![]() This is a follow-up to the "Python Basics" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs. The course is well-suited for you if you have already taken the "Python Basics" course and want to gain further fundamental knowledge of the Python language. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. Python HOWTOs in-depth documents on specific topics. Python Setup and Usage how to use Python on different platforms. Language Reference describes syntax and language elements. Library Reference keep this under your pillow. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. Whats new in Python 3.10 or all 'Whats new' documents since 2.0 Tutorial start here. This course introduces the dictionary data structure and user-defined functions. 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. ![]() You will have lots of opportunities to practice. ![]() 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. This specialization teaches the fundamentals of programming in Python 3. ![]()
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