Contributing to open-source made me realize how important core subjects of CS really are.
-Operating Systems explains why async code, threads, locks, processes, tracing, and schedulers behave the way they do.
-Probability & Statistics becomes essential for ML, analytics, ranking systems, and even A/B testing.
And the best part is that classroom theory feels less theoretical. You start recognizing classroom concepts inside actual production code.
#GSSoC2026
Day 23/100 of #100DaysOfCode
Big day today:
• My PR got merged in GSSoC 🎉
https://t.co/UjAfTI1dvP
• Developed another feature for Execra and raised a new PR
• Revised SQL concepts
• Studied Linear Algebra for 1.5 hours
• Studied Statistics for 1.5 hours
Slowly stacking consistency, code, and fundamentals every single day.
#GSSoC #OpenSource #Python #SQL #DataScience #MachineLearning #Statistics #LinearAlgebra #CodingJourney #Developer #Programming #Tech #SoftwareEngineering #BuildInPublic #LearnInPublic #100DaysOfCode
Day 23/100 of #100DaysOfCode
Big day today:
• My PR got merged in GSSoC 🎉
https://t.co/UjAfTI1dvP
• Developed another feature for Execra and raised a new PR
• Revised SQL concepts
• Studied Linear Algebra for 1.5 hours
• Studied Statistics for 1.5 hours
Slowly stacking consistency, code, and fundamentals every single day.
#GSSoC #OpenSource #Python #SQL #DataScience #MachineLearning #Statistics #LinearAlgebra #CodingJourney #Developer #Programming #Tech #SoftwareEngineering #BuildInPublic #LearnInPublic #100DaysOfCode
Day 20 of #100DaysOfCode:
Maths for ML:
- Normal Distribution
- Non-Gaussian Distribution
- Central Limit Theorem
- Confidence Interval
- Hypothesis Testing
- Chi Square Test
- ANOVA
#dataScience#Python#math#ML#AI
Day 20 of #100DaysOfCode:
Maths for ML:
- Normal Distribution
- Non-Gaussian Distribution
- Central Limit Theorem
- Confidence Interval
- Hypothesis Testing
- Chi Square Test
- ANOVA
#dataScience#Python#math#ML#AI