Power Up Your Work with Compiling and Profiling
Discover how to optimize Python code performance using Numba, a JIT compiler for numerical calculations. Learn when and how to apply Numba effectively to speed up math-heavy code in data science and development projects.
Debugging and Profiling Techniques
Learn essential debugging and profiling techniques to optimize Python code performance, identify bottlenecks, and resolve complex issues efficiently.
Python for High Performance and Scientific Computing
Explore Python's capabilities for high-performance and scientific computing, enhancing your skills in numerical simulations and data analysis for research and industry applications.
Debugging and Profiling Techniques
Learn essential debugging and profiling techniques to optimize Python code performance, identify bottlenecks, and resolve complex issues efficiently.
Exploring CPython's Bytecode
Dive into CPython's bytecode, exploring its structure, execution, and optimization. Learn to compile, disassemble, and manipulate code objects for deeper Python understanding.
Pricing Products Using Python Graphs and Sets
Learn to price products efficiently using Python's graph and set capabilities, exploring practical techniques for product lifecycle management and rule interpretation.
Faster Python Programs Through Optimization Part 2
Discover advanced techniques for optimizing Python code, enhancing performance, and improving execution speed in complex programs.
Faster Python Programs Through Optimization Part 1
Learn techniques to optimize Python programs for improved performance, focusing on practical strategies to enhance code efficiency and speed.
Python Web Applications in Multihost- Low Latency Environments
Explore techniques for optimizing Python web apps in distributed, high-performance settings. Learn strategies to enhance speed and efficiency in complex server environments.
Faster Python Programs through Optimization Part 1
Discover techniques to optimize Python programs for improved speed and efficiency, focusing on practical strategies and best practices.
Faster Python Programs through Optimization Part 2
Explore advanced Python optimization techniques to enhance program speed and efficiency in this in-depth conference talk.
The Cython Compiler for Python
Explore Cython, a powerful static compiler for Python, to speed up code and create fast native extensions. Learn key features, optimization techniques, and C/C++ integration.
Kung Fu at Dawn with Itertools
Discover advanced Python programming with itertools. Learn elegant iterator algebra for simpler, memory-efficient solutions. Practical examples showcase how to overhaul traditional code using powerful itertools functions.
Writing Faster Python
Learn techniques to optimize Python code performance, including profiling, efficient data structures, and best practices for faster execution without compromising readability.
Kung Fu al amanecer con itertools
Descubre el poder del módulo itertools en Python para programación avanzada. Aprende técnicas elegantes y eficientes para encadenar abstracciones y mejorar tu código con ejemplos prácticos.
Python Profiling with Intel VTune Amplifier
Explore Python performance analysis using Intel® VTune™ Amplifier, a GUI tool for identifying bottlenecks, analyzing call stacks, and optimizing code efficiency in high-performance computing and machine learning applications.
Running Python Code in Parallel and Asynchronously
Explore parallel and asynchronous Python execution, covering GIL, threads vs. processes, implementation techniques, potential pitfalls, and practical applications in web development contexts.
A Faster Python? You Have These Choices
Explore options for optimizing Python performance, from C extensions to PyPy. Learn trade-offs between speed and code maintainability, with real-world examples and benchmarks.
Pythonic Code vs Performance
Explore the beauty of idiomatic Python and its performance implications. Learn to write elegant, Pythonic code while understanding its impact on CPU and memory usage.
Cython to Speed Up Your Python Code
Discover how to significantly accelerate Python code using Cython, a powerful tool that translates Python to C/C++, enabling static optimizations and seamless integration of Python, C, and C++ features.
Opening PyPy's Magic Black Box
Explore PyPy's meta-tracing JIT compiler, understanding its optimization techniques for faster Python code execution. Gain insights into PyPy's inner workings and learn to leverage its performance benefits.