work around this by using Jython or IronPython.
Or by using Python as a wrapper to call to c/c++ native code, same as numpy or scipy do.
Charts and details in the post
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scikit-learn – Machine Learning A.I. in Python
http://scikit-learn.org/stable/
Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable – BSD license
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