This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.īut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first. That will give you a great launch toward being an independent Python programmer. ![]() And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.īy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. We will see how to use each of them and how they make life easier for. You will have lots of opportunities to practice. There are four built-in data structures in Python - list, tuple, dictionary and set. modules, object-oriented programming) Have familiarity of Python data science. list: Mutable Dynamic Arrays tuple: Immutable Containers array. ![]() It was designed with an emphasis on code readability, and its syntax allows programmers to express their concepts in fewer lines of code. It was created by Guido van Rossum in 1991 and further developed by the Python Software Foundation. The argument may be a module, class, method, function, traceback, frame, or code object. Students will also learn basic Python data science tools including NumPy. Video Python is a widely used general-purpose, high level programming language. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. To fetch the source of a function, use ' inspect.getsource ' eg, applying it to itself: > print inspect.getsource (inspect.getsource) def getsource (object): '''Return the text of the source code for an object. This specialization teaches the fundamentals of programming in Python 3.
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