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#trapezoidalrule #Numericalintegration #pythoncodeman In this short Python Tutorial i demonstrate how to Numerically Integrate a function Using the Trapezoidal Rule in 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#pythonlists #pythonbeginnerstutorial #learnpython #pythoncodeman This Python Beginners Tutorial will give you a solid understanding on how to manipulate Lists in Python. 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#learnpython #pythonmodule #pythonfunctions #pythonbeginnerstutorial #modulesinpython #pythoncodeman In this python beginners tutorial, by the end of the video you will learn the 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#learnpython #pythonvariables #pythondatatypes #pythonbeginnerstutorial #pythonbasicoperations #pythoncodeman This Python Beginners Tutorial, talks about Variables, Python Data Types 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#derivatives #integration #limits #sympytutorial #pythoncodeman In this tutorial, i demonstrate how you can use the sympy python package to compute the derivatives, partial derivatives...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCABEAHgDASIAAhEBAxEB/8QAHQAAAQMFAQAAAAAAAAAAAAAAAAQFCAECAwYHCf/EAEkQAAECBAMDBQwIAwYHAAAAAAECAwAEBREGEiEHEzEUFiJB0ggVMjdRUlVWYZGUlSMzU3GEobGzJHKBF0JiY4LxNENkc5K04f/EABsBAAEFAQEAAAAAAAAAAAAAAAACAwQFBgEH/8QANhEAAQIDB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#sympy #computationalphysics #learnpython #pythonbeginnerstutorial #pythoncodeman In this Python or computational physics tutorial i will show you how to deal with symbols, manipulating...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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#pythontuples #pythonfullcourse #learnpython #pythonbeginnerstutorial #pythoncodeman This Python Beginners tutorial explains exactly everything you would like to know about tuples: 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tasty_os, which has a 90% like rating from the community. In this exercise, we’ll take any non-negative integer, rearrange its digits, and return the highest possible number. If you’re ready...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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those looking to level up their skills! 👇 Download the source code & files here: [\"https://github.com/MrCodeMan33333333333/Se...\"] #PythonProject #passwordmanager #MrCodeMan 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Welcome to another exciting episode of our programming challenge solutions series! Today, we're diving into a LeetCode problem titled 'Group Anagrams'. This problem involves 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#learnpython #python #Toppythonapplications #learntocode #pythontutorials #pythoncodeman In this video we talk briefly about the top applications of Python in our daily 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