Day 23/100 of #100DaysOfCode
Big day today:
• My PR got merged in GSSoC 🎉
github.com/sahoo-tech/Execra…
• 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 22 of #100DaysOfCode
Pytest:
- Function testing
- Class testing with fixtures
- Api and DB mocking
#python #dataScience #LearnInPublic #BuildInPublic
Excited to share that I’m a Contributor at @girlscriptsoc 2026.
Looking forward to building, learning, and contributing to open source.
#OpenSource #BuildInPublic
Day 17 of #100DaysOfCode:
Python internals:
- Created a Custom Context Manager for file handling with both Class and Decorators
- Static typing using Pydantic
Maths for ML:
- Quantiles and Percentiles
- BoxPlot theory
- Covariance calculation
- Correlation
- Correlation vs Causation
#LearnInPublic #BuildInPublic #DataScience #Python
Day 16 of #100DaysOfCode:
Descriptive Statistics:
- Measure of central tendencies: Mean, Median, Mode, Weighted Mean, Trimmed Mean
- Measure of dispersion: Range, Variation, Standard Deviation
- Coefficient of Variation
- Graphs for univariate analysis & bivariate analysis
- Revised, made notes and dug deep into python internals with @Hiteshdotcom
#LearnInPublic #BuildInPublic #DataScience
Day 16 of #100DaysOfCode:
Descriptive Statistics:
- Measure of central tendencies: Mean, Median, Mode, Weighted Mean, Trimmed Mean
- Measure of dispersion: Range, Variation, Standard Deviation
- Coefficient of Variation
- Graphs for univariate analysis & bivariate analysis
- Revised, made notes and dug deep into python internals with @Hiteshdotcom
#LearnInPublic #BuildInPublic #DataScience
Day 15 of #100DaysOfCode
- Regular Expressions
- OS module
- Requests module
- AsyncIO in Python
#LearnInPublic #BuildInPublic #Python #DataScience
Day 9 of #100daysofcode
- Done with Git, GitHub and best practices with @Hiteshdotcom
- DB Normal form: 1NF, 2NF, 3NF, BCNF, 4NF, 5NF
- DB equivalent functional dependencies
#datascience #LearnInPublic
Day 8 of #100daysofcode:
Started working on Dynamic-DB Flask web development framework:
- Learnt basic html and css
- Learnt to build and crawl routes
Thanks @freeCodeCamp for this providing this tutorial
I didn’t get much done today because I had an exam and stayed up last night preparing for it. 🥱🥱🥱
#webdev #python #flask #DataDriven
Day 8 of #100daysofcode:
Started working on Dynamic-DB Flask web development framework:
- Learnt basic html and css
- Learnt to build and crawl routes
Thanks @freeCodeCamp for this providing this tutorial
I didn’t get much done today because I had an exam and stayed up last night preparing for it. 🥱🥱🥱
#webdev #python #flask #DataDriven
Day 7 of #100DaysOfCode:
- Performed bivariate analysis of price column with other numerical column
- Performed median imputation on external memory card maximum size to fill missing values
#LearnInPublic #DataAnalysis #DataScience
Most phones with hight pixel density (>300) have bare minimum 5000 mAh battery capacity and fast charging capacity less than 55 watts. Need opinion
#dataScience #LearnInPublic
5. Price correlation with other columns
- 0.41 correlation between price and the number of rear cameras
- Only a 0.28 correlation with the primary camera's megapixels
- Display Size (0.12) has almost no impact on price, whereas Pixel Width (0.61) and Pixel Height (0.45) have a huge impact.
- Number of Front Cameras (0.35) is more strongly linked to price than Primary Front Megapixels (0.15).
- Display PPI (0.48) and RAM (0.54).
- Highly correlated with cpu speed (0.77)












