Python Programming from A To Z




Course Overview:
The Python Programming from A-Z course on Course Plus is a comprehensive guide that takes learners from the basics of Python to advanced concepts, ensuring they gain hands-on skills. Designed for beginners and experienced developers, this course covers Python syntax, data types, control flow, OOP, libraries like NumPy and Pandas, and career strategies for Python professionals. Whether you aim to excel in web development, data analysis, or AI, this course equips you with the essential tools to thrive. Learn through interactive exercises, mini-projects, and real-world examples to master Python programming effectively.
Why Enroll in this Course?
Enrolling in the Python Programming from A-Z course on Course Plus will give you the edge you need in the competitive tech world. With Python being one of the most in-demand programming languages globally, this course is your pathway to lucrative opportunities in data science, web development, and artificial intelligence. You’ll receive in-depth training, starting from Python basics to advanced topics like OOP and data manipulation with Pandas. Designed for flexibility, this course lets you learn at your own pace with hands-on projects, making it ideal for beginners and professionals. Plus, you’ll gain actionable career tips, including building a standout resume and launching a freelance career. Start your Python journey with Course Plus and build a strong foundation for your tech career.
Investment Value:
- Comprehensive course covering Python basics, advanced functions, and libraries like NumPy and Pandas.
- Hands-on projects and exercises to reinforce learning with practical applications.
- Insights into freelancing, personal branding, and career-building strategies.
- Access to industry-relevant content with up-to-date teaching methods.
- Affordable pricing compared to other Python programming courses.
Technical Specifications:
- Beginner-friendly and no prior programming knowledge required.
- Learn Python 3 using tools like Jupyter Notebooks and VS Code.
- Accessible across devices (PC, tablet, and mobile).
- Lifetime access to course materials and updates.
- Compatible with both Windows and MacOS operating systems.
Learning Outcome
- Master Python syntax, data types, and control flow.
- Understand and implement advanced Python functions, including decorators and generators.
- Work with essential libraries like NumPy and Pandas for data manipulation.
- Develop object-oriented programming (OOP) skills.
- Write Python scripts and integrate third-party libraries.
- Build confidence in handling errors and debugging efficiently.
- Learn how to transition Python skills to professional career opportunities.
- Create Python projects and mini-applications to build your portfolio.
- Gain freelancing insights, including resume-building and networking.
- Prepare for Python-based job roles, even without a formal degree.
Conclusion
The Python Programming from A-Z course on Course Plus is your gateway to mastering one of the most versatile and in-demand programming languages. Whether you’re a beginner or looking to elevate your skills, this course offers comprehensive content, hands-on projects, and actionable career insights. Start today and unlock a world of opportunities in data science, AI, and beyond!
Next Steps:
- Register on Course Plus platform
- Access course materials
- Join community discussions
- Earn certification
Course Curriculum
Introduction to Python Programming from A-Z
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Intro To Python Programming
06:00 -
What is Python Programming
10:00 -
Who is This Course For?
05:00 -
Python Programming Marketplace
06:00 -
Python Job Opportunities
05:00 -
Python Programmer Job Roles
09:00 -
Python from A-Z Course Structure
05:00 -
How To Land a Python Job Without a Degree
09:00
Getting Familiar with Python
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Getting Familiar with Python Section Overview
06:00 -
Installing Python on Windows
10:00 -
Anaconda and Jupyter Notebooks Part 1
08:00 -
Anaconda and Jupyter Notebooks Part 2
17:00 -
Python Syntax
03:00 -
Line Structure
03:00 -
Line Structure Exercise
08:00 -
Comments
06:00 -
Joining Lines
05:00 -
Multiple Statements on a Single Line
05:00 -
Indentation
08:00
Python Basic Data Types
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Basic Data Types Section Overview
09:00 -
Python Variables
09:00 -
Integers and Floats
09:00 -
String Overview
10:00 -
String Manipulation
08:00 -
String Indexing
05:00 -
String Slicing
09:00 -
Boolean
05:00 -
Printing
10:00 -
Mini Project 1 – Letter Counter
22:00
Python Operators
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Python Operators Section Overview
05:00 -
Arithmetic Operators
09:00 -
Assignment Operators
04:00 -
Comparison Operators
10:00 -
Logical Operators
13:00 -
Identity Operators
05:00 -
Membership Operators
03:00 -
Bitwise Operators
08:00
Python Advanced Data Types
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Python Advanced Data Types Section Overview
11:00 -
List Overview
05:00 -
List Slicing and Indexing
05:00 -
Tuples
03:00 -
Sets
07:00 -
Dictionaries
11:00 -
When to use each one?
