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About This Course
In this practical, hands-on course, our main objective is to give you the education not just to understand the ins and outs of Python Programming, but also to learn exactly how the software development industry works, the different roles within a team, and how to land a Python Programming job without a degree.
Blending practical work with solid theoretical training, we take you from the basics of Python Programming to mastery, giving you the training you need not just to create software programs, scrape websites, and build automations, but also the foundational understanding of data science and visualization so you can become a well-rounded Python Programmer.
We understand that theory is important to build a solid foundation. We understand that theory alone isn’t going to get the job done. That’s why this course is packed with practical hands-on examples that you can follow step by step.
Even if you already have some coding experience, or want to learn about the advanced features of Python, this course is for you! In this course, you’ll learn Python 3.
Python is the number one programming language choice for machine learning, data science, and artificial intelligence. In order to get those high paying programming jobs, you need the skills and knowledge of how to become an expert Python Programmer, and that’s exactly what you’ll learn in this course.
Together, we’re going to give you the foundational education that you need to know not just on how to write code in Python, create various scripts and softwares but also how to get paid for your newly developed programming skills.
Who this course is for:
- Students who want to learn Python Programming from A-Z
Our Promise to You
By the end of this course, you will have learned Python Programming.
30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today and learn more about web development using Python Programming.
Course Curriculum
| Section 1 - Introduction | |||
| Intro To Python Programming | 00:00:00 | ||
| What Is Python Programming | 00:00:00 | ||
| Who Is This Course For | 00:00:00 | ||
| Python Marketplace | 00:00:00 | ||
| Python Job Opportunities | 00:00:00 | ||
| Python Job Roles | 00:00:00 | ||
| Python Course Structure | 00:00:00 | ||
| Getting A Python Job Without A Degree | 00:00:00 | ||
| Section 2 - Getting Familiar With Python | |||
| Getting Familiar With Python – Overview | 00:00:00 | ||
| Installing Python In Windows | 00:00:00 | ||
| Anaconda And Jupyter Notebooks 1 | 00:00:00 | ||
| Anaconda And Jupyter Notebooks 2 | 00:00:00 | ||
| Python Syntax | 00:00:00 | ||
| Line Structure 1 | 00:00:00 | ||
| Line Structure 2 | 00:00:00 | ||
| Comments | 00:00:00 | ||
| Joining Lines | 00:00:00 | ||
| Multiple Statements On A Single Line | 00:00:00 | ||
| Indentation | 00:00:00 | ||
| Section 3 - Python Data Types | |||
| Python Basic Data Types – Overview | 00:00:00 | ||
| Python Variables | 00:00:00 | ||
| Integers And Float | 00:00:00 | ||
| Strings Overview | 00:00:00 | ||
| String Manipulation | 00:00:00 | ||
| String Indexing | 00:00:00 | ||
| String Slicing | 00:00:00 | ||
| Booleans | 00:00:00 | ||
| Printing | 00:00:00 | ||
| Section 4 - Python Operators | |||
| Python Operators – Overview | 00:00:00 | ||
| Arithmetic Operators | 00:00:00 | ||
| Assignment Operators | 00:00:00 | ||
| Comparison Operators | 00:00:00 | ||
| Logical Operators | 00:00:00 | ||
| Identity Operators | 00:00:00 | ||
| Membership Operators | 00:00:00 | ||
| Bitwise Operators | 00:00:00 | ||
| Section 5 - Python Advanced Data Types | |||
| Python Advanced Data Types – Overview | 00:00:00 | ||
| List Overview | 00:00:00 | ||
| List Indexing And Slicing | 00:00:00 | ||
| Tuples | 00:00:00 | ||
| Sets | 00:00:00 | ||
| Dictionary | 00:00:00 | ||
| When To Use Each One | 00:00:00 | ||
| Compound Data Types | 00:00:00 | ||
| Section 6 - Control Flow Part 1 | |||
| Control Flow Part 1 – Overview | 00:00:00 | ||
| Introduction To Control Flow | 00:00:00 | ||
| Basic Conditional Statements | 00:00:00 | ||
| More Conditional Statements | 00:00:00 | ||
| For Loops | 00:00:00 | ||
| While Loops | 00:00:00 | ||
| Section 7 - Control Flow Part 2 | |||
| Control Flow Part 2 – Overview | 00:00:00 | ||
| Break Statements | 00:00:00 | ||
| Continue Statements | 00:00:00 | ||
| Zip Function | 00:00:00 | ||
| Enumerate Function | 00:00:00 | ||
| List Comprehension | 00:00:00 | ||
| Section 8 - Introduction To Functions | |||
| Python Functions – Overview | 00:00:00 | ||
| Introduction To Functions | 00:00:00 | ||
| Python Help Function | 00:00:00 | ||
| Defining Functions | 00:00:00 | ||
| Variable Scope | 00:00:00 | ||
| Doc Strings | 00:00:00 | ||
| Section 9 - Error Handling And User Input | |||
| Error Handling And User Input – Overview | 00:00:00 | ||
| Introduction To Error Handling | 00:00:00 | ||
| User Input | 00:00:00 | ||
| Syntax Errors | 00:00:00 | ||
| Exceptions | 00:00:00 | ||
| Handling Exceptions 1 | 00:00:00 | ||
| Handling Exceptions 2 | 00:00:00 | ||
| Section 10 - Python Advanced Functions | |||
| Python Advanced Functions – Overview | 00:00:00 | ||
| Lambda Functions | 00:00:00 | ||
| Functions args And kwargs | 00:00:00 | ||
| Iterators | 00:00:00 | ||
| Generators And Yield | 00:00:00 | ||
| Map Functions | 00:00:00 | ||
| Filter | 00:00:00 | ||
| Section 11 - Scripting And Libraries | |||
| Scripting And Libraries – Overview | 00:00:00 | ||
| What Is A Script | 00:00:00 | ||
| What Is An IDE | 00:00:00 | ||
| What Is A Text Editor | 00:00:00 | ||
| From Jupyter To VSCode 1 | 00:00:00 | ||
| From Jupyter To VSCode 2 | 00:00:00 | ||
| Importing Scripts | 00:00:00 | ||
| Standard Libraries | 00:00:00 | ||
| Third Party Libraries | 00:00:00 | ||
| Section 12 - NumPy | |||
| NumPy – Overview | 00:00:00 | ||
| What Is NumPy | 00:00:00 | ||
| Why NumPy | 00:00:00 | ||
| NumPy Arrays | 00:00:00 | ||
| Reshaping, Modifying And Accessing NumPy Arrays | 00:00:00 | ||
| Slicing And Copying | 00:00:00 | ||
| Inserting , Deleting, Appending | 00:00:00 | ||
| Logical Indexing | 00:00:00 | ||
| Broadcasting | 00:00:00 | ||
| Section 13 - Career In Python | |||
| Starting A Career In Python Overview | 00:00:00 | ||
| Getting Started With Freelancing | 00:00:00 | ||
| Building A Brand | 00:00:00 | ||
| Personal Branding | 00:00:00 | ||
| Importance Of A Website Or A Blog | 00:00:00 | ||
| Networking | 00:00:00 | ||
| Top Freelance Sites | 00:00:00 | ||
| Creating A Python Developer Resume | 00:00:00 | ||
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