How to declare packages in Python with `__init__.py`
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🗺 Tox – testing on different Python versions When you develop libraries or applications in Python, it is extremely important to ensure their compatibility with various interpreter versions. This becomes especially relevant when publishing packages on PyPI, where users may use different Python versions. — Manually installing Python 3.7, 3.8, 3.9, 3.10 and then testing each version takes a lot of time and effort. ➡️ pythonlib - https://lnkd.in/eb49hzRz #redfishiaven #tox #python
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"Understanding the pivotal role that wheels play in the Python ecosystem can make your life easier as both a user and developer of Python packages. Furthermore, increasing your Python literacy when it comes to wheels will help you to better understand what’s happening when you install a package and when, in increasingly rare cases, that operation goes awry." by Real Python #python #packages #codereuse #librarydevelopment https://lnkd.in/dWGiFhQF
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Python 3.14 now includes built-in Zstandard compression 🚀 For years, gzip has been Python's built-in compression standard. Now Python 3.14 adds Zstandard as a faster, more efficient alternative. The example compresses an 18.29MB log file with Zstandard. Zstandard is 10.4x faster than gzip and produces a file that's 3.3x smaller. Zstandard allows you to control the compression level, from 1 (fastest) to 22 (best compression). #Python
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🚀 Creating and Importing Modules (Python) To create a module, simply save Python code in a `.py` file. The module name is derived from the filename. To use the module in another script, use the `import` statement. You can import the entire module or specific functions/classes from it. The `as` keyword can be used to create an alias for the module name for easier access. #Python #PythonDev #DataScience #WebDev #professional #career #development
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How to Optimise a Product Search Algorithm in Python? I am working on a small project where I need to search through a large product list efficiently using Python. I want the results to be fast accurate and easily Scalable. So far, I’ve tried using simple loops and linear searches, but its too slow for bigger datasets. Would implementing a hash map binary search or any other data structure be better for optimizing this product search? Any code snippets, libraries, or tips would be highly appreciated! Thanks in advance. https://lnkd.in/g-ebFpm4
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🐍 Python Term of the Day: function annotation (Python Glossary) A way to attach type information or type hints to function arguments and return values. https://lnkd.in/dGWUngux
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