Python Programming Study Materials

Variables, data types, operators, input/output, indentation, and Python code structure.

if-else, for, while loops, break, continue, pass, and list comprehensions.

Defining functions, arguments, *args/**kwargs, lambda, map, filter, and decorators.

Classes, objects, inheritance, polymorphism, dunder methods, and properties.

Reading, writing, appending files, with statement, CSV, and JSON handling.

Importing modules, creating packages, pip, virtual environments, and popular libraries.

Array creation, indexing, slicing, broadcasting, mathematical operations, and linear algebra.

DataFrames, Series, data loading, cleaning, groupby, merge, pivot, and analysis.

Line plots, bar charts, histograms, scatter plots, heatmaps, and customization.

requests, BeautifulSoup, Selenium, handling JSON APIs, and scraping best practices.

Routes, templates, forms, RESTful APIs, SQLite integration, and deployment.

Common Python interview questions, coding challenges, algorithms, and best practices.