https://r0tbyt3.dev/tags/python/Recent content in Python on Jesus OsegueraHugoen-usSat, 01 Nov 2025 00:00:00 +0000https://r0tbyt3.dev/projects/botnet/Sat, 01 Nov 2025 00:00:00 +0000https://r0tbyt3.dev/projects/botnet/Overview Developed an educational botnet server with synchronized multi-client handling, remote shell execution, bidirectional file transfer, and modular command handlers for defensive and offensive cybersecurity demonstrations. Technologies: Python, socket programming, TCP/IP, threading Features Multi-client handling with synchronized connections Remote shell execution capabilities Bidirectional file transfer functionality Modular command handler architecture Details More details coming soon…https://r0tbyt3.dev/projects/domain-name-system-enumeration-tool/Sun, 01 Jun 2025 00:00:00 +0000https://r0tbyt3.dev/projects/domain-name-system-enumeration-tool/Overview Engineered a multi-threaded DNS reconnaissance tool processing 500-1,000 subdomains/minute with ThreadPoolExecutor (50 workers), implementing DNS enumeration capabilities including DNSSEC validation, and automated security pattern matching with comprehensive error handling. Technologies: Python, threading, concurrent.futures, dnspython Features Multi-threaded DNS processing (500-1,000 subdomains/minute) ThreadPoolExecutor with 50 workers for parallel processing DNSSEC validation Automated security pattern matching Comprehensive error handling Details More details coming soon…https://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/advanced-functions/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/advanced-functions/Advanced functions Advanced Functions - higher-order functions, decorators, generators, and closures in Python. Higher-order Functions Higher-order functions - functions that can take other functions as arguments or return them as results. Examples: def apply_function(func, value): return func(value) def square(x): return x ** 2 result = apply_function(square, 5) # calls square(5) inside apply_function print(result) # Output: 25 Decorators Decorators - functions that modify the behavior of other functions or methods. Examples:https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/AI and LLMs AI and LLMs - integrating AI models and large language model capabilities into Python backend applications. Ai in development Embeddings Function calling RAGs Structured outputs Related Links: Language Fundamentals Software Engineeringhttps://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/ai-in-development/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/ai-in-development/Ai in development AI in Development - using AI tools and LLMs to enhance developer workflows and productivity. Related Links: Embeddings Function calling RAGs Structured outputshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/basic-data-types/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/basic-data-types/Basic data types Basic Data Types - fundamental Python data types and their usage in programs. Integers Integers - used for representing whole numbers without a fractional part. Examples: Floats Floats - used for representing decimal numbers. Examples: Strings Examples: Lists Examples: Dictionaries Examples: Tuples Examples: Sets Examples: Booleans Booleans - used for representing truth values (True/False aka 1/0) during conditional operations. Examples: x = True y = False Note: True/False can be substitued with values 1/0 respectively due to how Python handles boolean valueshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/basic-keywords/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/basic-keywords/Basic keywords Basic Keywords - reserved words in Python and their usage in programs. Related Links: Advanced functions Basic operators Basic data typeshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/basic-operators/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/basic-operators/Basic operators Basic Operators - arithmetic, comparison, logical, and assignment operators in Python. Arithemtic Operators Arithmeatic Operators - used for performing mathematical operations on numbers. Examples: 1 + 2 # Addition 3 - 4 # Subtraction 5 * 6 # Multiplication 7 / 8 # Division 9 % 2 # Modulus 10 ** 3 # Exponentiation 11 // 4 # Floor Division Operator Precedence Operator precedence - the order in which operations are evaluated in an expression.https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/code-reviews/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/code-reviews/Code reviews Code Reviews - process of systematically checking code quality, correctness, and maintainability. Related Links: Documentation generation Functional testing Git Integration testing Refactoring Unit testinghttps://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/documentation-generation/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/documentation-generation/Documentation generation Documentation Generation - tools and practices for automatically generating API and code documentation. Related Links: Code reviews Functional testing Git Integration testing Refactoring Unit testinghttps://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/embeddings/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/embeddings/Embeddings Embeddings - dense vector representations of data used for semantic search and AI tasks. Related Links: Ai in development Function calling RAGs Structured outputshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/function-calling/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/function-calling/Function calling Function Calling - LLM capability to invoke predefined functions based on natural language input. Related Links: Ai in development Embeddings RAGs Structured outputshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/functional-testing/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/functional-testing/Functional testing Functional Testing - verifying that software functions according to specified requirements. Related Links: Code reviews Documentation generation Git Integration testing Refactoring Unit testinghttps://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/git/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/git/Git Git - distributed version control system for tracking code changes and collaborating on projects. Related Links: Code reviews Documentation generation Functional testing Integration testing Refactoring Unit testinghttps://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/integration-testing/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/integration-testing/Integration testing Integration Testing - testing interactions between components to ensure they work together correctly. Related Links: Code reviews Documentation generation Functional testing Git Refactoring Unit testinghttps://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/language-fundamentals/Language Fundamentals Language Fundamentals - core Python syntax, operators, data types, and functional programming constructs. Advanced functions Basic keywords Basic operators Basic data types Related Links: AI and LLMs Software Engineeringhttps://r0tbyt3.dev/wiki/content/backend-engineering/python/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/Python Python - Python language features, tooling, testing, and AI capabilities relevant to backend development. AI and LLMs Language Fundamentals Software Engineering Related Links: Backend Engineering Concurrency Databases Django DSA Security System Design Webhttps://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/rags/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/rags/RAGs RAGs - Retrieval-Augmented Generation combining knowledge retrieval with language model generation. Related Links: Ai in development Embeddings Function calling Structured outputshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/refactoring/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/refactoring/Refactoring Refactoring - process of restructuring existing code to improve readability without changing behavior. Related Links: Code reviews Documentation generation Functional testing Git Integration testing Unit testinghttps://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/Software Engineering Software Engineering - practices for writing maintainable, testable, and well-documented Python code. Code reviews Documentation generation Functional testing Git Integration testing Refactoring Unit testing Related Links: AI and LLMs Language Fundamentalshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/structured-outputs/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/structured-outputs/Structured outputs Structured Outputs - LLM technique for generating output in specific schemas like JSON. Related Links: Ai in development Embeddings Function calling RAGshttps://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/unit-testing/Mon, 01 Jan 0001 00:00:00 +0000https://r0tbyt3.dev/wiki/content/backend-engineering/python/software-engineering/unit-testing/Unit testing Unit Testing - testing individual units of code in isolation to verify their correctness. Related Links: Code reviews Documentation generation Functional testing Git Integration testing Refactoring