Overview Grasp the science of and how it relates to launching a lucrative career. Prepare for future needs by looking …
( 10 Reviews )
18 Students
Grasp the science of Python Programming From A-Z: Beginner To Expert and how it relates to launching a lucrative career. Prepare for future Python Programming From A-Z: Beginner To Expert needs by looking beyond the ongoing Python Programming From A-Z: Beginner To Expert impact with Discover Training’s up-to-date Python Programming From A-Z: Beginner To Expert course .
Discover Training’s Python Programming From A-Z: Beginner To Expert course gives you a solid foundation in Python Programming From A-Z: Beginner To Expert in many settings of human development. With industry expert interviews, you’ll gain a greater understanding of Python Programming From A-Z: Beginner To Expert‘s applications and limitations, as well as how it’s already been efficiently used in the field. Discover Training’s Python Programming From A-Z: Beginner To Expert course will help you obtain facts and knowledge to strengthen your abilities on both standard Python Programming From A-Z: Beginner To Expert techniques.
As you progress through the interactive modules of this online program, you will have a strong grasp of Python Programming From A-Z: Beginner To Expert to identify new opportunities for innovation and drive digital growth within your organization. Enrol in the Python Programming From A-Z: Beginner To Expert course today and leverage your knowledge tomorrow.
On Completion of this Python Programming From A-Z: Beginner To Expert online course, you’ll acquire:
Industry professionals developed the content of this online Python Programming From A-Z: Beginner To Expert course, combining their expertise and in-depth knowledge. The curriculum was developed by Discover Training to assist you in growing in your current role by providing you with the necessary information and concepts. As you progress through the modules of this course, you’ll learn the fundamentals of Python Programming From A-Z: Beginner To Expert and explore the essential concepts.
This Python Programming From A-Z: Beginner To Expert course is inclusive and accessible to individuals from diverse backgrounds. It specifically caters to those with a keen interest in the relevant sectors. Join us to expand your knowledge and excel in your chosen field.
No formal requirements are needed! Enrol effortlessly in this Python Programming From A-Z: Beginner To Expert course today. All you need is a device with internet access, and you’re all set to embark on your learning journey. Enjoy the flexibility of completing the course at your own pace.
Upon successful completion of the Python Programming From A-Z: Beginner To Expert course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.
Unlock the Potential of Python Programming From A-Z: Beginner To Expert and gain valuable insights into the evolving Python Programming From A-Z: Beginner To Expert industry. Acquire in-demand skills that can be immediately applied to lucrative job opportunities.
An outstanding online course with clear explanations and practical examples. I could study at my own pace and still feel fully supported throughout. It’s truly boosted my confidence and career prospects
The course was well-structured, engaging, and easy to follow. The flexibility made it perfect alongside my full-time job. I’ve gained valuable, real-world skills that I can apply immediately.
Excellent learning experience from start to finish. The content was professional, up-to-date, and highly relevant. I would highly recommend it to anyone looking to upskill online.
| Module 01: Introduction to Python Programming from A-Z | |||
| Intro To Python Section Overview | 00:05:00 | ||
| What is Python Programming | 00:09:00 | ||
| Who is This Course For | 00:05:00 | ||
| Python Programming Marketplace | 00:00:00 | ||
| Python Job Opportunities | 00:05:00 | ||
| How To Land a Python Job Without a Degree | 00:08:00 | ||
| Python Programmer Job Roles | 00:09:00 | ||
| Python from A-Z Course Structure | 00:04:00 | ||
| Module 02: Getting Familiar with Python | |||
| Getting Familiar with Python Section Overview | 00:06:00 | ||
| Installing Python on Windows | 00:10:00 | ||
| Anaconda and Jupyter Notebooks Part 1 | 00:08:00 | ||
| Anaconda and Jupyter Notebooks Part 2 | 00:16:00 | ||
| Comments | 00:05:00 | ||
| Python Syntax | 00:02:00 | ||
| Line Structure | 00:03:00 | ||
| Line Structure Exercise | 00:07:00 | ||
| Joining Lines | 00:00:00 | ||
| Multiple Statements on a Single Line | 00:05:00 | ||
| Indentation | 00:08:00 | ||
| Module 03: Basic Data Types | |||
| Basic Data Types Section Overview | 00:08:00 | ||
| String Overview | 00:10:00 | ||
| String Manipulation | 00:07:00 | ||
| String Indexing | 00:04:00 | ||
| String Slicing | 00:08:00 | ||
| Printing | 00:10:00 | ||
| Python Variables | 00:08:00 | ||
| Integers and Floats | 00:08:00 | ||
| Booleans | 00:05:00 | ||
| Mini Project 1 : Letter Counter | 00:20:00 | ||
| Module 04: Python Operators | |||
