One of Python's best features is the number of libraries you can use with the language. Not only does Python come with lots ...

The built-in math library will turn Python into a scientific calculator. You can use the import function to access its functions. import math Suppose you wanted an approximation of pi.

The Cython library in Python lets you write Python code and convert it to C for speed, using C types for variables. Those variables can include NumPy arrays, so any Cython code you write can work ...

Typically, such libraries — like NumPy, for scientific computing — wrap high-speed math modules written in C, C++, or Fortran in a convenient Python wrapper.

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Welcome to Python: A Crash Course About This is a crash course for Python. We'll quickly go through the basic data types of Python (strings, lists, sets, dictionaries), and cover conditionals and ...

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In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...

Existing languages such as Python have large user and developer communities, which means there are lots of useful add-on libraries out there (including CDAT, Iris and Cartopy).