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WebsiteGeneral0 points

MITx 6.00.1x & 6.00.2x — Computational Thinking Using Python

The edX version of MIT's computational thinking courses, split into two parts. 6.00.1x covers Python fundamentals and algorithmic thinking; 6.00.2x goes deeper into data structures, stochastic thinking, and simulation. A solid alternative to the OCW version if you prefer a more structured format with graded assignments. Free to audit (full access to all materials). Verified certificate available for an additional fee if needed. [Enroll on edX](https://www.edx.org/xseries/mitx-computational-thinking-using-python)

edx.org/xseries/mitx-computational-thinking-using-python
Dmitriy Kuramshin#python#computational-thinking#algorithms#MIT#edX
WebsiteGeneral0 points

MIT 6.100L — Introduction to CS and Programming Using Python

MIT's official introductory CS and Python course, freely available on OpenCourseWare. Covers Python fundamentals, computational thinking, algorithms, recursion, data structures, and object-oriented programming — with full lecture slides, problem sets, and exams included. Went through this during my internship at NAIC. Solid foundation before jumping into anything ML-related.

ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/
Dmitriy Kuramshin#python#programming#algorithms#computer-science#MIT