Programming Languages
Tutorials on Python, C, C++, Java, JavaScript, TypeScript, Go, R and Haskell — from beginner syntax to advanced techniques.
Lesson 3: Version Control Git/GitHub
By the end of this lesson, you will be able to:
Read article →Lesson 4: CI/CD Basics
By the end of this lesson, you will be able to:
Read article →Lesson 5: Project Deployment
By the end of this lesson, you will be able to:
Read article →Lesson 6: Capstone Project Personal Portfolio
By the end of this lesson, you will be able to:
Read article →Lesson 7: Capstone Project Chat App
By the end of this lesson, you will be able to:
Read article →Lesson 8: Capstone Project ECommerce Cart
By the end of this lesson, you will be able to:
Read article →Lesson 9: Performance Optimization
By the end of this lesson, you will be able to:
Read article →ObjectOriented Programming CCIT4023
1. Answer: A Array of String The main method signature is public static void mainString args.
Read article →Comprehensive Java Training Materials
Welcome to a comprehensive Java training program designed for students learning Java from beginner to advanced levels. This curriculum covers everything from basic syntax to advanced topics, data structures, and multifil
Read article →Java Concurrency for Exchange Systems — Course Index
A 7module, ~14–16 week course on threads, JVM memory model, locks, concurrency utilities, async/reactive patterns, exchangestyle system design, and concurrent big data with Spark.
Read article →Module 1 — Threads, JVM Memory Model & Visibility 2 weeks
Most engineers know how to use threads, but not how they actually work under the hood.
Read article →Module 2 — Locks, Synchronization & LockFree Design 2 weeks
Real exchanges do not rely on naïve synchronized usage.
Read article →Module 3 — Java Concurrency Utilities in Depth 2 weeks
Decoupling: Submit tasks without managing threads directly no new Thread....start everywhere. Reuse: Thread pools reuse a fixed set of threads; avoid the cost of creating/destroying threads per task. Backpressure and lif
Read article →Module 4 — Asynchronous Programming & Reactive Thinking 2 weeks
Asyncfirst thinking is essential for Web3 and exchange systems.
Read article →Module 5 — Concurrency Models Used in Exchanges 2 weeks
This module provides major interview differentiation.
Read article →Module 6 — RealWorld Exchange System Design 2–3 weeks
States: Created → Validated → Accepted → PartiallyFilled → Filled / Cancelled / Rejected. Transitions: Strict state machine; idempotent by client order ID where applicable. Persistence: Persist at accept and at every fil
Read article →Module 7 — Using Spark to Concurrently Process Big Data 2 weeks
Scale beyond a single JVM: distribute work across a cluster with Apache Spark.
Read article →Library Management System Multifile Project Example
This project demonstrates a complete Java application with proper package structure and separation of concerns.
Read article →ABC Project MultiFile Java Project Example
This project demonstrates a simple multifile Java application where: A.java is the main class that uses classes from B.java and C.java B.java provides utility functions mathematical operations C.java provides data proces
Read article →1. Getting Started with Python
Python is a highlevel, interpreted programming language known for its simplicity and readability. Created by Guido van Rossum and first released in 1991, Python has become one of the most popular programming languages wo
Read article →2. Core Syntax Variables, Data Types, and Operators
Variables are containers for storing data values. In Python, you don't need to declare variables with a specific type Python automatically determines the type based on the value assigned.
Read article →3. Control Flow Making Decisions and Repeating Actions
Control flow determines the order in which statements are executed in a program. Python provides several control flow structures to make decisions and repeat actions.
Read article →4. Data Structures Organizing and Storing Data
Data structures are ways of organizing and storing data in a computer so that it can be accessed and modified efficiently. Python provides several builtin data structures that are essential for programming.
Read article →5. Functions Reusable Code Blocks
Functions are reusable blocks of code that perform specific tasks. They help organize code, avoid repetition, and make programs more modular and maintainable.
Read article →