C and C++ Programming Resources

Why Learn C as first programming language?

Why Learn C as first programming language?

There are hundreds of programming languages used in the professional industry and university/college academics. One needs to be familiar and able to program with at least few programming languages to be successful.

C++ Tutorial for Java Programmers

C++ Tutorial for Java Programmers

This tutorial is designed to give a working knowledge of C++ (and indirectly parts of C) as quickly as possible for people with Java programming experience and familiarity with basic programming language concepts. By working through the exercises, core C++ concepts can be learned and practiced.

Free Programming Abstractions Course – SEE

Free Programming Abstractions Course – SEE

Stanford Engineering Everywhere (SEE) offers few computer science courses to students online and at no charge. Programming Abstractions course covers advanced programming topics such as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java.

C Implementation of Base64 Encoding and Decoding

C Implementation of Base64 Encoding and Decoding

Base64 encoding and decoding schemes are commonly used to encode binary data. Normally this is required when textual data needs to be transferred over the network or similar media and make sure that data is transferred without any modification. Base64 is commonly used in a number of applications, including email via MIME, and storing complex data in XML. This is a very simple implementation of base64 encoding and decoding in C programming language. There are number of C libraries available for encoding and decoding as well i.e. libb64, OpenSSL Base64, Apple’s Implementations, arduino-base64 etc.

Kruskal’s Algorithm

Kruskal’s Algorithm

This is the implementation of Kruskal’s Algorithm in C and C++ Programming Languages. This algorithm is directly based on the generic MST (Minimum Spanning Tree) algorithm. Kruskal’s algorithm is a greedy algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. It finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized.