My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
- Updated
Nov 21, 2019 - Python
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
A curated collection of tutorials, projects, and resources for learning web development, covering HTML, CSS, JavaScript, and modern frameworks like React. Includes practical exercises and code examples to build hands-on skills for beginners and intermediate developers.
A comprehensive collection of Python implementations for data structures and algorithms, featuring detailed explanations and coding examples. Covers arrays, linked lists, trees, sorting, and searching techniques for learning and interview preparation.
A targeted resource for mastering FastAPI, featuring practice problems, code examples, and interview-focused concepts for building high-performance APIs in Python. Covers asynchronous programming, endpoint creation, and data validation for technical interview success.
A comprehensive resource for mastering TensorFlow, featuring practice problems, code examples, and interview-focused deep learning concepts in Python. Covers model building, training, and optimization techniques for excelling in technical interviews.
A targeted resource for mastering PyTorch, featuring practice problems, code examples, and interview-focused deep learning concepts in Python. Covers neural network implementation, model training, and optimization techniques for technical interview success.
A targeted resource for mastering Pandas, featuring practice problems, code examples, and interview-focused data manipulation techniques in Python. Covers data cleaning, aggregation, and analysis to excel in data science and analytics interviews.
📚 ✏️ Python, Learning, Sharing, Contributing 💻 🐍
A targeted resource for mastering Scikit-Learn, featuring practice problems, code examples, and interview-focused machine learning concepts in Python. Covers model building, evaluation, and preprocessing techniques to excel in data science interviews.
A curated resource for mastering Transformers and Hugging Face libraries, featuring practice problems, code examples, and interview-focused NLP concepts. Covers model fine-tuning, tokenization, and deployment with Python for technical interview success.
A focused resource for mastering Matplotlib, featuring practice problems, code examples, and interview-oriented data visualization techniques in Python. Covers plotting, customization, and advanced visualization for excelling in data science interviews.
A focused resource for mastering NumPy, featuring practice problems, code examples, and interview-oriented numerical computing techniques in Python. Covers array operations, linear algebra, and performance optimization for data science interviews.
A targeted resource for mastering LangChain, featuring practice problems, code examples, and interview-focused concepts for building AI applications with Python. Covers chaining LLMs, memory management, and tool integration for technical interview success.
A targeted resource for mastering Hugging Face libraries in Python, featuring practice problems, code examples, and interview-focused NLP concepts. Covers model fine-tuning, tokenization, and deployment for excelling in AI and data science interviews.
A focused resource for mastering Keras, featuring practice problems, code examples, and interview-oriented deep learning concepts in Python. Covers neural network design, model training, and optimization techniques for technical interview success.
A focused resource for mastering Seaborn, featuring practice problems, code examples, and interview-oriented data visualization techniques in Python. Covers creating advanced statistical plots and customizing visualizations for data science interviews.
Codes that are more Logical then You think, and complete in just 1 or 2 Lines of Code.
🐍 My personal Python solutions from the Programming Basics @ SoftUni (Oct–Nov 2023). Just code – no problem descriptions here!
My implementation of useful data structures, algorithms
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