Sudipto Mitra (@Sudipto737) header
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General Purpose Engineer | Wannabe Algo Expert | Philosophy and Literature | Github - SudiptoMitra635 |

Remote
Joined September 2022
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
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Excited to share that I’m a Contributor at @girlscriptsoc 2026. Looking forward to building, learning, and contributing to open source. #OpenSource #BuildInPublic
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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
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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
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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
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Switching my code editor
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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
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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
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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)
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