drill.wal.sh

Python concepts including decorators, context managers, metaclasses, generators.

Python-specific implementations of data structures and algorithms.

Important modules and functions in the Python standard library.

Transducers, core.async, protocols, multimethods, macros, etc.

Core concepts of Clojure including data types, immutability, REPL usage.

Static typing, interfaces, union types, generics, and more.

Scheme programming language concepts based on R7RS standard.

Concepts in logic programming with emphasis on Prolog.

Common data types across programming languages.

Core machine learning concepts, algorithms, and techniques.

Neural networks, activation functions, backpropagation, CNN, RNN.

Implementation of machine learning in Python.

Text processing, tokenization, sentiment analysis, word embeddings.

GANs, diffusion models, text generation, bias in generative models.

Large Language Models and transformer architecture concepts.

Working with large language models in Python.

AWS AI certification concepts and practice questions.

AWS AI Fundamentals certification content.

Version control with Git: commands, concepts, workflows.

Core principles and concepts in software development.

Design principles, patterns, and best practices.

System-level architecture and design concepts.

Architectural styles, patterns, and decisions.

Concepts from the essential book on software construction.

Common algorithms, their properties, and implementations.

Core data structures: arrays, linked lists, trees, graphs, etc.

Web application security based on OWASP guidelines.

Testing and debugging principles and techniques in Python.

Python testing with the pytest framework.

Property-based testing with Python Hypothesis.

Dependency management with Poetry.

Emacs configuration and initialization.

Working with Org-mode in Emacs.

Formal specification language for designing, modeling, and verifying systems.

Web development with Python frameworks like Flask and Django.

Functional programming principles and practices.

Solutions to common coding interview problems.

Data structures designed for functional programming paradigms.

AWS Solutions Architect Associate certification content.

AWS security concepts and best practices.

Diagramming AWS architectures with Mermaid.

Common architecture patterns for AWS.

Reference architectures for various AWS use cases.

Creating AWS architecture diagrams programmatically.

Infrastructure as Code with Terraform.

Digital Operational Resilience Act compliance with AWS.

Google Cloud Associate Cloud Engineer certification content.

Docker, Kubernetes, and container technologies.

CPU, memory, instruction sets, pipelining, cache.

TCP/IP, routing, switching, protocols.

Blockchain technology and cryptocurrency concepts.

Advanced database concepts and technologies.

Concepts from the book on data system design.

Advanced Linux concepts and administration.

Computing applications in humanities research and pedagogy.