Apprentice Level

9 Hands-on labs

Certified Entry-Level Python Programmer Certification

By Keith Thompson

Build a foundation in the fundamentals of Python on your way to successfully pass the Certified Entry-Level Python Programmer exam.

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10 hours

67 Lessons
9 Hands-On Labs
1 Practice Exam

About the course

The Certified Entry-Level Python Programmer Certification (PCEP) is a great place to start when getting Python certified. The Python Institute provides multiple certification exams for Python ranging from entry level to professional level. This course is designed to teach you the fundamentals of Python required to take and pass the Certified Entry-Level Python Programmer Certification exam before moving onto the more advanced certifications.

Throughout this course, we’ll cover:

Python data types
Control flow structures — conditionals and loops
Data collections
Functions and generators

By the time you’ve completed this course, you should feel more than comfortable taking and passing the Certified Entry-Level Python Programmer Certification exam — but more importantly, you’ll have a good understanding of the fundamentals of Python programming.

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Chapter 1 3 Lessons Getting Started 3:30

An Important Note About A Cloud Guru and Linux Academy Courses
1:19

Course Introduction
1:19

About the Training Architect
0:52
Chapter 2 2 Lessons Environment Setup 14:12

Picking a Text Editor or IDE
6:18

Installing Python 3.7 on a Cloud Playground Server
7:54
Chapter 3 5 Lessons Fundamental Concepts 18:16

Compilers and Interpreters
3:57

Lexing, Syntax, and Semantics
4:18

Python Specifics: Keywords and Instructions
3:56

Using the REPL
2:29

Creating a Python File
3:36
Chapter 4 5 Lessons Literals, Variables, and Comments 24:47

Comments
3:02

Variables and the Assignment Operator
6:00

Strings and String Operators
11:51

Booleans
1:15

Numbers: Integers, Floats, and Scientific Notation
2:39
Chapter 5 3 Lessons Number Systems and Numeric Operators 12:43

Numeric Operators
3:53

Number Systems
6:30

Floating-Point Accuracy
2:20
Chapter 6 4 Lessons Operators and Bindings 30:21

Unary and Bitwise Operators
13:10

Boolean Operators
3:13

Comparison Operators
8:57

Operator Priority (Binding)
5:01
Chapter 7 4 Lessons Input and Output Operations 52:35

Typecasting
9:21

The `input` Function
5:10

The `print` Function
8:04

Making Calculations from User Input with Python
30:00 Hands-On Lab
Chapter 8 4 Lessons Strings, Operations, and Calculations 42:54

Understanding Immutability
3:07

The `len` Function
1:14

String Indexing and Slicing
8:33

Indexing and Slicing Python Strings
30:00 Hands-On Lab
Chapter 9 4 Lessons Lists 1:03:56

Lists
7:59

List Functions and Methods
6:43

Nested Lists: Matrices and Cubes
4:14

Using Python Lists
45:00 Hands-On Lab
Chapter 10 2 Lessons Tuples 8:13

Tuples
3:48

Tuples Versus Lists
4:25
Chapter 11 3 Lessons Dictionaries 38:18

Dictionaries
6:20

Dictionary Methods
1:58

Using Python Dictionaries
30:00 Hands-On Lab
Chapter 12 4 Lessons Strings 38:20

String Encodings and Functions
6:10

Useful String Methods, Part 1
9:30

Useful String Methods, Part 2
7:40

Using Python String Methods
15:00 Hands-On Lab
Chapter 13 4 Lessons Conditionals 43:00

The `if` and `else` Statements
4:24

Handling Multiple Cases with `elif`
5:47

Utilizing `pass`
2:49

Using Python Conditionals
30:00 Hands-On Lab
Chapter 14 8 Lessons Looping 1:27:33

The `while` Loop
3:20

The `for` Loop
4:19

Nesting Loops and Conditionals
2:47

Controlling Loop Execution with `break` and `continue`
4:39

Integrating `else` with Loops
3:14

Using `range`
3:45

List Comprehensions
5:29

Utilizing Python Loops
1:00:00 Hands-On Lab
Chapter 15 4 Lessons Function Basics 1:04:57

Defining and Using Functions
5:30

Parameters vs. Arguments
6:52

Recursion
7:35

Defining and Using Python Functions
45:00 Hands-On Lab
Chapter 16 3 Lessons Generators 39:37

Creating and Using Generators
5:22

Converting Generators to Lists
4:15

Defining and Using Python Generators
30:00 Hands-On Lab
Chapter 17 3 Lessons Scoping 10:46

Python Scopes
2:53

Name Hiding (Shadowing)
2:58

The `global` Keyword
4:55
Chapter 18 2 Lessons Final Steps 3:02

How to Prepare for the Exam
1:30

What's Next After Certification?
1:32
Chapter 19 1 Lesson Practice Exam 30:00

Certified Entry-Level Python Programmer Certification
30:00 Quiz

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

Certified Entry-Level Python Programmer Certification

About the course

Lab Highlights

An Important Note About A Cloud Guru and Linux Academy Courses

Course Introduction

About the Training Architect

Picking a Text Editor or IDE

Installing Python 3.7 on a Cloud Playground Server

Compilers and Interpreters

Lexing, Syntax, and Semantics

Python Specifics: Keywords and Instructions

Using the REPL

Creating a Python File

Comments

Variables and the Assignment Operator

Strings and String Operators

Booleans

Numbers: Integers, Floats, and Scientific Notation

Numeric Operators

Number Systems

Floating-Point Accuracy

Unary and Bitwise Operators

Boolean Operators

Comparison Operators

Operator Priority (Binding)

Typecasting

The `input` Function

The `print` Function

Making Calculations from User Input with Python

Understanding Immutability

The `len` Function

String Indexing and Slicing

Indexing and Slicing Python Strings

Lists

List Functions and Methods

Nested Lists: Matrices and Cubes

Using Python Lists

Tuples

Tuples Versus Lists

Dictionaries

Dictionary Methods

Using Python Dictionaries

String Encodings and Functions

Useful String Methods, Part 1

Useful String Methods, Part 2

Using Python String Methods

The `if` and `else` Statements

Handling Multiple Cases with `elif`

Utilizing `pass`

Using Python Conditionals

The `while` Loop

The `for` Loop

Nesting Loops and Conditionals

Controlling Loop Execution with `break` and `continue`

Integrating `else` with Loops

Using `range`

List Comprehensions

Utilizing Python Loops

Defining and Using Functions

Parameters vs. Arguments

Recursion

Defining and Using Python Functions

Creating and Using Generators

Converting Generators to Lists

Defining and Using Python Generators

Python Scopes

Name Hiding (Shadowing)

The `global` Keyword

How to Prepare for the Exam

What's Next After Certification?

Certified Entry-Level Python Programmer Certification

What you will need

What are Hands-on Labs

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