Python References

NumPy Basics

Essential NumPy operations for arrays, mathematical operations, and data manipulation.

Pandas Basics

Essential Pandas operations for DataFrames, data manipulation, and analysis.

Python Basics

Essential Python fundamentals including variables, strings, lists, dictionaries, conditionals, loops, and functions.

Python Comprehensions

List, dict, and set comprehensions for concise and efficient Python code.

Python Datetime

Working with dates and times in Python using the datetime module.

Python Dictionaries

Complete guide to Python dictionaries covering creation, access, modification, looping, and nesting.

Python Files & Exceptions

Working with files and handling exceptions in Python including reading, writing, and error handling.

Python Lambda & Functions

Lambda functions, map, filter, and functional programming in Python.

Python List & Dict Methods

Advanced list and dictionary methods for data manipulation in Python.

Python Lists

Comprehensive guide to Python lists including creation, access, modification, slicing, sorting, and list comprehensions.

Python Loops & Iteration

Complete guide to Python loops: for, while, break, continue, range, enumerate, and zip.

Python Modules & Packages

Creating and using modules, packages, import system, and virtual environments.

Python OOP Advanced

Advanced Object-Oriented Programming: inheritance, polymorphism, magic methods, and class decorators.

Python Requests HTTP

Making HTTP requests in Python with the Requests library for APIs and web scraping.

Python Sets & Tuples

Working with sets and tuples - immutable and unordered data structures in Python.

Python String Methods

Comprehensive guide to Python string manipulation methods and operations.

Python Testing with Pytest

Testing Python code with pytest including test functions, fixtures, and assertions.