TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15454 · Jan 31

#javascript#atari_lynx#atari2600#atari7800#ds#emulation#emulator#emulatorjs#gameboy#n64#nes#nintendo#nintendo_game_boy#playstation#retroarch#retroarch_wasm#sega_cd#sega_mega_drive#sega_saturn#snes#virtualboy EmulatorJS is a free, open-source web-based emulator that lets you play classic games from Nintendo, Sega, Atari, and other systems directly in your browser without downloading software. It offers save states to resume games where you left off, customizable controls for keyboards and gamepads, and screen recording to share gameplay. The emulator runs entirely in your browser using JavaScript, supports multiple languages, and can be easily embedded into websites. You benefit from instant access to retro gaming across devices, no installation required, and the ability to build your own self-hosted gaming collection. https://github.com/EmulatorJS/EmulatorJS

Results

2 similar posts found

Search: #array

当前筛选 #array清除筛选
djangoproject

@djangoproject · Post #316 · 04/28/2017, 06:09 AM

https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.

djangoproject

@djangoproject · Post #129 · 08/31/2016, 03:36 PM

https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.