Скачать или смотреть Why Are My Python Libraries Running So Slow? - Next LVL Programming

Why Are My Python Libraries Running So Slow? Are your Python libraries running slower than you'd like? In this video, we'll explore the common reasons behind sluggish performance and share practical tips to speed up your code. You'll learn how to identify bottlenecks using profiling tools like cProfile and line_profiler, so you can focus your efforts on the parts that matter most. We’ll also discuss how choosing the right data structures, such as sets versus lists, can make a big difference in execution time. Additionally, you'll discover how to optimize algorithms for better efficiency and how to handle large data sets without overloading your system’s memory by using generator expressions. The video covers the benefits of parallel processing with Python’s multiprocessing module, helping you utilize all your CPU cores for heavy computations. We’ll explain how to minimize external function call overhead and emphasize the importance of using built-in functions written in faster languages like C for better performance. Upgrading your Python version and ensuring your environment has sufficient resources can also boost speed. Finally, we’ll review how to analyze your algorithms to choose more scalable solutions. Whether you're a beginner or an experienced developer, these tips will help you make your Python libraries run faster and your projects more efficient. Subscribe for more programming tips and tricks! 🔗H

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