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).

https://towardsdatascience.com/5-python-coding-questions-asked-at-faang-59e6cf5ba2a0

https://towardsdatascience.com/6-python-questions-you-should-practice-before-coding-interviews-f958af55ad13

https://towardsdatascience.com/binary-search-in-python-the-programming-algorithm-8b8fa039eaa

https://towardsdatascience.com/essential-python-coding-questions-for-data-science-interviews-4d33d15008e6

https://towardsdatascience.com/3-simple-questions-to-hone-python-skills-for-beginners-in-2021-f12da38f83cf

https://towardsdatascience.com/python-numpy-and-matrices-questions-for-data-scientists-167af1c9d3a4

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

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.

Email: yeleihua@gmail.com

LinkedIn: www.linkedin.com/in/leihuaye

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