Before I had a shared data structure and algorithm of course, many small partners private letter I asked if any Python version.
Read some public after school, Peking University today especially recommend this course to everyone: "Data Structures and Algorithms Python version."
Course Overview
Many students want to switch to machine learning, and indeed mastered some machine learning models and principles have basic programming skills, but in the written test, interview, when will the ball dropped, the probability of large data structures and algorithms knowledge is weak. Data structures and algorithms is the programmer's internal organs Heart and basic skills. Whether or other artificial intelligence computer science, master a solid knowledge of data structures and algorithms, often help a lot!
Peking University, open class "version of Python data structures and algorithms" for having Python programming language foundation of university students and the general public, explains common basic data structures and algorithms related to classical, emphasizing the problem - data - abstraction algorithms, data structures, attention time and space efficiency of the algorithm, training students to write efficient programs, comprehensive ability to solve practical problems.
This course commenced at the Chinese University of MOOC ongoing second time, has been to the fifth week, students can also impatient to see the full version for the first time directly to the commencement of little change.
Mu class: http://www.icourse163.org/course/0809PKU068-1206307812
B station: https://www.bilibili.com/video/BV1h7411m7BK/
B station go Bin onlookers teacher
This course is a speaker teacher Chen Bin, Chen Peking University School of Earth and space science teachers, Ph.D., associate professor, master tutor. The undergraduate course "Data Structures and Algorithms (Python Edition)", "Discrete Mathematics" and so on.
You can go to the B station onlookers Bin teachers live Q & A
https://space.bilibili.com/275008758
Supporting materials
Online:
http://interactivepython.org/runestone/static/pythonds/index.html
PDF version:
http://gis4g.pku.edu.cn/download/sessdsa-textbook/
