

Python Made Easy: A Beginner's Guide to Coding, Data Structures, and Practical Applications - Paperback
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- Understand Python fundamentals, including variables, loops, and data structures. What is object-oriented programming, inheritance, and file handling. Explore numerical computing with NumPy and data visualization using Matplotlib. Gain hands-on experience with unit testing, Monte Carlo integration, and real-world applications.
Marco Gähler began his career studying physics at ETH Zurich before transitioning to software engineering. In 2018, he joined Zurich Instruments, where he developed electronic devices used in quantum computing. At the time of writing, he is founding a company EasyCare, which organizes home treatment of elderly people.
Throughout his career, Marco has observed the pitfalls in code written by self-taught developers, for example PhD students, and recognized the need for clear, practical guidance on simple programming practices.
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- Understand Python fundamentals, including variables, loops, and data structures. What is object-oriented programming, inheritance, and file handling. Explore numerical computing with NumPy and data visualization using Matplotlib. Gain hands-on experience with unit testing, Monte Carlo integration, and real-world applications.
Marco Gähler began his career studying physics at ETH Zurich before transitioning to software engineering. In 2018, he joined Zurich Instruments, where he developed electronic devices used in quantum computing. At the time of writing, he is founding a company EasyCare, which organizes home treatment of elderly people.
Throughout his career, Marco has observed the pitfalls in code written by self-taught developers, for example PhD students, and recognized the need for clear, practical guidance on simple programming practices.
Contributor(s)
Author
