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pep8 or how to write beautiful code

Download 1M+ code from https://codegive.com/5351741 pep 8, which stands for python enhancement proposal 8, is the style guide for python code. it provides conventions for writing clean, readable, and consistent python code. following pep 8 can help improve the readability of your code and make it easier for others (and yourself) to understand and maintain it. below is a detailed overview of the key conventions in pep 8, along with code examples. 1. *code layout* indentation use 4 spaces per indentation level. never use tabs; spaces are preferred. maximum line length limit all lines to a maximum of 79 characters. for comments and docstrings, limit to 72 characters. 2. *whitespace* around operators and delimiters use a single space around binary operators and after commas. avoid extra spaces. blank lines use blank lines to separate functions and classes, and larger blocks of code inside functions. use two blank lines before a function or class definition, and one blank line within a method. 3. *imports* imports should usually be on separate lines. group imports in the following order: standard library imports, related third-party imports, and local application/library specific imports. 4. *naming conventions* variables and functions use lowercase words separated by underscores for variable and function names. classes use capitalizedwords convention for class names. constants use all_caps with underscores for constants. 5. *comments* use comments to explain code that is not immediately clear. keep them up to date. block comments generally apply to some (or all) code that follows them and are indented to the same level as that code. inline comments should be separated by at least two spaces from the statement and should start with a and a space. 6. *docstrings* use triple quotes for docstrings. write them as the first statement in a module, function, class, or method. 7. *exceptions* use `try` and `except` to handle ... #PEP8 #BeautifulCode #numpy Pep8 Python coding standards code readability clean code Python style guide formatting guidelines code conventions best practices consistent indentation naming conventions code organization commenting best practices code simplicity maintainable code Python beauty