Computer Science

Computer Science and Programming

Data Structures and Algorithms

Basic Sorting and Searching

Sorting and Searching
Bubble Sort
Insertion Sort
Selection Sort
Shell Sort
Merge Sort
Quick Sort
Heap Sort
Sorting and Searching - C programs

Bubble Sort - C Program

Insertion Sort - C Program

Selection Sort - C Program

Shell Sort - C Program

Merge Sort - C Program

Quick Sort - C Program

Heap Sort - C Program

Binary Search - C Program

Self Referential Data Stuctures

Data Structures: Stacks ( with C Program source code)

Data Structures: Queues ( with C Program source code)

Data Structures: Singly Linked List (with C Program source code, tutorial and an MCQ quiz)

Data Structures: Doubly Linked List (with C Program source code, tutorial and MCQ Quiz)

Data Structures: Circular Linked List ( with C Program source code, tutorial and MCQ Quiz)

C Program ( Source Code and Explanation) for a Single Linked List

C Program (Source Code) for a Doubly Linked List

C Program (Source Code) for a Doubly Linked List

Binary Search Trees - C Program ( Source Code and Documentation )

Heap Data Structures -with C Program source code

Python for Data and Machine Learning

Python for Data: (1) Baby step with python for Data Science (word count)
Python for Data: (2) Simple Regression with Matrix
Python for Data: (3) Linear regression via Normal Equation
Python for Data: (4) Predicting Flight Price with Tensorflow
Python for Data: (5) Data Analysis with Pandas (Basic)
Python for Data: (6) Data pre-processing & Linear Regression with Gradient Descent
Python for Data: (7) Linear Classification with Stochastic Gradient Descent
Python for Data: (8) Ada-grad vs Bold-driver for linear classification
Python for Data: (9) Regularization & ridge regression with batch GD
Python for Data: (10) Logistic Regression
Python for Data: (11) Multi-Layer Perceptron (MLP) Classifier in Python
Python for Data: (12) Neural Networks in Python
Python for Data: (13) Naive Bayes Classifier using SkLearn
Python for Data: (14) Support Vector Machines (SVM) using SkLearn
Python for Data: (15) Hyper-Parameter Tuning and Cross-Validation
Python for Data: (16) Getting started with Tensorflow

R for Data

R for Data: Data transformation in R using dplyr
R for Data: Imputation Techniques In Data Science In R
R for Data: String Manipulation in R
R for Data: Text Preprocessing In R
R for Data: Using ggplot To Create Visualizations In R
R for Data: Case Study: Retail Analytics - A Data Science Story
R for Data: Case Study: Retail Analytics 2 - A Data Science Story
R for Data: Exploring and Visualization data - Loan Automation Example (1)
R for Data: Exploring and Visualization data - Loan Automation Example (2)

Commonly Asked Programming Interview Questions - from Microsoft/Google/Facebook/Amazon interviews

Programming Interview Questions with Solutions - Microsoft, Google, Facebook, Amazon

A Collection of C Programs

Miscellaneous C Programs
C Program to Reverse A String
C Program: Building an Expression Evaluator
C Program: Check for Armstrong Numbers
C Program: Check whether a string is a Palindrome or not
C Program: Common Operations on Sets - Union, Intersection, Difference, Cardinal Product
C Program: Computing exp(x), sin(x), cos(x), tan(x) using series expansions
C Program: Computing the Area of a Circle
C Program: Computing the Upper Triangular Matrix and Lower Triangular Matrix
C Program: Demonstrating File Handling Functions
C Program: Demonstrating Operations on Matrices - Addition, Subtraction, Multiplication, Inversion, Finding Determinants
C Program: Demonstrating the use of Bitwise Operators
C Program: Displaying a Histogram of word frequencies (unigram)
C Program: Distance Vector Routing Algorithm using Bellman Ford's Algorithm
C Program: Numerical Computing - The Gaussian Elimination Method
C Program: Numerical Computing - Implementing the Newton Raphson Method
C Program: Numerical Computing - the Bisection Method
C Program: Numerical Computing - The Gaussian Elimination Technique from Linear Algebra
C Program: Numerical Computing - the Jacobi Method
C Program: Printing the Pascal Triangle
C Program: Reversing the order of words in a sentence
C Program: Solving Simultaneous Equations in Two Variables
C Program: Source Code for computing the GCD(HFC) of two numbers
C Program: Source Code for Solving Quadratic Equations
C Program: Source code to solve the Josephus Problem
C Program: Sudoku Solver
C Program: The Usage of Command Line Arguments
C Program: Using the Sieve of Eratosthenes to print Prime Numbers

Functional Programming Principles and Techniques

Functional Programming - A General Overview Using the Functional Programming paradigm with a regular programming language like Ruby

