Intro to Python: Conditionals, Loops, and Functions

Intro to Python: Conditionals, Loops, and Functions

This course is part of Introduction to Programming with Python Specialization

Instructor: Bill Rosenthal

Access provided by University 365

3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Implement conditional logic using boolean comparison operators, complex nested if-else structures, and Python's match-case statement.
Build efficient for and while loops alongside advanced list comprehensions to traverse multi-dimensional data structures.
Structure reusable code by writing custom functions with variable scopes and establishing object-oriented classes with inheritance.
Data files for this course are provided in the first course of this specialization, "Intro to Python: Setup and Data Processing".

Skills you'll gain

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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Build your subject-matter expertise

This course is part of the Introduction to Programming with Python Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

In this course, you'll continue developing your Python skills by controlling program logic through conditional statements and loops. You'll also make your code more modular and reusable through functions, classes, and modules.

Other than storing data, programming languages like Python® execute logical processes in order to determine what to do in a program. Conditional statements and loops are the primary ways that you can control the logical flow of a program, and they are found in nearly all Python-developed software. In this lesson, you'll take advantage of both to produce a more complex application.

What's included

1 reading4 plugins

Object-oriented languages excel at giving programmers the tools they need to make coding easier. Reusing code not only enables you to develop at a quicker pace, but it also makes your source code more readable. Inefficient and ugly code is incredibly difficult to maintain, so you'll leverage Python's built-in reusable objects to avoid this pitfall.