This repository is a comprehensive collection of programming language resources and problem-solving techniques, covering multiple languages and focusing on data structures, algorithms, and system design. Created to support both beginners and experienced developers, each directory provides structured resources, examples, and exercises to enhance coding skills in specific programming languages.
The repository is organized by programming language, with subfolders focusing on language-specific features, data structures, algorithms, and system design concepts. Below is an outline of the current folders and their contents:
- Objective: Develop a solid understanding of essential data structures and algorithms.
- Content: Includes code examples and exercises for data structures (e.g., linked lists, stacks, queues) and algorithms (e.g., sorting, searching, recursion).
- Technologies Used: Generic implementations in multiple languages like C++, Java, and Python for cross-language understanding.
- Applications: Prepares for coding interviews and competitive programming.
- Objective: Explore Java with a focus on data structures and system design patterns.
- Content: Covers foundational topics in Java programming, followed by DSA concepts and system design principles.
- Features:
- Array manipulation, linked lists, trees, and graphs
- Introduction to Java design patterns and system architecture concepts
- Ideal For: Beginners learning Java and intermediate developers focusing on system design for scalability and efficiency.
- Objective: Understand core Java concepts, syntax, and object-oriented programming.
- Content: Includes Java basics, object-oriented programming principles, exception handling, and file management.
- Learning Path: Progresses from foundational topics to more advanced Java concepts to build a well-rounded skill set in Java.
- Objective: Gain practical knowledge in Python, with applications in both general programming and data analysis.
- Content: Features exercises in Python basics, data manipulation, and real-world problem-solving.
- Projects and Exercises: Includes coding tasks that reinforce Python syntax, data types, control structures, and common libraries.
- Ideal For: All levels, with exercises catering to beginners through intermediate Python developers.
- Objective: Develop proficiency in C++ and understand memory management, pointers, and object-oriented programming.
- Content: Covers foundational topics, advanced data structures, and algorithm implementation.
- Key Concepts:
- Memory management and pointers
- Classes, inheritance, and polymorphism
- Applications: C++ is valuable for systems programming, game development, and situations requiring high performance.
To begin using this repository:
-
Clone the repository to your local machine:
git clone https://github.com/anjha1/Programming-Languages.git
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Navigate to the language-specific directory to start exploring the examples and exercises:
cd Programming-Languages/<language-directory>
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Each language directory contains code files, with exercises and examples. Refer to the specific language's
README
(if available) for guidance on setup and usage.
We welcome contributions to improve and expand this repository. Here's how to contribute:
-
Fork the repository and create a new branch for your feature or fixes:
git checkout -b feature/YourFeatureName
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Make your changes by adding new code files, improving documentation, or providing optimized solutions for existing problems.
-
Commit your changes with a clear and descriptive message:
git commit -m "Add feature: YourFeatureName"
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Push to your branch and create a pull request for review.
This project is licensed under the MIT License, allowing free use, distribution, and contribution with attribution. For more details, see the LICENSE file.
For any questions, suggestions, or feedback, please contact the repository owner.
This repository is a continuously growing resource, ideal for those eager to expand their programming knowledge and improve problem-solving skills. Happy coding!