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CS50 (Computer Science 50) [a] is an introductory course on computer science taught at Harvard University by David J. Malan. The on-campus version of the course is Harvard's largest class with 800 students, 102 staff, and up to 2,200 participants in their regular hackathons .
MIT OpenCourseWare (MIT OCW) is an initiative of the Massachusetts Institute of Technology (MIT) to publish all of the educational materials from its undergraduate- and graduate-level courses online, freely and openly available to anyone, anywhere.
MIT Open Learning is a Massachusetts Institute of Technology (MIT) organization, [1] [2] headed by Dimitris Bertsimas, [3] that oversees several MIT educational initiatives, such as MIT Open CourseWare, MITx, [4] MicroMasters, [5] MIT Bootcamps [6] and others.
edX was founded in May 2012 by the administrations of MIT and Harvard, [5] based on the MITx initiative, created by Piotr Mitros, Rafael Reif, and Anant Agarwal in 2011 at MIT. Gerry Sussman , Anant Agarwal , Chris Terman, and Piotr Mitros taught the first edX course on circuits and electronics from MIT, drawing 155,000 students from 162 countries.
It teaches fundamental principles of computer programming, including recursion, abstraction, modularity, and programming language design and implementation. MIT Press published the first edition in 1984, and the second edition in 1996. It was formerly used as the textbook for MIT's introductory course in computer science.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
MITX may refer to: Mini-ITX , a low-power motherboard form factor developed by VIA Technologies MITx , a massive open online course program by Massachusetts Institute of Technology
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.