Harness the power of Python's re.subn() function to easily perform search and replace operations on strings using regular expressions. Keep track of the number of substitutions made with this powerful tool, aiding in debugging and further processing within your code. Master advanced substitution techniques with re.subn().
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Master advanced slicing and indexing techniques with numpy.ndarray. Learn how to access elements using square brackets, pair of indices, or combining indexing with :, enabling easy selection of rows, columns, and higher dimensions. Remember, basic indexing in numpy returns views, not copies, impacting the original array.
The post Advanced Slicing and Indexing with numpy.ndarray appeared first on Python Lore.
Discover how to use json.loads to parse JSON data from a string effortlessly. JSON, a universal data format, is crucial for transmitting and storing data. In Python, JSON data corresponds to dictionaries and lists, easily converted using the built-in json module. Mastering JSON processing is essential for developers.
The post Exploring json.loads for Parsing JSON Data from a String appeared first on Python Lore.
