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2 results for “data-structures”

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

Introduction to Computation and Programming Using Python — MIT Press

The official textbook companion to MIT's 6.100L course. Covers computational thinking, Python programming, algorithms, data structures, and basic statistics — written by John Guttag, one of MIT's core CS educators. Worked through this alongside my internship at NAIC. More structured than the lecture slides alone — worth having open while going through the OCW course.

mitpress.mit.edu/9780262529624/introduction-to-computation-and-programming-using-python/

Dmitriy Kuramshin#python#programming#algorithms#computer-science#MIT