05:00 -
Compound Data Types
03:00
Python Control Flow Part 1
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Control Flow Part 1 Section Overview
16:00 -
Intro to Control Flow
01:00 -
Basic Conditional Statements
14:00 -
More Conditional Statements
06:00 -
For Loops
10:00 -
While Loops
12:00
Python Control Flow Part 2
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Control Flow Part 2 Section Overview
03:00 -
Break Statements
08:00 -
Continue Statements
05:00 -
Zip Function
08:00 -
Enumerate Function
04:00 -
List Comprehension
05:00
Python Functions
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Python Functions Section Overview
03:00 -
Intro to Functions
03:00 -
Python help Function
04:00 -
Defining Functions
10:00 -
Variable Scope
09:00 -
Doc Strings
04:00
User Input and Error Handling
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User Input and Error Handling Section Overview
02:00 -
Introduction to error handling
03:00 -
User Input
05:00 -
Syntax Errors
04:00 -
Exceptions
12:00 -
Handling Exceptions Part 1
09:00 -
Handling Exceptions Part 2
09:00
Python Advanced Functions
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Python Advanced Functions Section Overview
06:00 -
Lambda Functions
06:00 -
Functions args and kwargs
11:00 -
Iterators
09:00 -
Generators and Yield
12:00 -
Map Function
15:00 -
Filter Function
09:00
Python Scripting and Libraries
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Python Scripting and Libraries Section Overview
05:00 -
What is a script?
02:00 -
What is an IDE?
18:00 -
What is a text editor?
12:00 -
From Jupyter Notebook to VScode Part 1
15:00 -
From Jupyter Notebook to VScode Part 2
06:00 -
Importing Scripts
04:00 -
Standard Libraries
05:00 -
Third Party Libraries
06:00
NumPy
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NumPy Section Overview
05:00 -
Intro to NumPy
05:00 -
Why use NumPy?
05:00 -
NumPy Arrays
11:00 -
Reshaping, Accessing, and Modifying
08:00 -
Slicing and Copying
06:00 -
Inserting, Appending, and Deleting
10:00 -
Array Logical Indexing
04:00 -
Broadcasting
09:00
Pandas
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Intro to Pandas
17:00 -
Pandas Series
17:00 -
Pandas Series Manipulation
17:00 -
Pandas DataFrame
18:00 -
Pandas DataFrame Manipulation
13:00 -
Dealing with Missing Values
11:00
Intro To OOP
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Functional vs OOP
07:00 -
OOP Key Definitions
05:00 -
Create your First Class
13:00 -
How to Create and Use Objects
07:00 -
How to Modify Attributes
13:00
Advanced OOP
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Python Decorators
28:00 -
Property Decorator
09:00 -
Class Method Decorator
08:00 -
Static Methods
11:00 -
Inheritance from A to Z
21:00
Starting a Career in Python
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Python Career Section Overview
06:00 -
Getting Started with Freelancing
10:00 -
Building A Brand
12:00 -
Personal Branding
14:00 -
Importance of Having Website/Blog
05:00 -
Do’s and Don’ts of Networking
06:00 -
Top Freelance Websites
09:00 -
Creating A Python Developer Resume
07:00
Student Ratings & Reviews
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LevelExpert
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Duration16 hours 32 minutes
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Last UpdatedFebruary 28, 2025
A course by
Material Includes
- 24/7 Support
- Online e-learning platform
- Interactive modules
- Video-based instruction
- Practical exercises
- Certification (on demand)
- Assessment on demand
Requirements
- Minimum age: 18 years
- Access to a computer with internet
- Willingness to learn and engage
Target Audience
- Aspiring programmers with no prior experience in coding.
- Professionals looking to transition into Python programming.
- Students interested in building a career in software development or data science.
- Freelancers aiming to expand their skill set and client base.
- Data analysts and AI enthusiasts seeking Python expertise.
- Hobbyists and tech enthusiasts passionate about learning Python.

