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MITx: Introduction to Computer Science and Programming Using Python. 4.6 stars. 284 ratings. An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. Play Video. 9 weeks. 14–16 hours per week. Instructor-paced. Instructor-led on a course schedule. Free. Optional upgrade available.
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 ….
Lecture 1: Introduction. Topics: Introduction to Python: knowledge, machines, objects, types, variables, bindings, IDEs. View video page.
Introduction to CS and Programming using Python. View the complete course: Transcript. Lecture 2: Strings, Input/Output, and Branching.
Course Description. This subject is aimed at students with little to no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems.
This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science.
Introduction to Python Programming by Penn on Coursera: Learn core programming concepts like data structures, conditionals, loops, variables, and functions. Get hands-on coding experience with custom functions and file operations. Ideal for beginners seeking a comprehensive start.
An introduction to programming using a language called Python. Learn how to read and write code as well as how to test and "debug" it. Designed for students with and without prior programming experience who'd like to learn Python specifically.
Our textbook Introduction to Programming in Python [ Amazon · Pearson ] is an interdisciplinary approach to the traditional CS1 curriculum. We teach all of the classic elements of programming, using an "objects-in-the-middle" approach that emphasizes data abstraction.
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.