Breaking Away from the Empire - Avoiding the Evil Clutches of If-Then Statements
Learn to create a hyperspace navigation app using graphs in Python, replacing complex if-then statements for improved code readability and flexibility. Explore graph data structures and modeling techniques.
Advanced Pickling with Stackless Python and sPickle
Explore advanced pickling techniques using Stackless Python and sPickle, enhancing data serialization and deserialization for improved performance and functionality.
Python's Other Collection Types and Algorithms
Explore Python's lesser-known collection types and algorithms, enhancing your coding toolkit with advanced data structures and efficient problem-solving techniques.
Advanced Python
Explore advanced Python concepts including super(), programming techniques, random number generation, and Bloom filters for efficient data handling.
Python Objects Essentials - Part 3
Explore advanced Python object concepts, including inheritance, metaclasses, and design patterns, to enhance your programming skills and create more efficient, maintainable code.
Everything You Always Wanted to Know About Memory in Python But Were Afraid to Ask
Dive into Python's memory management, exploring object representation, advanced techniques, and profiling tools for optimized RAM usage and efficient coding practices.
What It's Really Like Building RESTful APIs with Django
Explore real-world experiences and lessons learned in building modern RESTful APIs with Django and Django REST framework, focusing on design decisions, best practices, and practical implementation tips.
Data Structures with Python
Aprenda estruturas de dados em Python com uma abordagem híbrida que reduziu a taxa de reprovação de 85% para 12%. Inclui recursão, listas encadeadas, filas, pilhas e algoritmos de ordenação.
Code Is Not Text - How Graph Technologies Can Help Us to Understand Our Code Better
Explore how treating code as graphs can revolutionize software development, improving understanding, quality, and automation in large projects.
Python Descriptors for Better Data Structures
Explore Python descriptors for creating better data structures, inspired by Django models. Learn to improve code readability, implement efficient validation, and enhance declarative programming techniques.
Wrestling Python into LLVM Intermediate Representation
Explore the process of translating Python into LLVM Intermediate Representation, enabling platform-independent execution and potential performance improvements for analytical frameworks.
Mary Had a Little Lambda
Explore lambda calculus: from simple Python functions to powerful abstractions. Learn to create booleans, integers, operators, and data structures using only lambda functions.
How to Write Multi-Paradigm Code
Explore efficient multi-paradigm Python coding by combining object-oriented and functional programming. Learn to structure code, handle data and state, and implement multiple solutions for optimal results.
15 Things You Should Know About Spacy
Discover 15 key insights about spaCy, an open-source NLP library for Python. Learn its strengths, limitations, and practical applications for processing and understanding large text corpora.
How to Sort Anything
Explore advanced sorting techniques in Python, from built-in functions to custom sorting methods. Learn to efficiently sort complex data structures and create sortable custom classes.
Fast Native Data Structures - C-C++ from Python
Explore efficient data processing using Cython to leverage native C/C++ data structures, optimizing performance for large-scale numerical and string operations in Python.
Writing a Python Web Framework in 2021
Explore modern Python web framework development, examining tools and libraries available in 2021 to create a framework suited for today's API and websocket-focused web landscape.
Writing Faster Python 3
Learn practical techniques for optimizing Python code performance, including efficient data structures, built-in functions, and alternatives to loops, with real-world examples and benchmarks.
Python Interoperability - Building a Python-First, Petabyte-Scale Database
Explore scaling Python for petabyte-scale data management, leveraging C++ interoperability and optimizing Python's internals to achieve high performance and reliability in financial trading.
Poisoned Pickles Make You Ill
Explore the risks of using pickle for ML model serialization and learn effective strategies to protect against potential attacks and vulnerabilities in data science pipelines.
Index Internals - RowStore, ColumnStore, and NoStore
Explore index internals in SQL Server, covering RowStore, ColumnStore, and NoStore structures. Learn when to use each type and understand their performance implications.