Pipeline — Databases
A progressive journey through SQL and MongoDB — from basic table creation and CRUD operations to multi-table joins, aggregations, constraints, triggers, and NoSQL document operations with Python/PyMon…
SQLMongoDBDatabasesCRUD+2
Learning notes from DLH projects — machine learning, Python programming, and AI
A progressive journey through SQL and MongoDB — from basic table creation and CRUD operations to multi-table joins, aggregations, constraints, triggers, and NoSQL document operations with Python/PyMon…
Advanced matrix concepts beyond basic operations — determinants, minors, cofactors, adjugates, inverses, eigenvalues, eigenvectors, and matrix definiteness classification.
Foundational mathematics for machine learning — linear algebra operations progressing from manual Python implementations to vectorized NumPy.
A progressive journey from manual matrix operations using Python lists to vectorized NumPy computations — building intuition for the linear algebra foundations of machine learning.
Data engineering and database operations — SQL from table creation through complex joins, aggregations, constraints, and triggers.
A structured curriculum building the mathematical and data engineering foundations for machine learning.
A progressive study of Python's core sequence types: list iteration, indexing, mutation, copying, tuple operations, and matrix traversal.
A progressive study of advanced OOP concepts: dunder methods, class variables, static methods, class methods, and the object lifecycle.
A progressive study of sets, dictionaries, `map()`/`lambda`, sorting with keys, and advanced data manipulation in Python.
A progressive study of control flow, iteration, the ASCII character set, and function definitions in Python.
A progressive study of Python's import system, command-line arguments, module introspection, and the `if __name__ == "__main__"` pattern.
A progressive study of Object-Oriented Programming in Python: class definition, encapsulation, properties, data validation, and data structures built from classes.
A progressive study of error handling in Python: `try`/`except`/`finally`, raising exceptions, writing to stderr, and building resilient functions.
A progressive introduction to printing, string manipulation, formatting, and module imports in Python.
def load_and_deserialize(filename):
A progressive study of file I/O, JSON serialization/deserialization, and object introspection in Python.
A smart music recommendation system powered by multiple embedding models.