Python for Beginners: Solve 50 Exercises Live
Learn core programming from beginner to advanced. Build skills with fun projects like Gmail/Facebook automation. Become a master programmer!
Course Content
Python for Beginners: Solve 50 Exercises Live is a beginner-level Udemy course taught by Tanmay Garg. It runs 18h 46m, is taught in English, and includes a certificate of completion. Learners rate it 4.0 out of 5 from 91 reviews, with 3,009 students enrolled. It is a paid course, first published October 2015.
Looking to learn Python from scratch? This beginner Python course is perfect for anyone, even if you have no prior coding experience! If you just know how to use a computer and are eager to dive into programming, this is the ideal starting point.
You'll quickly discover the short and beautiful syntax of Python and find yourself hooked! But don't let its simplicity fool you – we'll tackle some seriously challenging problems and solve them with just a few lines of code.
What sets this course apart is its practical, hands-on approach. We don't just focus on syntax; we actively work with you to solve a diverse collection of problem sets – covering approximately 50 problems in total. Many students struggle with problem-solving skills, often knowing syntax but lacking the ability to apply it. This course bridges that gap by working through every exercise, providing multiple approaches to similar problems. Get ready to become a hardcore Python programmer!
We'll cover everything from the Python basics like printing and looping, to more advanced topics such as:
- Lists: Mastering fundamental data structures.
- Strings: Working with text effectively.
- Dictionaries: Utilizing key-value pairs for efficient data storage.
- Sets: Understanding unique element collections.
- Tuples: Creating immutable sequences.
- Regular Expressions: Powerful pattern matching.
- List Comprehensions: Concise and efficient list creation.
- Higher-Order Functions: Advanced programming techniques.
- Input/Output Operations: Interacting with the user and files.
- Algorithmic Complexity: Analyzing the efficiency of your code.
- Recursion: Solving problems by breaking them down into smaller, self-similar subproblems.
- Collections: Utilizing powerful data structures from the
collectionsmodule. - OOPs (Object-Oriented Programming): Designing modular and reusable code.
- Competitive Programming: Preparing for coding challenges.
We recommend attempting each problem independently before reviewing our solutions. Feel free to pause, rewind, and replay the videos as needed. But remember, a little fun is important too! To keep things interesting, we'll conclude with some cool and engaging projects, including building a GMAIL bomb, a FACEBOOK bomb, and a YOUTUBE downloader (for educational purposes only!).
All instructions taught in this course are for educational purposes only. We do not endorse or encourage any malicious use of the techniques demonstrated.
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