mirmoazam/python_leetcode_coding

Python_LeetCode_Coding

For the coding part in any Data Science Interviews, there are mainly four components: Data Structure & Algorithm, Machine Learning Algorithms, Math and Statistics, and Data Manipulation. In this repository, I will host real interview questions asked by major tech companies and their Python solutions. On each topic, I will write a technical post on my Medium blog (https://leihua-ye.medium.com).

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

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: [email protected]

LinkedIn: www.linkedin.com/in/leihuaye

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