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๐Ÿฑ My GitHub Data

๐Ÿ“ฆ 1.1 MB Used in GitHub's Storage

๐Ÿšซ Not Opted to Hire

๐Ÿ“œ 53 Public Repositories

๐Ÿ”‘ 11 Private Repositories

I'm a Night ๐Ÿฆ‰

๐ŸŒž Morning                10 commits          โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.42 % 
๐ŸŒ† Daytime                52 commits          โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   12.56 % 
๐ŸŒƒ Evening                66 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   15.94 % 
๐ŸŒ™ Night                  286 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   69.08 %

๐Ÿ“… I'm Most Productive on Monday

Monday                   71 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   17.15 % 
Tuesday                  33 commits          โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   07.97 % 
Wednesday                49 commits          โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   11.84 % 
Thursday                 70 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   16.91 % 
Friday                   67 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   16.18 % 
Saturday                 64 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   15.46 % 
Sunday                   60 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   14.49 %

๐Ÿ“Š This Week I Spent My Time On

๐Ÿ•‘๏ธŽ Time Zone: Asia/Shanghai

๐Ÿ’ฌ Programming Languages: 
TypeScript               3 hrs 50 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘   80.08 % 
MDX                      22 mins             โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   07.95 % 
Markdown                 8 mins              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.99 % 
JavaScript               8 mins              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.83 % 
JSON                     6 mins              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.35 % 

๐Ÿ”ฅ Editors: 
VS Code                  4 hrs 48 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 % 

๐Ÿ’ป Operating System: 
Mac                      4 hrs 48 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 %

Last Updated on 15/05/2024 00:57:44 UTC

JiongXin's Projects

aiinterview icon aiinterview

็ฎ—ๆณ•ๅทฅ็จ‹ๅธˆ้ข่ฏ•้ข˜ๆ•ด็†

analytics icon analytics

Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.

awesome-cs-books icon awesome-cs-books

:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: ไผ˜็ง€่ฎก็ฎ—ๆœบ็ง‘ๅญฆไธŽๆŠ€ๆœฏ้ข†ๅŸŸ็›ธๅ…ณ็š„ไนฆ็ฑๅฝ’ๆกฃ

blog icon blog

Note about ML, Backend, Frontend , and maybe system

book-pdf icon book-pdf

ๆญฃๅœจไปฅๅŠ้˜…่ฏป่ฟ‡็š„็”ตๅญไนฆ

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

chatgpt-next-web icon chatgpt-next-web

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). ไธ€้”ฎๆ‹ฅๆœ‰ไฝ ่‡ชๅทฑ็š„่ทจๅนณๅฐ ChatGPT/Gemini ๅบ”็”จใ€‚

chatgpt-web icon chatgpt-web

็”จ Express ๅ’Œ Vue3 ๆญๅปบ็š„ ChatGPT ๆผ”็คบ็ฝ‘้กต

intro_ds icon intro_ds

Code to accompany Mastering Data Science from PT press

mediacrawler icon mediacrawler

ๅฐ็บขไนฆ็ฌ”่ฎฐ | ่ฏ„่ฎบ็ˆฌ่™ซใ€ๆŠ–้Ÿณ่ง†้ข‘ | ่ฏ„่ฎบ็ˆฌ่™ซใ€ๅฟซๆ‰‹่ง†้ข‘ | ่ฏ„่ฎบ็ˆฌ่™ซใ€B ็ซ™่ง†้ข‘ ๏ฝœ ่ฏ„่ฎบ็ˆฌ่™ซใ€ๅพฎๅšๅธ–ๅญ ๏ฝœ ่ฏ„่ฎบ็ˆฌ่™ซ

ml-nlp icon ml-nlp

ๆญค้กน็›ฎๆ˜ฏๆœบๅ™จๅญฆไน (Machine Learning)ใ€ๆทฑๅบฆๅญฆไน (Deep Learning)ใ€NLP้ข่ฏ•ไธญๅธธ่€ƒๅˆฐ็š„็Ÿฅ่ฏ†็‚นๅ’Œไปฃ็ ๅฎž็Žฐ๏ผŒไนŸๆ˜ฏไฝœไธบไธ€ไธช็ฎ—ๆณ•ๅทฅ็จ‹ๅธˆๅฟ…ไผš็š„็†่ฎบๅŸบ็ก€็Ÿฅ่ฏ†ใ€‚

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