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Become a professional Python Developer and learn how to easily create programs, apps, scripts, games and so much more...

£46.66 inc. VAT
Course Access

1 year

Last Updated

August 10, 2023

Students Enrolled


Course Duration

16 hours, 39 minutes

Course Instructor
This Python Programming from A to Z  course will help you gain the expertise to create diverse programs, apps, scripts, games, and more using Python and build your career on it! Juan Galvan's hands-on approach will equip you with an in-depth understanding of Python Programming and familiarise you with the inner workings of the software development industry. We'll explore different team roles and guide you on securing a Python Programming job even without a formal degree. Throughout the course, we perfectly balance theoretical knowledge and practical application. Starting from the fundamentals of Python Programming, we'll take you on a journey to mastery. You will learn to develop software programs, web scraping, and automation and gain a strong foundation in data science and visualization, transforming you into a well-rounded Python Programmer. While we acknowledge the importance of theory in building a solid base, we know practice is vital to getting the job done. That's why our course is jam-packed with practical, hands-on examples that you can easily follow step by step. Regardless of whether you already possess coding experience or aspire to explore advanced Python features, this course caters to you! We'll focus on Python 3, the leading programming language for machine learning, data science, and artificial intelligence. Mastering Python will open doors to high-paying programming jobs in these cutting-edge fields. Our mission is to provide you with foundational knowledge on how to write code in Python and create various software solutions and monetize your newly developed programming skills. As you progress through the course, you'll find the content structured around six main areas:
1: PYTHON COURSE INTRO This intro section introduces the Python industry and marketplace, job opportunities and salaries, and the various Python job roles.
  • - Python Industry and Marketplace
  • - Python Job Opportunities
  • - Landing a Job w/o a Degree
  2: BASIC/ADVANCED DATA TYPES This section gives you a complete introduction to the Python basic and advanced data types with hands-on, step-by-step training.
  • - Python Variables
  • - Integers, Floats, and Complex Numbers
  • - Strings
  • - Operators
  • - Lists, Tuples, Sets & Dictionary
  3: PYTHON CONTROL FLOW This section gives you a full introduction to the Python Control Flow with hands-on, step-by-step training.
  • - Basic/Complex Conditional Statements
  • - For Loops, While Loops
  • - Break/Continue Statements
  • - Zip/Enumerate Keywords
  4: BASIC/ADVANCED FUNCTIONS This section gives you a full introduction to Python's basic and advanced functions with hands-on, step-by-step training.
  • - Help/Defining Function
  • - Error Handling
  • - Variable Scope
  • - Doc Strings
  • - Lambda Functions
  • - Iterators + Generators
  • - Map/Filter Functions
  5: SCRIPTING & LIBRARIES (includes NumPy, pandas) This section gives you a full introduction to scripting and libraries with hands-on, step-by-step training.
  • - Scripting Basics
  • - Python IDEs
  • - Python Text Editors
  • - Third-Party Libraries
  • - Numpy + Pandas
  • - Data Visualization
  • - Web scraping
  6: STARTING A CAREER IN PYTHON This section gives you a full introduction to starting a career as a Python Programmer with hands-on, step-by-step training.
  • - Building a Brand
  • - Personal Branding
  • - Freelancing + Freelance websites
  • - Importance of Having a website
  • - Networking
  • - Creating a Resume
  By the end of this course you’ll be a professional Python Programmer and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.

You will be able to do the following after completing this course:

  • How to become a professional Python Developer
  • How to land your first job as a Python Developer
  • How to use the basic Python structures: strings, lists, and dictionaries
  • How to write Python scripts to perform automated actions
  • How to use Python Object-Oriented Programming (OOP)
  • How to create your own Python programs from scratch
  • How to use core programming tools such as functions and loops
  • How to use variables to store, retrieve and calculate information

Who is this course beneficial for?

This course benefits a wide range of individuals interested in learning Python Programming and pursuing a career in software development, data science, or related fields. It caters to various skill levels and career aspirations. Here are some of the key beneficiaries of this course:  
  1. Data Enthusiasts: Aspiring data scientists or data analysts can benefit significantly from this course. Python's extensive data manipulation and analysis libraries make it a preferred language in the data science.
  2. Machine Learning Aspirants: If you are interested in machine learning and artificial intelligence, this course will teach you how to use Python libraries like TensorFlow and sci-kit-learn to build and deploy machine learning models.
  3. Data Science Professionals: Those already working in data science can further solidify their expertise and explore advanced Python concepts, ensuring they stay up-to-date with the latest developments in the field.
  4. Entrepreneurs and Innovators: If you have a business idea that involves software development, learning Python will empower you to create prototypes and minimum viable products (MVPs) and test your ideas quickly and efficiently.
  5. Career Changers: Individuals looking to switch careers and enter the tech industry will find Python a great starting point due to its popularity, demand, and ease of learning.
  6. Freelancers and Consultants: Freelancers and consultants can expand their service offerings and increase their earning potential by adding Python programming to their skill set.
  7. Anyone with Curiosity: Even if you are not necessarily pursuing a specific career in tech, learning Python can be a valuable skill for personal projects, automating tasks, and problem-solving in various domains.
Whether you aim to work for established companies, start your ventures, or engage in freelance projects, Python programming knowledge opens up a world of possibilities.

Why Choose this course?

