Python Programming Tutorial: Data Structures, Algorithms, and Libraries
Python Programming Tutorial
Data Structures and Algorithms
Linear Search
This code implements a linear search algorithm to find an element in an array.
Binary Search (Using bisect Module)
This code demonstrates the use of the ‘bisect’ module for efficient insertion into a sorted list.
Object-Oriented Programming
Inheritance
This code showcases inheritance in Python, where a ‘Derived’ class inherits properties and methods from a ‘Base’ class.
Data Analysis with Pandas
Data Cleaning and Preprocessing
This code demonstrates data cleaning techniques using Pandas, including handling missing values and exploring descriptive statistics.
Data Indexing and Selection
This code explores various methods for indexing and selecting data in Pandas DataFrames, including using date-time indexes and resampling.
Data Visualization with Matplotlib and Seaborn
Line Plots, Bar Plots, Scatter Plots, Histograms, and Pie Charts
This code provides examples of creating different types of visualizations using Matplotlib, including customizing labels, colors, and legends.
Regression Plots, Distribution Plots, Count Plots, and Box Plots
This code demonstrates the use of Seaborn for creating informative statistical visualizations, including regression plots, distribution plots, count plots, and box plots.
Machine Learning with Scikit-learn
Linear Regression
This code implements a simple linear regression model using Scikit-learn and visualizes the results.
Logistic Regression
This code demonstrates the use of logistic regression for classification tasks and visualizes the model’s predictions.