PyCharm is a leading tool for Python development. In this course, instructor Mehdi Oulmakki introduces several key best practices for Python development and shows you how to use PyCharm as a one stop shop solution for managing the intricacies of development. First, Mehdi walks you through installing Python and PyCharm and gives you some useful tips and tricks for writing and developing code with PyCharm. He shows you how to create and navigate your projects in the PyCharm UI. Next, Mehdi discusses ways to use PyCharm with Git and GitHub to organize, save, and collaborate on your work. He covers managing dependencies, then goes into facets of code quality, how debugging improves your code quality, and ways to use breakpoints and unit tests for debugging. Plus, Mehdi goes over the principles and purpose of code style and the quality-of-life features within PyCharm that help reformat and refactor your code safely.
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1οΈβ£ Understand Python Internals:
Learn how Python handles memory (GIL), garbage collection, and optimize code performance.
β¨ Example: Debugging a slow script by identifying memory leaks.
2οΈβ£ Leverage Async Programming:
Master async/await to build scalable and faster applications.
β¨ Example: Using async to handle thousands of API requests without crashing.
3οΈβ£ Create & Publish Python Packages:
Build reusable libraries, document them, and share on PyPI.
β¨ Example: Publishing your own data-cleaning toolkit for others to use.
4οΈβ£ Master Python for Emerging Tech:
Dive into areas like quantum computing (Qiskit) or AI (Hugging Face).
β¨ Example: Building an AI chatbot with Hugging Face APIs.
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Python for Health Sciences and Healthcare
π Author: Wuraola Oyewusi
π° Level: Beginner
β° Duration: 2h 8m
π Topics: Healthcare Analytics, Python
π€ Join Learn Python for more courses
π Find out how you can use Python programming in the context of health care and health science.
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Theres so much to learn when it comes to Pythonβwhere should you start? This course, with integrated CoderPad challenges, offers a focused starting point that teaches foundational principles and skills of Python programming that are useful to healthcare and health science professionals. Experienced data scientist Wuraola Oyewusi guides you through bringing Python programming to your career. Get started with general programming concepts, including Python naming conventions and keywords and much more. Set up a Colaboratory notebook and learn how to use the Coderpad portion of this course. Explore basic Python data types, data structures, and operations. Go over functions, statements, build-in functions, and other operations in Python. Dive into code documentation and Python libraries. Plus, build your skills with a series of challenges and solutions.
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