3 Data Structures and Algorithms:
Understand the basics of data structures such as lists, dictionaries, tuples, and sets, as well as algorithms like sorting and searching.
4 Python Libraries :
Familiarize yourself with popular Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn for data manipulation, analysis, and visualization.
7 Automation and Scripting :
Learn how to automate repetitive tasks and write scripts to make your work easier and more efficient using libraries like Selenium and Beautiful Soup.
2 Object-Oriented Programming:
Encapsulation and abstraction
Inheritance and polymorphism
Interfaces and abstract classes
Composition and aggregation
Design patterns