How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data.
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Introduction to Python Functions
This course is part of Expressway to Data Science: Python Programming Specialization
Instructor: Di Wu
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What you'll learn
By successfully completing this course, you will be able to use functions predefined in Python and in Python packages.
You will also be able to define Python functions.
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There are 4 modules in this course
Welcome on board! This first module shows the reasons why we need functions and introduces basic function definitions. You are going to recall some functions we have learned before, and you are going to define some simple functions of your own! Are you ready? Let's go!
What's included
4 videos5 readings4 assignments
Now you should be comfortable with simple functions. This module introduces you more about functions with parameters, which are the majority ones you are going to call when you do your data science projects. Are you ready? Let's go!
What's included
5 videos4 readings4 assignments
For data science projects, not only we need to execute some functions, but also we expect some results from the execution so we can use the results for next step. This module introduces you the functions with return values. Are you ready? Let's go!
What's included
2 videos2 readings3 assignments
With the knowledge you have learned about simple functions, functions with parameters, and functions with return values, you should be able to learn nested functions. This module introduces you the general idea of nested functions, as well as two specific categories of them: hierarchical functions and recursive functions. Are you ready? Let's go!
What's included
4 videos4 readings4 assignments
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Taking this course by University of Colorado Boulder may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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