What is Low Latency C++? - Part 2
Explore advanced C++ techniques for low-latency systems, covering CPU caching, data structures, concurrency, and memory management to optimize performance in finance, audio, and gaming.
Implementing Fast Calendar Algorithms - Speeding Date
Optimizing calendar algorithms for modern CPUs: strength reduction, data dependency breaking, and historical insights. Faster implementations for leap year checks and last day of month calculations.
The Joy of Creating Art with Code
Explore the fusion of art and code through generative algorithms, creating autonomous aesthetic forms using Processing and PyCairo. Learn about randomness, shapes, and advanced techniques like fractals and genetic algorithms.
Writing Performant Code for Modern Python Interpreters
Explore modern Python optimization techniques, learn new performance guidelines, and discover how to leverage language improvements for faster code execution.
Programming Your Way up a Skyscraper - Python in the Built World
Explore how architects use Python to enhance building design, from geometry editing to algorithmic design, data sorting, and software integration, unlocking new possibilities in architecture.
When to Refactor Your Code into Generators and How
Explore refactoring loop constructs into generator functions for more maintainable and Pythonic code, using Fibonacci sequence variations as an example.
D&D and G - A Daring Tale of Dungeons and Dragons and Also Graph
Explore graph algorithms through a D&D adventure! Learn to convert mazes and networks into graphs, and discover practical applications for 8 key algorithms in this intuitive, story-driven presentation.
Leveraging a Custom CPython Data Model for High Performance
Explore high-performance microprocessor design using a custom CPython data model for efficient data analysis, visualization, and problem-solving in integrated circuit development.
Algorithmic Ideas, Engineering Tricks, and Trivia Behind CPython's New Sorting Algorithm
Explore the evolution of CPython's sorting algorithm, from Quicksort to Timsort and beyond. Discover algorithmic insights, engineering tricks, and historical anecdotes behind Python's fast list sorting.
Fun with Python's Newer Tools
Explore Python's latest tools, including Counter, namedtuple, and defaultdict. Learn advanced techniques for API design, dynamic programming, and efficient data handling.
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.
Fun with Python's Newer Tools
Explore Python's advanced tools: Counter, namedtuples, caching, and string formatting. Enhance coding efficiency and learn practical tips from an expert.
Solving Google Code Jam Problems with PyPy Part 1
Explore strategies for tackling Google Code Jam challenges using PyPy, enhancing problem-solving skills and optimizing Python code performance.
Solving Google Code Jam Problems with PyPy Part 2
Explore advanced PyPy techniques for tackling Google Code Jam challenges, building on previous concepts to enhance problem-solving skills and optimize Python code performance.
Functional Programming in Python and Even Haskell - Part 2
Explore advanced functional programming concepts and techniques in Python and Haskell, building on foundational knowledge to enhance coding skills and problem-solving abilities.
Google Jam Quiz Solutions
Explore solutions to Google Jam Quiz challenges, demonstrating problem-solving techniques and Python coding strategies for competitive programming.
Traversing Mazes the Pythonic Way and Other Algorithmic Adventures
Explore graph algorithms through a Pythonic lens, focusing on maze traversal, efficient representations, and problem-solving techniques like backtracking and dynamic programming.
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.
Recursion, Fractals, and the Python Turtle Module
Explore recursion through fractals using Python's Turtle module. Learn to create psychedelic designs, understand natural patterns, and discover a fun tool for teaching coding concepts.
Winning Card Games with 1000+ CPUs
Explore how AWS Lambda and Python concurrency can optimize a genetic algorithm for winning the SushiGo card game, discussing implementation, challenges, and results.
Supercharge Your Deep Learning Algorithms with Optimized Software
Optimize deep learning algorithms on Intel architecture using Intel® MKL for training and Intel® nGraph and OpenVINO™ for inferencing, enhancing runtime performance.