Python 3 Programming
This specialization teaches the fundamentals of programming in Python 3. 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. You will have lots of opportunities to practice.
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- Level Foundation
- Course by University of Michigan
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This specialization teaches the fundamentals of programming in Python 3. 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. You will have lots of opportunities to practice. 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. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. 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. But 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.Auto Summary
Unlock the power of Python with the "Python 3 Programming" course. This specialized program is perfect for those interested in Big Data and Analytics, and it delves deep into the essentials of Python 3. Under the expert guidance of Coursera, you will start with the basics such as variables, conditionals, and loops, and progress to more complex topics like keyword parameters, list comprehensions, lambda expressions, and class inheritance. The course is designed to provide ample practice opportunities, helping you to understand program execution and debug effectively. By the end, you will be proficient in writing programs that interact with Internet APIs to extract and utilize data, and you will have the skills to independently learn and implement new modules and APIs through documentation. Ideal for learners who have completed "Python for Everybody" and want to deepen their Python knowledge, or for those with prior experience in another programming language, this course sets a solid foundation for advanced studies like Applied Data Science with Python. Jumpstart your journey with the starter subscription and embark on a path to becoming a confident, independent Python programmer.
Paul Resnick
Steve Oney
Christopher Brooks