Python Programming Study Materials

Python is a high-level, interpreted, dynamically typed language known for its clean, readable syntax that uses indentation to define code blocks.

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

Functions in Python are first-class objects defined with `def`, supporting default arguments, *args, **kwargs, lambda expressions, and decorators.

Python OOP allows defining classes as blueprints for objects with attributes and methods, supporting inheritance, encapsulation, and polymorphism.

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.