  • Developed and delivered by Python Expert
  • Get Instant E-certificate
  • Fully online
  • Self-paced learning and laptop, tablet, and smartphone-friendly
  • 24/7 Support

Career prospect of this course on Python Programming:

Python Programming offers promising career prospects in various industries and job roles. As one of the most popular and versatile programming languages, Python has become a cornerstone of many modern technologies and applications. Here are some of the exciting career prospects for Python Programming:
  1. Software Developer: Python developers are in high demand to create software applications, web development, and backend systems. With Python's simplicity and powerful libraries, developers can build robust and scalable solutions efficiently.
  2. Data Scientist: Python is widely used in data science due to its rich ecosystem of data analysis and machine learning libraries, such as Pandas, NumPy, SciPy, and sci-kit-learn. Data scientists use Python to extract insights from data, build predictive models, and make data-driven decisions.
  3. Machine Learning Engineer: As machine learning gains traction across various industries, Python becomes essential for building and deploying machine learning models. Python's libraries, like TensorFlow and Keras, facilitate the development of sophisticated AI applications.
  4. AI Researcher: Python is widely adopted in intelligence research due to its flexibility and ease of experimentation. Researchers leverage Python to develop and test novel algorithmic models.
  5. Cybersecurity Specialist: Python is utilised in cybersecurity for tasks like penetration infrastructure, cloud infrastructure, and automated security processes.
  6. Cloud Engineer: Python is widely economically managing cloud infrastructure, automating cloud-related tasks, and interacting with cloud APIs. Cloud engineers leverage Python for efficient cloud resource management.
  7. Academic Research: Python's ease of use and extensive libraries for different clients and industries choice for the researchers in various academic research for simulations, data analysis, and scientific computing.
  8. Financial Analyst: Python's data analysis and visualisation capabilities make it popular in finance. Financial analysts use Python to analyse market flow models and make investment decisions.
  9. Freelancing and Consulting: Python developers often find opportunities to work as freelancers or consultants due to the language's versatility and widespread adoption. They can take on various projects for different clients and industries, ranging from web development to data analysis.
Python Programming's diverse applications and continuous growth in popularity ensure that professionals with Python skills will continue to have rewarding career opportunities across various domains. As technology advances, Python's relevance and demand will likely remain strong, making it an excellent choice for aspiring and experienced developers.

Industry Expert Instructor

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Course Content

    • Intro To Python Section Overview FREE 00:05:00
    • What is Python Programming? FREE 00:10:00
    • Who is This Course For? FREE 00:05:00
    • Python Programming Marketplace FREE 00:06:00
    • Python Job Opportunities FREE 00:05:00
    • How To Land a Python Job Without a Degree FREE 00:08:00
    • Python Programmer Job Roles FREE 00:09:00
    • Python from A-Z Course Structure FREE 00:04:00
    • Resources – Python Programming 00:10:00
    • 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
    • Python Syntax 00:02:00
    • Line Structure 00:03:00
    • Line Structure Exercise 00:07:00
    • Comments 00:05:00
    • Joining Lines 00:05:00
    • Multiple Statements on a Single Line 00:03:00
    • Indentation 00:07:00
    • Basic Data Types Section Overview 00:08:00
    • Python Variables 00:07:00
    • Integers and Float 00:06:00
    • String Overview 00:10:00
    • String Manipulation 00:07:00
    • String Indexing 00:04:00
    • String Slicing 00:08:00
    • Boolean 00:03:00
    • Printing 00:10:00
    • Mini Project 1 : Letter Counter 00:20:00
    • Python Operators Section Overview 00:04:00
    • Arithmetic Operators 00:11:00
    • Assignment Operators 00:05:00
    • Comparison Operators 00:09:00
    • Logical Operators 00:16:00
    • Identity Operators 00:05:00
    • Membership Operators 00:02:00
    • Bitwise Operators 00:11:00
    • Python Advanced Data Types Section Overview 00:11:00
    • List Overview 00:04:00
    • List Slicing and Indexing 00:04:00
    • Tuples 00:02:00
    • Sets 00:06:00
    • Dictionaries 00:11:00
    • When to use each one? 00:05:00
    • Compound Data Types 00:05:00
    • Control Flow Part 1 Section Overview 00:15:00
    • Intro to Control Flow 00:01:00
    • Basic Conditional Statements in Python 00:14:00
    • More Conditional Statements 00:05:00
    • Python- For Loops 00:10:00
    • While Loops in Python 00:12:00
    • Control Flow Part 2 Section Overview 00:02:00
    • Break Statements in Python 00:08:00
    • Continue Statements 00:05:00
    • Zip Function 00:07:00
    • Enumerate Function 00:04:00
    • List Comprehension 00:04:00
    • 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
    • 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
    • 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 00:08:00
    • 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
    • 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
    • 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
    • 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
    • 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 00:20:00
    • 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
    • Python Programming – Final Exam 01:00:00
    • Get Your Certificate & Transcript 00:00:00
    • Obtain Your Student ID Card 00:01:00

Course Reviews


6 ratings
  • 5 stars3
  • 4 stars0
  • 3 stars2
  • 2 stars1
  • 1 stars0
  1. Very good.


    Very good course, easy to navigate

  2. Tomasz BiedronJuly 26, 2021 at 1:56 am

    really good


    very usefull, great tutors

  3. Oluwatimilehin ShoretireMay 17, 2021 at 7:22 am

    Exceptional introduction


    Exceptional introduction

  4. Python Programming


    Decent content, would benefit from better resources.

  5. difficult to grasp,


    I need to see the whole page to understand whats going on

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