Python Free Courses, Projects & Books

𝐋𝐢𝐬𝐭𝐬: - Lists are ordered collections of items. - They are mutable, meaning you can change their content after creation. - You can have duplicate values in a list. - Lists are defined using square brackets [ ]. Example: my_list = [1, 2, 3, 'apple', 'banana', 'cherry'] 𝐓𝐮𝐩𝐥𝐞𝐬: - Tuples are ordered collections of items, similar to lists. - However, they are immutable, meaning once created, their content cannot be changed. - Tuples are defined using parentheses ( ). - You can have duplicate values in a tuple. Example: my_tuple = (1, 2, 3, 'apple', 'banana', 'cherry') 𝐃𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐢𝐞𝐬: - Dictionaries are unordered collections of items that are stored as key-value pairs. - They are mutable. - Dictionaries are defined using curly braces { }. - Each key in a dictionary must be unique, but the values can be duplicated. Example: my_dict = {'name': 'John', 'age': 30, 'city': 'New York'} I have curated the best interview resources to crack Python Interviews 👇👇 https://topmate.io/analyst/907371 Hope you'll like it Like this post if you need more resources like this 👍❤️

𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 : 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐥𝐢𝐬𝐭𝐬, 𝐭𝐮𝐩𝐥𝐞𝐬, 𝐚𝐧𝐝 𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐢𝐞𝐬

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🤯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. Please react 👍 if you want me to share the relevant answers..