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This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language.
- Getting Started with Python
This course aims to teach everyone the basics of programming...
- Using Databases with Python
This course will introduce students to the basics of the...
- Using Python to Access Web Data
This course will show how one can treat the Internet as a...
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- Getting Started with Python
Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data. Taught in English. 22 languages available. Some content may not be translated. Instructor: Charles Russell Severance. Enroll for Free. Starts Apr 30. Financial aid available. 1,625,199 already enrolled. Included with. • Learn more. About.
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Programming for Everybody (Getting Started with Python) This course is part of Python for Everybody Specialization. Taught in English. 22 languages available. Some content may not be translated. Instructor: Charles Russell Severance. Enroll for Free. Starts Apr 25. Financial aid available.
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Python Basics | Michigan Online. Enroll Now. Free Access. Description. This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures.
We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis.