Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
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Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science

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Essential Tools & Programming Languages for Software Developers

👉 Integrated Development Environments (IDEs):
- Visual Studio Code: A lightweight but powerful source code editor that supports various programming languages and extensions.
- IntelliJ IDEA: A popular IDE for Java development, also supporting other languages through plugins.
- Eclipse: Another widely used IDE for Java, with extensive plugin support for other languages.

👉 Version Control Systems:
- Git: A distributed version control system that allows developers to track changes in their codebase, collaborate with others, and manage project history. GitHub, GitLab, and Bitbucket are popular platforms that use Git.

👉 Programming Languages:
- JavaScript: Essential for web development, with frameworks like React, Angular, and Vue.js for front-end development and Node.js for server-side programming.
- Python: Known for its simplicity and versatility, used in web development (Django, Flask), data science (NumPy, Pandas), and automation.
- Java: Widely used for building enterprise-scale applications, Android app development, and backend systems.
- C#: A language developed by Microsoft, primarily used for building Windows applications and games using the Unity engine.
- C++: Known for its performance, used in system/software development, game development, and applications requiring real-time processing.
- Ruby: Known for its simplicity and productivity, often used in web development with the Ruby on Rails framework.

👉 Web Development Frameworks:
- React: A JavaScript library for building user interfaces, particularly single-page applications.
- Angular: A TypeScript-based framework for building dynamic web applications.
- Django: A high-level Python web framework that encourages rapid development and clean, pragmatic design.
- Spring: A comprehensive framework for Java that provides infrastructure support for developing Java applications.

👉 Database Management Systems:
- MySQL: An open-source relational database management system.
- PostgreSQL: An open-source object-relational database system with a strong emphasis on extensibility and standards compliance.
- MongoDB: A NoSQL database that uses a flexible, JSON-like format for storing data.

👉 Containerization and Orchestration:
- Docker: A platform that allows developers to package applications into containers, ensuring consistency across multiple environments.
- Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.

👉 Cloud Platforms:
- Amazon Web Services (AWS): A comprehensive cloud platform offering a wide range of services, including computing power, storage, and databases.
- Microsoft Azure: A cloud computing service created by Microsoft for building, testing, deploying, and managing applications.
- Google Cloud Platform (GCP): A suite of cloud computing services provided by Google.

👉 CI/CD Tools:
- Jenkins: An open-source automation server that helps automate the parts of software development related to building, testing, and deploying.
- Travis CI: A continuous integration service used to build and test software projects hosted on GitHub.

👉 Project Management and Collaboration:
- Jira: A tool developed by Atlassian for bug tracking, issue tracking, and project management.
- Trello: A visual tool for organizing tasks and projects into boards.

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Software Engineer: C++ C# Java, Python, JavaScript

Web Dev: HTML, CSS, JavaScript, NodeJS

Game Dev: Unity, Unreal, Java

App Dev: Flutter, Objective C, Java, Swift, Kotlin, React

Cyber Security: Python, Linux, Networking

AI & Data Science - Julia, Haskell
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Python Detailed Roadmap 🚀

📌 1. Basics
Data Types & Variables
Operators & Expressions
Control Flow (if, loops)

📌 2. Functions & Modules
Defining Functions
Lambda Functions
Importing & Creating Modules

📌 3. File Handling
Reading & Writing Files
Working with CSV & JSON

📌 4. Object-Oriented Programming (OOP)
Classes & Objects
Inheritance & Polymorphism
Encapsulation

📌 5. Exception Handling
Try-Except Blocks
Custom Exceptions

📌 6. Advanced Python Concepts
List & Dictionary Comprehensions
Generators & Iterators
Decorators

📌 7. Essential Libraries
NumPy (Arrays & Computations)
Pandas (Data Analysis)
Matplotlib & Seaborn (Visualization)

📌 8. Web Development & APIs
Web Scraping (BeautifulSoup, Scrapy)
API Integration (Requests)
Flask & Django (Backend Development)

📌 9. Automation & Scripting
Automating Tasks with Python
Working with Selenium & PyAutoGUI

📌 10. Data Science & Machine Learning
Data Cleaning & Preprocessing
Scikit-Learn (ML Algorithms)
TensorFlow & PyTorch (Deep Learning)

📌 11. Projects
Build Real-World Applications
Showcase on GitHub

📌 12. Apply for Jobs
Strengthen Resume & Portfolio
Prepare for Technical Interviews

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