PYTHON-FUNDA.AJ1
Python Fundamentals
Python powers everything from Netflix to self-driving cars. Ready to join the coding revolution? Master the basics in our Python Fundamentals course.
- Practice in 31 Hands-On Labs — nothing to install
- 13 Interactive Lessons and 77 topics mapped to the official exam objectives
- 261 Practice Test Questions and 2 Full Length Tests
Beginner Self-paced · 1 year access 4.5/5 (168 Reviews)
31 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / Skills you'll get
What you will be able to do
- Work with core Python programming fundamentals like variables, data types (numerical, strings, lists, booleans), and operators.
- Craft control flow using statements like if, while, and for loops to guide program execution.
- Define and utilize functions to create reusable blocks of code.
- Leverage object-oriented programming (OOP) principles to structure your programs effectively.
- Manage errors and exceptions for robust code.
- Work with modules and packages to organize and share code.
- Perform essential file operations like reading, writing, and manipulating data.
Course Highlights
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13 Structured Lessons Comprehensive coverage of core course objectives
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31 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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261 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
13 Interactive Lessons · 77 topics01 Introduction 8 topics +
- About the Course
- Learning Objectives
- Audience
- Approach
- Minimum Hardware Requirements
- Software Requirements
- Conventions
- Installation
02 Introducing Python 6 topics · 5 LiveLab +
- Introduction
- Working with the Python Interactive Shell
- Writing and Running Simple Scripts
- Variables
- User Input, Comments, and Indentations
- Summary
5 LiveLab in this lesson — see the labs panel →
03 Data Types 6 topics · 6 LiveLab +
- Introduction
- Numerical Data
- Strings
- Lists
- Booleans
- Summary
6 LiveLab in this lesson — see the labs panel →
04 Control Statements 11 topics · 4 LiveLab +
- Introduction
- Control Statements
- The if Statement
- The while Statement
- while Versus if
- Loops
- The for Loop
- The range Function
- Nesting Loops
- Breaking Out of Loops
- Summary
4 LiveLab in this lesson — see the labs panel →
05 Functions 6 topics · 2 LiveLab +
- Introduction
- Built-In Functions
- User-Defined Functions
- Function Arguments
- Anonymous Functions
- Summary
2 LiveLab in this lesson — see the labs panel →
06 Lists and Tuples 9 topics · 2 LiveLab +
- Introduction
- List Syntax
- List Methods
- List Comprehensions
- Tuple Syntax
- Accessing Tuple Elements
- Accessing Tuple Elements
- Tuple Methods
- Summary
2 LiveLab in this lesson — see the labs panel →
07 Dictionaries and Sets 8 topics · 3 LiveLab +
- Introduction
- Working with Dictionaries
- Additional Dictionary Attributes
- Ordered Dictionaries
- The Basics of Sets
- Set Operations
- Frozen Sets
- Summary
3 LiveLab in this lesson — see the labs panel →
08 Object-Oriented Programming 9 topics · 5 LiveLab +
- Introduction
- A First Look at OOP
- OOP in Python
- Methods in a Class
- Class Versus Instance Attributes
- Class Versus Instance Methods
- Class Inheritance
- Multiple Inheritance
- Summary
5 LiveLab in this lesson — see the labs panel →
09 Modules, Packages, and File Operations 9 topics · 1 LiveLab +
- Introduction
- Defining Modules
- Imports and Import Statements
- Modules and Packages
- File Operations
- The file Object
- Reading and Writing to Files
- Handling Structured Data
- Summary
1 LiveLab in this lesson — see the labs panel →
10 Error Handling 5 topics · 3 LiveLab +
- Introduction
- Built-In Exceptions
- Handling Errors and Exceptions
- Custom Exceptions
- Summary
3 LiveLab in this lesson — see the labs panel →
11 Appendix: PCAP Exam Objective +
12 Appendix: PCEP-30-01 Exam Objective +
13 Appendix: PCEP-30-02 Exam Objective +
Hands-On Labs Our edge
31 LiveLabs- Using the print Method
- Displaying a Statement Multiple Times
- Using Variable Assignment
- Using Variables and Assigning Statements
- Displaying the Multiplication Table Using Loops
- Using Arithmetic Operators
- Performing String Slicing Tasks
- Working with Strings
- Manipulating Strings Using the strip Method
- Working with Lists
- Using Boolean Operators
- Working with the if Statement
- Working with the while Statement
- Using the for Loop and the range Function
- Using Nested Loops
- Working with Function Arguments
- Using Lambda Functions
- Using List Methods
- Using Tuple Methods
- Arranging and Presenting Data Using Dictionaries
- Combining Dictionaries
- Creating Intersections of Elements in a Collection
- Defining Methods in a Class
- Creating Class Attributes
- Creating Class Methods and Using Information Hiding
- Overriding Methods
- Implementing Multiple Inheritance
- Using Resources in a Module
- Identifying Error Scenarios
- Handling Errors
- Creating the Custom Exception Class
03 / Exam details
Python Fundamentals Details
The Python Fundamentals course covers a range of topics that are essential for beginners to learn the basics of Python programming. The course includes Python syntax, data types, control structures, functions, modules, and more. It is designed to provide a comprehensive understanding of Python programming and enable learners to write basic Python code. In addition to the core topics, the course also covers best practices for Python programming and provides hands-on labs and real-world projects to help learners gain practical experience.
Ready to take the exam?
Add your official PYTHON-FUNDA.AJ1 exam voucher to your order.
Official Voucher · Fast delivery · Retake bundle available04 / FAQs
Questions before you start
Who is this course perfect for?+
What are the basic concepts of Python?+
- Variables and Data Types: Variables store data like numbers (integers, floats), text (strings), collections (lists, tuples, dictionaries), and True/False values (booleans).
- Operators: These perform operations on data, including arithmetic (+, -, *, /), comparison (==, !=, <, >), and logical (and, or, not).
- Control Flow: Statements like if, while, and for loops dictate how your program executes based on conditions or repetitions.
- Functions: Reusable blocks of code that perform specific tasks, promoting code organization and efficiency.
What are the fundamentals of Python list?+
Python lists are a fundamental data structure used to store ordered collections of items. Here are some key points:
- Mutability: Lists are mutable, meaning you can change their contents after creation by adding, removing, or modifying elements.
- Indexing and Slicing: You can access elements by their position (index) or extract list portions using slicing syntax.
- Common Methods: Built-in methods like append, insert, remove, and sort help you manipulate and organize list elements.
- Heterogeneity: Lists can hold elements of different data types within the same list.
What is the exam registration fee?+
Where do I take the exam?+
What is the format of the exam?+
How many questions are asked in the exam?+
What is the duration of the exam?+
What is the passing score?+
Where can I find more information about this exam?+
This Python Fundamentals Course is Your Launchpad
The world runs on code, and Python is the language of the future. With this fundamentals of Python programming course, you'll transform from a curious onlooker to a Python developer.
- 1 year of full access
- 31 LiveLab included
- Certificate of completion