Beginning a career in data science or software engineering generally begins with learning Python, a flexible language that is highly regarded in both industries. However, navigating the abundance of materials accessible might be difficult.
1.Principles of Computation with Python
This course introduces Python and fundamental computing concepts such as iteration, recursion, and binary data representation. There is additional discussion of cellular automata, cryptography, and the limits of computing.
The primary purpose of this course is to convey the fundamental concepts of computer science to a public audience so that they understand how computer scientists apply these ideas to solve complicated issues in order to enhance their daily lives. The first four modules use conditionals and iteration to introduce and demonstrate them. The remaining modules are not utilised and can be included into classes that are not used. When used together, these resources demonstrate to students that there is much more to computer science than meets the eye.
2. Principles of Computation with Python – CMU
The ideas of Computation with Python course at Carnegie Mellon University introduces both Python and fundamental computing ideas. This course provides a well-rounded grasp of Python and key computer science ideas by exploring subjects such as iterative and recursive reasoning, binary data representation, cellular automata, encryption approaches, and computability restrictions.
3. Introduction to Computer Science and Programming with Python – MIT.
For people who don’t know the basics of computer science or programming, MIT offers Introduction to Computer Science and Programming with Python. Course topics include object-oriented programming, string manipulation, iteration, recursion, testing, debugging, and more. The course consists of twelve lectures. Even those without a background in computer science can use it because of its inclusive attitude.
4. CS50’s Introduction to Programming with Python – Harvard
For those with no programming background who want to learn the fundamentals of Python, CS50’s Introduction to Programming with Python is a great resource. This ten-week course covers a wide range of subjects, including functions, variables, loops, exceptions, object-oriented programming, and more, to give students the skills they need to write Python applications. This course is a great place to start since it offers easily accessible lectures, notes, and problem sets that improve the learning process.
5. CS106A: Programming Methodology – Stanford
CS106A: Programming Methodology is a comprehensive course offered at Stanford that is designed for novices who want to learn Python programming. The course covers variables, control flow, lists, file operations, object-oriented programming, and memory management through assignments and rich content. It’s an excellent option for people looking for a solid foundation in Python problem-solving abilities.
Conclusion
While these courses serve as foundations to Python expertise, diving into these resources and interacting with the information will equip you to navigate the complex landscapes of Python programming and its varied applications.
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Writer :
Lingkon Barua
Intern, Content Writing Department
YSSE