| Python Operators Section Overview | 00:04:00 | ||
| Comparison Operators | 00:09:00 | ||
| Arithmetic Operators | 00:08:00 | ||
| Assignment Operators | 00:04:00 | ||
| Logical Operators | 00:13:00 | ||
| Identity Operators | 00:05:00 | ||
| Membership Operators | 00:02:00 | ||
| Bitwise Operators | 00:08:00 | ||
| Module 05: Advanced Data Types | |||
| Python Advanced Data Types Section Overview | 00:11:00 | ||
| Sets | 00:06:00 | ||
| List Overview | 00:05:00 | ||
| List Slicing and Indexing | 00:04:00 | ||
| Tuples | 00:02:00 | ||
| Dictionaries | 00:11:00 | ||
| When to use each one? | 00:05:00 | ||
| Compound Data Types | 00:03:00 | ||
| Module 06: Control Flow Part 1 | |||
| Control Flow Part 1 Section Overview | 00:15:00 | ||
| Intro to Control Flow | 00:01:00 | ||
| Basic Conditional Statements | 00:14:00 | ||
| More Conditional Statements | 00:00:00 | ||
| For Loops | 00:10:00 | ||
| While Loops | 00:12:00 | ||
| Module 07: Control Flow Part 2 | |||
| Control Flow Part 2 Section Overview | 00:02:00 | ||
| Break Statements | 00:08:00 | ||
| Continue Statements | 00:05:00 | ||
| Zip Function | 00:07:00 | ||
| Enumerate Function | 00:04:00 | ||
| List Comprehension | 00:04:00 | ||
| Module 08: Python Functions | |||
| Python Functions Section Overview | 00:03:00 | ||
| Intro to Functions | 00:02:00 | ||
| Python help Function | 00:03:00 | ||
| Defining Functions | 00:09:00 | ||
| Variable Scope | 00:08:00 | ||
| Doc Strings | 00:04:00 | ||
| Module 09: User Input and Error Handling | |||
| User Input and Error Handling Section Overview | 00:02:00 | ||
| Introduction to error handling | 00:03:00 | ||
| User Input | 00:04:00 | ||
| Syntax Errors | 00:04:00 | ||
| Exceptions | 00:11:00 | ||
| Handling Exceptions Part 1 | 00:08:00 | ||
| Handling Exceptions Part 2 | 00:08:00 | ||
| Module 10: Python Advanced Functions | |||
| Python Advanced Functions Section Overview | 00:05:00 | ||
| Lambda Functions | 00:05:00 | ||
| Functions args and kwargs | 00:10:00 | ||
| Iterators | 00:08:00 | ||
| Generators and Yield | 00:12:00 | ||
| Map Function | 00:14:00 | ||
| Filter Function | 00:00:00 | ||
| Module 11: Python Scripting and Libraries | |||
| Python Scripting and Libraries Section Overview | 00:04:00 | ||
| What is a script | 00:01:00 | ||
| What is an IDE | 00:17:00 | ||
| What is a text editor? | 00:12:00 | ||
| From Jupyter Notebook to VScode Part 1 | 00:15:00 | ||
| From Jupyter Notebook to VScode Part 2 | 00:05:00 | ||
| Importing Scripts | 00:03:00 | ||
| Standard Libraries | 00:04:00 | ||
| Third Party Libraries | 00:06:00 | ||
| Module 12: NumPy | |||
| NumPy Section Overview | 00:04:00 | ||
| Intro to NumPy | 00:04:00 | ||
| Why use NumPy? | 00:04:00 | ||
| NumPy Arrays | 00:10:00 | ||
| Reshaping, Accessing, and Modifying | 00:07:00 | ||
| Slicing and Copying | 00:06:00 | ||
| Inserting, Appending, and Deleting | 00:10:00 | ||
| Array Logical Indexing | 00:04:00 | ||
| Broadcasting | 00:08:00 | ||
| Module 13: Pandas | |||
| Intro to Pandas | 00:17:00 | ||
| Pandas Series | 00:17:00 | ||
| Pandas Series Manipulation | 00:17:00 | ||
| Pandas DataFrame | 00:17:00 | ||
| Pandas DataFrame Manipulation | 00:13:00 | ||
| Dealing with Missing Values | 00:10:00 | ||
| Module 14: Introduction to OOP | |||
| Functional vs OOP | 00:06:00 | ||
| OOP Key Definitions | 00:04:00 | ||
| Create your First Class | 00:12:00 | ||
| How to Create and Use Objects | 00:06:00 | ||
| How to Modify Attributes | 00:12:00 | ||
| Module 15: Advanced OOP | |||
| Python Decorators | 00:27:00 | ||
| Property Decorator | 00:09:00 | ||
| Class Method Decorator | 00:07:00 | ||
| Static Methods | 00:10:00 | ||
| Inheritance from A to Z | 00:21:00 | ||
| Module 16: Starting a Career in Python | |||
| Python Career Section Overview | 00:06:00 | ||
| Getting Started with Freelancing | 00:09:00 | ||
| Building A Brand | 00:12:00 | ||
| Personal Branding | 00:13:00 | ||
| Importance of Having Website/Blog | 00:04:00 | ||
| Do’s and Don’ts of Networking | 00:06:00 | ||
| Top Freelance Websites | 00:08:00 | ||
| Creating A Python Developer Resume | 00:06:00 | ||
Yes, Discover Training provides accredited and CPD-certified courses, ensuring learners receive recognised qualifications that support career progression and professional compliance.
Anyone can enrol, including students, professionals, job seekers, career changers, and organisations. Most courses do not require previous experience, making them accessible to learners at all levels.
Discover Training offers courses across multiple sectors, including business, health and safety, compliance, leadership, IT, personal development, and professional skills training.
You will have 14 days to revoke your Course purchase from your purchase date. Regrettably, refunds are not allowed after your purchase have been approved, and materials have been posted to the student’s dashboard or accessed.
Yes, learners receive a downloadable digital certificate upon successful completion, suitable for CPD records, CVs, and professional portfolios.
14-Day Money-Back Guarantee