Best Python Cheatsheet
What is Python?
Python is a programming language that lets you work quickly and integrate systems more effectively.
It is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms and can freely distribute. Often, developers become hopelessly enamored with Python considering the expanded profitability it gives. Since there is no compilation step, the alter test-investigate cycle is extraordinarily quick. Troubleshooting Python projects is simple: a bug or awful info will never bring about a segmentation fault. Rather, when the interpreter finds a mistake, it raises an exemption. At the point when the program doesn’t get the exemption, the translator prints a stack trace. A source-level debugger permits assessment of neighborhood and worldwide variables, assessment of discretionary expressions, setting breakpoints, venturing through the code a line at once, et cetera. The debugger made in Python itself, vouching for Python’s contemplative power. Then again, often the snappiest approach to investigate a program is to add a couple of print explanations to the source: the quick alter test-troubleshoot cycle makes this straightforward approach extremely compelling. This cheat sheet provided by Dave Child, this includes both built-in system and operating system variables, as well as standard methods for working with lists, files, and strings—and more. You can download it for free in PDF or PNG version or view it online at the link below. Or right-click on the image here to save it:
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