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  1. Course Description 6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their …

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      MIT OpenCourseWare is a web based publication of virtually...

    • Lecture Videos

      Introduction to Computer Science and Programming in Python....

    • Syllabus

      Course Meeting Times. Lectures: 2 sessions / week, 1 hour /...

    • Lecture Slides and Code

      2 Branching and Iteration Slides for Lecture 2 (PDF) Code...

  2. These courses introduce principles of computer science and begin to develop programming skills, specifically in the Python language. Learn more about these courses’ learning goals, history and student experience in this MIT news article.

  3. 10 Φεβ 2021 · 13 MIT courses you can take online for free: Machine Learning with Python: from Linear Models to Deep Learning. picture alliance / Contributor / Getty Images. Time commitment: 15 weeks. Cost: Free to audit; $300 for verified certificate. This course offers an in-depth introduction to the field of machine learning.

  4. ocw.mit.edu › courses › 6-100l-introduction-to-cs-and-programming-using-pythonLecture 1: Introduction - MIT OpenCourseWare

    Lecture 1: Introduction. Topics: Introduction to Python: knowledge, machines, objects, types, variables, bindings, IDEs. View video page. Download video.

  5. An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.

  6. Course info. What is computation. Python basics. Mathematical operations. Python variables and types. NOTE: slides and code files up before each lecture. Highly encourage you to download them before class. Take notes and run code files when I do. Do the in-class “You try it” breaks.

  7. MIT OpenCourseWare (OCW) is a free, publicly accessible, openly-licensed digital collection of high-quality teaching and learning materials, presented in an easily accessible format. Browse through, download and use materials from more than 2,500 MIT on-campus courses and supplemental resources, all available under a Creative Commons license ...

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