🔰 Python lambda functions

🔰 Python String Formatting

🔰 Python List Methods

🔅 Learning Python with PyCharm

🌐 Author: Mehdi Oulmakki
🔰 Level: Beginner

⏰ Duration: 2h 25m

🌀 Learn about concepts of software development and how you can leverage PyCharm as a one stop shop solution for managing the intricacies of development.

📗 Topics: Pycharm, Python

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📂 Full description

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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📱Learning Python with PyCharm

🔰 4 Unique Steps to Become a Python Expert in 2025

1️⃣ Understand Python Internals:

Learn how Python handles memory (GIL), garbage collection, and optimize code performance.

✨ Example: Debugging a slow script by identifying memory leaks.

2️⃣ Leverage Async Programming:

Master async/await to build scalable and faster applications.

✨ Example: Using async to handle thousands of API requests without crashing.

3️⃣ Create & Publish Python Packages:

Build reusable libraries, document them, and share on PyPI.

✨ Example: Publishing your own data-cleaning toolkit for others to use.

4️⃣ Master Python for Emerging Tech:

Dive into areas like quantum computing (Qiskit) or AI (Hugging Face).

✨ Example: Building an AI chatbot with Hugging Face APIs.

🔰 Important Built-in Functions in Python

🔅 Python for Health Sciences and Healthcare

🌐 Author: Wuraola Oyewusi
🔰 Level: Beginner

⏰ Duration: 2h 8m

🌀 Find out how you can use Python programming in the context of health care and health science.

📗 Topics: Healthcare Analytics, Python

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📂 Full description

Theres so much to learn when it comes to Python—where 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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📱Python for Health Sciences and Healthcare

🔰 Python Question / Quiz;
What is the output of the following Python code?

🔰 Printing colored output using Python

🔰 Important methods in python

🔅 Python Data Structures: Stacks, Deques, and Queues

🌐 Author: Dhhyey Desai
🔰 Level: Advanced

⏰ Duration: 35m

🌀 Learn about the top three linear data structures—stacks, queues, and deque—and build your own data structures in Python.

📗 Topics: Data Structures, Python

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📂 Full description

Stacks, deques, and queues are three essential Python data structures. They form the backbone of many computer science algorithms, and showing a mastery of these concepts can help you in your current job or help you land your next role. In this course, Dhhyey Desai shows you how to build stacks, queues, and deques, and use these linear data structures to solve real-world problems you might encounter in your work.
Learn how to define each class and use Python's built-in methods to accomplish the necessary behaviors, such as push, pop, and peek; enqueue and dequeue; and add_front and remove_rear. Join Dhhyey in this course to learn the benefits of each of these common data structures, and add skills to your coding toolkit.This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.

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📱Python Data Structures: Stacks, Deques, and Queues