Master Python skills essential for AI, ML, and LLM development
Advanced Data Types
Lists, tuples, sets, dictionaries, custom collections
Functional Programming
Decorators, generators, iterators, lambda functions
Object-Oriented Programming
Classes, inheritance, polymorphism, magic methods
Asynchronous Programming
Async/await, coroutines, event loops
NumPy Mastery
Arrays, broadcasting, vectorization, linear algebra
Data Manipulation
DataFrame operations, data cleaning, transformation
Data Visualization
Static and interactive plotting
Numerical Computing
Mathematical optimization, statistical computing
Scikit-learn Ecosystem
ML algorithms, preprocessing, model selection
Deep Learning Frameworks
Neural networks, GPU acceleration
NLP Libraries
Text processing, tokenization, embeddings
Computer Vision
Image processing and analysis
Big Data Processing
Parallel computing, data streaming
Database Integration
SQL, NoSQL, vector databases
Data Pipeline Tools
ETL processes, workflow management
Data Serialization
File formats, compression, streaming
Experiment Management
Tracking, versioning, parameter management
Model Deployment
API development, model serving
Testing & Monitoring
Unit testing, integration testing, monitoring
Containerization
Container management, orchestration
Track your progress through essential Python skills for AI development
Focus on mastering the libraries and tools most relevant to your projects