Introduction to Python

1- Saying Hello World in Python. Basic Input and Output

2- A Dynamic Language; Variables and Types

3- Code Structure: No Braces

4- Built In Data Structures: Strings, Lists, Tuples, Dictionaries, Mutability

5- Basic Control Constructs; Conditions and True/False

6- Modules and Namespaces

7- Functions and Recursion; Multiple Function Arguments and Partial Functions

8- Object Oriented Programming: Classes, Objects, Inheritance, Decorators, Introspection

9- Operator Overloading

10- Syntax Enhancement

11- Arrays, Sorting and Searching

12- String Manipulation

13- Regular Expression Matching

14- The Numeric Module

15- Generators and List Comprehensions

16- Threads; Operating System Calls and Interfaces

17- File Handling, Exception Handling, Parsing XML, JSON and CSV

18- Compression, Encoding, Decoding and Serialization

19- Linear and Self referential data structures: Stacks, Queues, Linked Lists (Single, Double and Circular)

20- Trees, Graphs: Binary Search Trees(BST), Graph Searches

Introduction to Ruby Programming

Introduction to Ruby and some playing around with the Interactive Ruby Shell (irb)
Introduction to Ruby - Conditional statements and Modifiers: If-then, Unless, Case
Introduction to Ruby Comments - Single and Multi-Line comments
Introduction to Ruby Loops - Using While, Until, For, Break, Next , Redo, Retry
Introduction to Ruby - Arrays - Sorting, Filtering (Select), Transforming, Multi-Dimensional Arrays
Introduction to Ruby - Strings
Introduction to Ruby - Making a Script Executable
Introduction to Ruby - Regular Expressions, Match, Scan
Introduction to Ruby - Computing Factorials Recursively : An Example of Recursion
Introduction to Ruby - Binomial Coefficients (nCr) : An Example of Recursion
Introduction to Ruby - Computing a Power Set : An Example of Recursion
Introduction to Ruby - Towers of Hanoi : An Example of Recursion
Introduction to Ruby - Strings: Substitution, Encoding, Built-In Methods
Basic Data Structures in Ruby - Insertion Sort
Basic Data Structures in Ruby - Selection Sort
Basic Data Structures in Ruby - Merge Sort
Basic Data Structures in Ruby - Quick Sort
Basic Data Structures in Ruby - Stack
Basic Data Structures in Ruby - The Queue
Basic Data Structures in Ruby - Linked List - ( A Simple, Singly Linked List)
Functional Programming with Ruby

Databases - A Quick Introduction To SQL - Sample Queries demonstrating common commands

Introduction to SQL- A few sample queries - A Case Study - Coming up with a Schema for Tables -Taking a look at how the schema for a database table is defined, how different fields require to be defined. Starting with a simple "case study" on which the following SQL tutorials will be based.

Introduction to SQL- A few sample queries : Creating Tables (CREATE)

Creating tables, defining the type and size of the fields that go into it.

Introduction to SQL - A few sample queries : Making Select Queries
Elementary database queries - using the select statement, adding conditions and clauses to it to retrieve information stored in a database.

Introduction to SQL - A few sample queries : Insert, Delete, Update, Drop, Truncate, Alter Operation Example of SQL commands which are commonly used to modify database tables.

Introduction to SQL - A few sample queries: Important operators - Like, Distinct, Inequality, Union, Null, Join, Top
Other Important SQL operators.

Introduction to SQL- A few sample queries: Aggregate Functions - Sum, Max, Min, Avg - Aggregate functions to extract numerical features about the data.

Introduction To Networking

Client Server Program in Python

A basic introduction to networking and client server programming in Python. In this, you will see the code for an expression calculator . Clients can sent expressions to a server, the server will evaluate those expressions and send the output back to the client.

Introduction to Basic Digital Image Processing Filters

Introductory Digital Image Processing filters

Low-pass/Blurring filters, hi-pass filters and their behavior, edge detection filters in Matlab . You can take a look at how different filters transform images.
Matlab scripts for these filters.

Basics of Statistics, Data, Machine Learning

Stats, ML, Data: Computing the Mean, Median, Mode, Standard Deviation, Confidence Interval

Stats, ML, Data: Computing the Pearson Product-Moment Correlation Coefficient

Stats, ML, Data-Programs for Linear Regression with multiple variables

Stats, ML, Data: Time Series Forecasting (ARIMA, Fourier, Regression methods)

Stats, ML, Data - Program to compute bigrams, trigrams, n-Grams

Stats, ML, Data - Python/R Programs and code related to Poisson Distribution

Stats, ML, Data - Programs and code related to the Central Limit Theorem

Java Applet Visualizations of Common Algorithms and Data Structures

Visualizations for common topics in CS. Visual-ware for an introductory CS course.

Sorting and searching arrays.

