PCEP: Python Conditionals, Loops, Functions, and Exceptions

PCEP: Python Conditionals, Loops, Functions, and Exceptions

This course is part of Certified Entry-Level Python Programmer (PCEP) Specialization

Instructor: Bill Rosenthal

Access provided by CalArts

3 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Implement conditional logic using boolean comparisons, bitwise operators, nested if-else evaluations, and sequence range loops.
Manage program execution flow by utilizing complex loop controls, advanced list comprehensions, and recursive function designs.
Construct custom functions with variable scopes, return statements, and robust try-except blocks to catch built-in exceptions.
Data files for this course are provided in the first course of this specialization, "PCEP: Python Setup".

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 Certified Entry-Level Python Programmer (PCEP) 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

To round out your introduction to Python programming, you'll write conditional statements and loops to control flow in your programs. You'll also define and use functions to make your code more modular, and handle exceptions to make it more resilient.

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 reading5 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. In addition, code that is resilient against errors is beneficial to both users and developers. In this lesson, you'll employ Python's built-in mechanisms for achieving these goals.