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  1. Bachelor- und Master-Studium flexibel abends und am Wochenende. Ein Studium an der FOM: flexibel, praxisnah und persönlich. Jetzt informieren.

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  1. This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but th...

    • 820 Min.
    • 6,8M
    • freeCodeCamp.org
  2. So, by the end of this course, you will know the fundamentals of Python and Rhino script, but importantly, through the lens of their application in geometrically focused design lessons and exercises. Subjects covered in this course - An introduction to Design Computing as a subject and why designers should learn to code. - The fundamentals of coding in the Python scripting language. By the end ...

  3. Upon completion of the course, students receive a certificate of accomplishment from University of Michigan ECE to include in college applications. Have fun while learning Students use Python to learn how coding powers Snapchat, TikTok, Instagram, and Siri…and even learn how to code their own Snapchat lenses!

  4. This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA] - TSG405/Applied-Machine-Learning-in-Python

  5. The second course in Python for Everybody explores variables that contain collections of data like string, lists, dictionaries, and tuples. Learning how to store and represent and manipulate data collections while a program is running is an important part of learning how to program.

  6. I recently completed the "Programming for Everybody" course offered by the University of Michigan on Coursera, and I must say it was an excellent introduction to Python programming. As someone with little prior programming experience, this course provided me with a solid foundation in Python and ignited my passion for coding.

  7. The courses in this specialization feature a variety of assignments that will test the learner’s knowledge and ability to apply content through concept checks, written analyses, and Python programming assessments. These assignments are conducted through quizzes, submission of written assignments, and the Jupyter Notebook environment.

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