Harvard University offers a ton of FREE online courses.
From Computer Science to Artificial Intelligence.
Here are 10 FREE courses you don't want to miss

1. Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
Check here 👇
https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0


2. Web Programming with Python and JavaScript
This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Check here 👇
https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0

3. Introduction to Programming with Scratch

A gentle introduction to programming that prepares you for subsequent courses in coding.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0

4. Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Check here 👇
https://edx.org/course/cs50s-introduction-to-programming-with-python



5. Understanding Technology
This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons.
Check here 👇
https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0

6. Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0


7. Introduction to Game Development
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0

8. CS50's Computer Science for Business Professionals
This is CS50’s introduction to computer science for business professionals.
Check here 👇
https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0


9. Mobile App Development with React Native
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.
Check here 👇
https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0

10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Check here 👇
https://pll.harvard.edu/course/introduction-data-science-python?delta=0

✨ The answer is: 042

🤯Python interview questions can cover a broad range of topics depending on the specific role and company.

👀👉Here's a list of some common and important Python interview questions:

1. Basics of Python:
- What are the key features of Python?
- Explain the differences between Python 2.x and Python 3.x.
- How is memory managed in Python?

2. Data Types and Data Structures:
- Describe Python's basic data types.
- Explain lists, tuples, sets, and dictionaries in Python.
- What is the difference between shallow copy and deep copy?

3. Control Structures:
- Explain the difference between if-else and elif statements.
- How does a for loop differ from a while loop?
- What is the use of break and continue statements?

4. Functions and Modules:
- Define a function in Python. How do you pass arguments to a function?
- What are lambda functions and how are they used?
- Explain the use of import and how Python searches for modules.

5. Object-Oriented Programming (OOP):
- What is OOP, and how is it implemented in Python?
- Describe inheritance, encapsulation, and polymorphism.
- What is the purpose of self in Python classes?

6. Exception Handling:
- How do you handle exceptions in Python?
- Explain the use of try, except, finally blocks.

7. File Handling:
- How do you open and read/write a file in Python?
- What is the difference between read() and readline()?

8. Advanced Topics:
- What are decorators in Python?
- Explain generators and iterators.
- Describe the map, filter, and reduce functions.

9. Libraries and Frameworks:
- What are some popular Python libraries used for data analysis?
- Have you worked with any web frameworks in Python (like Django or Flask)?

10. Testing and Debugging:
- How do you perform unit testing in Python?
- What tools are available for debugging Python code?

These questions cover a wide array of Python concepts and are often used to gauge a candidate's familiarity and proficiency with the language.

It's important to not just memorize answers but understand the underlying principles and be able to apply them to real-world problems.