Python Foundation for Bioinformatics

In this course, you will embark on a step-by-step journey through Python fundamentals. We start with the basics of Python setup and syntax, then explore essential programming concepts like variables, data types, operators, and control structures. As you progress, you’ll dive into core data structures (lists, tuples, sets, dictionaries), loops, functions, and even topics like string formatting, error handling with try-except, and working with dates and arrays.

The course modules include:

• Python Intro & Setup
• Python Syntax, Comments, Variables
• Data Types, Casting, Numbers, and Strings
• Operators, If-Else, and Match Statements
• Lists, Tuples, Sets, and Dictionaries
• While Loops and For Loops
• Functions and Lambda Functions
• Arrays and Working with Dates
• Try-Except for Error Handling
• String Formatting Techniques

 

• Set up a Python development environment and write your first Python script (“Python Intro & Get Started”).
• Apply correct Python syntax, comments, and variable usage (“Python Syntax,” “Python Comments,” “Python Variables”).
• Work with various data types, perform casting, and manipulate numbers and strings (“Python Data Types,” “Python Casting,” “Python Numbers,” “Python Strings”).
• Implement logical operations and control flow with booleans, if-else conditions, and match statements (“Python Booleans,” “Python If…Else,” “Python Match”).
• Create and manage data structures including lists, tuples, sets, and dictionaries (“Python Lists,” “Python Tuples,” “Python Sets,” “Python Dictionaries”).
• Develop looping structures for iteration (“Python While Loops,” “Python For Loops”).
• Build and apply functions, including anonymous functions with lambda (“Python Functions,” “Python Lambda”).
• Work with arrays and date objects (“Python Arrays,” “Python Dates”).
• Handle exceptions using try-except blocks (“Python Try…Except”).
• Format strings effectively for better output control (“Python String Formatting”).

 

Hi, I’m Omar Mohamed, a Python developer and AI enthusiast with hands-on experience in machine learning, computer vision, and large language models. I’ve applied Python in real-world projects ranging from OCR systems to chatbot development, and I’m passionate about making complex concepts easy to learn. I’m excited to guide you through your Python learning journey and help you build a solid foundation in programming. I hold a Bachelor’s degree in Computer Science from MSA and I’m currently pursuing my Master’s in AI at the Technical University of Würzburg.

 

Throughout the course, you’ll test your knowledge with embedded quizzes, coding exercises, and small practice tasks after each major module. These hands-on activities will reinforce your learning and ensure you can apply concepts in real-world scenarios.

 

Engage directly with instructors and fellow learners. Ask questions anytime using the built-in website chat system; instructors will respond promptly. You’ll also be invited to a dedicated Telegram group for seamless communication, peer support, and direct access to instructors. Additionally, live Q&A sessions may be scheduled (e.g., monthly) to address common questions and foster community interaction.