Implement best practices to enhance code readability, maintainability, and efficiency Use tools like linters, type checkers, and formatters to enforce code quality Use effective code reviews and AI assistance to achieve code quality Apply testing and profiling techniques to ensure code robustness and pe...
A Data-Driven Look at Sponsorships: Walks you through using open data and SQL/Python tooling to quantify YouTube sponsor trends, identify high-ad-density channels, and apply time-based algorithms like sweep line to visualise ad placement.🔑Best Practices and Advice🔏Speed up exploratory data ...
Over the next few sections, you’ll get a quick tour of the most popular Python profiling tools and concepts: Timers like the time and timeit standard library modules, or the codetiming third-party package Deterministic profilers like profile, cProfile, and line_profiler Statistical profilers ...
bonus Timing and profiling code In this chapter, you will learn how to gather and compare runtimes between different coding approaches. You'll practice using the line_profiler and memory_profiler packages to profile your code base and spot bottlenecks. Then, you'll put your learnings to practice...
line_profiler Analyzes code performance line by line Shows execution time per statement Identifies slow operations memory_profiler Tracks memory consumption Reports memory leaks Monitors object lifecycle Optimization Tools: ToolFunctionKey Feature py-spy Sampling profiler Low overhead profiling scalene CPU/mem...
SmartProfiler Profiling framework for execution time, memory usage, CPU time, and function call counting with thread-safe capabilities. Visualization Django-Plottings Integration library for rendering Matplotlib graphics within Django web applications. justpyplot Plotting library for direct array-based visuali...
In this 55 pages tutorial, Ian Ozsvald shows you a number of techniques to get a 10-500 performance increase in your Python apps, from profiling, to PyPy, numPy, Multiprocessing... Djen of Django Agiliq Intermediate Djen of Django is a book consisting of a series of small Django projects ...
The tool features some advanced editing, debugging, and profiling tools that make coding in Python a lot easier and more efficient. For example, the editor features autocomplete functionality, syntax highlighting, horizontal and vertical splitting, and other coding efficiency tools. These all help ...
rkern/line_profiler - (OLD REPO) Line-by-line profiling for Python - Current repo ->python-attrs/attrs - Python Classes Without Boilerplatehunkim/PyTorchZeroToAll - Simple PyTorch Tutorials Zero to ALL!pallets/flask-sqlalchemy - Adds SQLAlchemy support to Flask...
Line Profiler Cons:because of the overhead it can be an order of magnitudeslowerthan real execution time, so don't use it for benchmarking. It is also an external requirement. Conclusion & Best Practices You should use some of the simpler tools (like timers or the built-in profiler) to...