feat: regenerate export dataset with 43 new posts and 2 new user files

Update the export statistics dataset to include 43 additional posts across existing user files (AceDev, AlgoRythm, AdamOnAir, posts-12bitfloat) and add two new user export files for AmyShackles and BlueNutterfly. The 0_dataset.txt summary now reflects 146 total lines (up from 114) with updated contribution percentages and average post lengths. Binary export artifacts (whl, tar.gz, db, graph pngs) are rebuilt to match the refreshed data.
This commit is contained in:
bot
2024-12-03 05:24:10 +00:00
parent 91335596ae
commit f5bd5e2192
217 changed files with 3699 additions and 319 deletions
+6
View File
@@ -0,0 +1,6 @@
priyanshu-kun said Hey Engineers/Developers,
I want to practice my backend skills and learn how scalable applications are built. So what I'm thinking to do is learn the high-level system design first and try to implement that learning as well.
Suppose I learned how Instagram reels/TikTok works, how they process, and how they scale to millions of users around the globe by trying to build my own scalable app.
Or I can already contribute to established open-source projects, for example, rocketchat.
What should I do?```