Python_LeetCode_Coding

KO | EN

gitlite — search

#typescript #ai-agents #ai #dsh-plugin #deepseek-harness #open-source #cli #claude-code #codex #developer-tools #react #windows

Python_LeetCode_Coding

★ 69 Open GitHub ↗

No description available.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Python_LeetCode_Coding

There are four coding components in Data Science Interviews: Data Structure & Algorithm, Machine Learning Algorithms, Math & Statistics, and Data (String) manipulation.

I live-code real interview questions asked by major tech companies in this repository and host the Python code here. On each topic, there is a detailed technical blog post available on my Data Science blog: https://leihua-ye.medium.com.

To maximize the utility of this repo, I'd suggest combining both materials and practice at your own pace.

## Part 1: Math and Statistics: 
https://towardsdatascience.com/5-python-coding-questions-asked-at-faang-59e6cf5ba2a0

## Part 2: Data Manipulation, part 1:
https://towardsdatascience.com/6-python-questions-you-should-practice-before-coding-interviews-f958af55ad13

## Part 3: Binary Search
https://towardsdatascience.com/binary-search-in-python-the-programming-algorithm-8b8fa039eaa

## Part 4: Data Manipulation, part 2:
https://towardsdatascience.com/essential-python-coding-questions-for-data-science-interviews-4d33d15008e6

## Part 5: 3 Simple Questions to Hone Python Skills for Beginners in 2021
https://towardsdatascience.com/3-simple-questions-to-hone-python-skills-for-beginners-in-2021-f12da38f83cf

## Part 6: Python Numpy and Matrices Questions for Data Scientists
https://towardsdatascience.com/python-numpy-and-matrices-questions-for-data-scientists-167af1c9d3a4

## Part 7.1: Master Python Dictionary for Beginners, Part One
https://towardsdatascience.com/master-python-dictionary-for-beginners-in-2021-1cdbaa17ec45

## Part 7.2: Master Python Dictionary for Advanced Users, Part Two
https://towardsdatascience.com/master-data-type-dictionary-in-python-from-zero-to-hero-part-2-6513aad883de?sk=23264e4e8bb82db4229918f28a34a0c8

## Part 8: Python Array and String Manipulation Questions for Data Scientists
https://towardsdatascience.com/python-string-manipulation-for-data-scientists-in-2021-c5b9526347f4

## Part 9: How to Solve Python Coding Questions using Math
https://towardsdatascience.com/how-to-solve-python-coding-questions-using-math-72d5540b5a24

## Part 10: How to Solve Python Coding Questions using Stack
https://towardsdatascience.com/how-to-solve-python-coding-questions-using-stack-94571f31af3f

## Part 11: Why Data Scientists Should Learn Dynamic Programming
https://towardsdatascience.com/why-data-scientists-should-learn-dynamic-programming-e50dfe62a5c7?sk=2f50d13ab53a4984153e4ccda8870bb1

## Installing
We need to install two packages: numpy and matplotlib.pyplot.

## About the Author

Leihua Ye is a Ph.D. Researcher at the UC, Santa Barbara. He has received extensive training in Causal Inference, Research Design, Machine Learning, Big Data, and Machine Learning.

He receives his B.A. and M.A. from the Uni. of Nottingham.

## Contact

Email: yeleihua@gmail.com

LinkedIn: www.linkedin.com/in/leihuaye

Tech Blog: https://leihua-ye.medium.com

Python_LeetCode_Coding

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README