Linguagens de programação
Tutoriais de Python, C, C++, Java, JavaScript, TypeScript, Go, R e Haskell — da sintaxe básica às técnicas avançadas.
Lesson 3: Version Control Git/GitHub
By the end of this lesson, you will be able to:
Ler artigo →Lesson 4: CI/CD Basics
By the end of this lesson, you will be able to:
Ler artigo →Lesson 5: Project Deployment
By the end of this lesson, you will be able to:
Ler artigo →Lesson 6: Capstone Project Personal Portfolio
By the end of this lesson, you will be able to:
Ler artigo →Lesson 7: Capstone Project Chat App
By the end of this lesson, you will be able to:
Ler artigo →Lesson 8: Capstone Project ECommerce Cart
By the end of this lesson, you will be able to:
Ler artigo →Lesson 9: Performance Optimization
By the end of this lesson, you will be able to:
Ler artigo →ObjectOriented Programming CCIT4023
1. Answer: A Array of String The main method signature is public static void mainString args.
Ler artigo →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
Ler artigo →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.
Ler artigo →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.
Ler artigo →Module 2 — Locks, Synchronization & LockFree Design 2 weeks
Real exchanges do not rely on naïve synchronized usage.
Ler artigo →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
Ler artigo →Module 4 — Asynchronous Programming & Reactive Thinking 2 weeks
Asyncfirst thinking is essential for Web3 and exchange systems.
Ler artigo →Module 5 — Concurrency Models Used in Exchanges 2 weeks
This module provides major interview differentiation.
Ler artigo →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
Ler artigo →Module 7 — Using Spark to Concurrently Process Big Data 2 weeks
Scale beyond a single JVM: distribute work across a cluster with Apache Spark.
Ler artigo →Library Management System Multifile Project Example
This project demonstrates a complete Java application with proper package structure and separation of concerns.
Ler artigo →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
Ler artigo →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
Ler artigo →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.
Ler artigo →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.
Ler artigo →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.
Ler artigo →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.
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