Chapter 1

Python Basics and Programming Fundamentals

Python environment setup (Jupyter, Anaconda)

medium • 1 min read

Data types, Variables, and Operators

medium • 2 min read

Control flow structures (If-else, For/While loops)

medium • 3 min read

Functions, Lambda functions, and arguments

medium • 4 min read

Exception handling (try-except)

medium • 5 min read

Chapter 2

Data Structures in Python

Lists: Mutability, methods, and list comprehensions

medium • 1 min read

Tuples: Immutability and unpacking

medium • 2 min read

Dictionaries: Key-value operations and mapping

medium • 3 min read

Sets: Unique values and set operations

medium • 4 min read

String manipulation and regular expressions overview

medium • 5 min read

Chapter 3

Numerical Computing with NumPy

Creating NumPy Ndarrays

medium • 1 min read

Array indexing, slicing, and filtering

medium • 2 min read

Vectorized operations and broadcasting

medium • 3 min read

Statistical and mathematical functions in NumPy

medium • 4 min read

Reshaping and manipulating array dimensions

medium • 5 min read

Chapter 4

Data Manipulation with Pandas

Pandas Series and DataFrame structures

medium • 1 min read

Reading/Writing data (CSV, Excel, SQL)

medium • 2 min read

Handling missing data (dropna, fillna)

medium • 3 min read

Data transformation (groupby, merge, join, concatenate)

medium • 4 min read

Exploratory Data Analysis (EDA) functions using pandas

medium • 5 min read

Chapter 5

Data Visualization with Python

Matplotlib basics: Line plots, bar charts, scatter plots

medium • 1 min read

Customizing plots: Titles, labels, legends, subplots

medium • 2 min read

Seaborn statistical data visualization

medium • 3 min read

Heatmaps, Pair plots, and Distribution plots

medium • 4 min read

Interactive plotting with Plotly (Brief overview)

medium • 5 min read