Linear data structures : Lists, Stacks, Queues

Trees : Binary search trees, Heaps, Height balanced trees

Recursion

Dynamic Programming

Greedy Algorithms

Graph Algorithms

A Collection of C Programs

C Program to Reverse A String

C Program: Building an Expression Evaluator

C Program: Check for Armstrong Numbers

C Program: Check whether a string is a Palindrome or not

C Program: Common Operations on Sets - Union, Intersection, Difference, Cardinal Product

C Program: Computing exp(x), sin(x), cos(x), tan(x) using series expansions

C Program: Computing the Area of a Circle

C Program: Computing the Upper Triangular Matrix and Lower Triangular Matrix

C Program: Demonstrating File Handling Functions

C Program: Demonstrating Operations on Matrices - Addition, Subtraction, Multiplication, Inversion, Finding Determinants

C Program: Demonstrating the use of Bitwise Operators

C Program: Displaying a Histogram of word frequencies (unigram)

C Program: Distance Vector Routing Algorithm using Bellman Ford's Algorithm

C Program: Numerical Computing - The Gaussian Elimination Method

C Program: Numerical Computing - Implementing the Newton Raphson Method

C Program: Numerical Computing - the Bisection Method

C Program: Numerical Computing - The Gaussian Elimination Technique from Linear Algebra

C Program: Numerical Computing - the Jacobi Method

C Program: Printing the Pascal Triangle

C Program: Reversing the order of words in a sentence

C Program: Solving Simultaneous Equations in Two Variables

C Program: Source Code for computing the GCD(HFC) of two numbers

C Program: Source Code for Solving Quadratic Equations

C Program: Source code to solve the Josephus Problem

C Program: Sudoku Solver

C Program: The Usage of Command Line Arguments

C Program: Using the Sieve of Eratosthenes to print Prime Numbers

Functional Programming Principles and Techniques

Functional Programming - A General Overview Using the Functional Programming paradigm with a regular programming language like Ruby

Databases - A Quick Introduction To SQL - Sample Queries demonstrating common commands

Introduction to SQL- A few sample queries : Creating Tables (CREATE)

Creating tables, defining the type and size of the fields that go into it.

Introduction to SQL - A few sample queries : Insert, Delete, Update, Drop, Truncate, Alter Operation Example of SQL commands which are commonly used to modify database tables.

Introduction to SQL - A few sample queries: Important operators - Like, Distinct, Inequality, Union, Null, Join, Top
Other Important SQL operators.

Introduction to SQL- A few sample queries: Aggregate Functions - Sum, Max, Min, Avg - Aggregate functions to extract numerical features about the data.

Areas of Mathematics which are important for Computer Science students

Probability

Probability - Part Zero - A Very Basic Introduction Probability - Part 1 - Basic Probability Definitions, Random Variables Probability - Part 2 - A Tutorial on Probability Distributions Probability - Part 3 - Joint Probability, Bivariate Normal Distributions, Functions of Random Variable,Transformation of Random Vectors

Basic of Linear Algebra

Introduction to Matrices - Part I Introduction to Matrices. Theory, definitions. What a Matrix is, order of a matrix, equality of matrices, different kind of matrices: row matrix, column matrix, square matrix, diagonal, identity and triangular matrices. Definitions of Trace, Minor, Cofactors, Adjoint, Inverse, Transpose of a matrix. Addition, subtraction, scalar multiplication, multiplication of matrices. Defining special types of matrices like Symmetric, Skew Symmetric, Idempotent, Involuntary, Nil-potent, Singular, Non-Singular, Unitary matrices.

Introduction to Matrices - Part II Problems and solved examples based on the sub-topics mentioned above. Some of the problems in this part demonstrate finding the rank, inverse or characteristic equations of matrices. Representing real life problems in matrix form.

Determinants Introduction to determinants. Second and third order determinants, minors and co-factors. Properties of determinants and how it remains altered or unaltered based on simple transformations is matrices. Expanding the determinant. Solved problems related to determinants. Simultaneous linear equations in multiple variablesRepresenting a system of linear equations in multiple variables in matrix form. Using determinants to solve these systems of equations. Meaning of consistent, homogeneous and non-homogeneous systems of equations. Theorems relating to consistency of systems of equations. Application of Cramer rule. Solved problems demonstrating how to solve linear equations using matrix and determinant related methods.

Applied Mathematics : An Introduction to Game Theory

An Introduction to Game Theory

Extensive Games

Bayesian Games : Games with Incomplete Information

Repeated Games

Applied Mathematics : An Introduction to Operations Research

Introduction to Operations Research

A quick introduction to Operations Research. Introducing Linear Programming, standard and canonical forms. Linear Programming geometry, feasible regions, feasible solutions, simplex method. Some basic problems.

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