Python Programming: Beginner To Expert

Description

This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic.

After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.

So enrol in this course today to fast-track your career ladder.

You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.

There is no experience or previous qualifications required for enrolment on this Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds.

Our Python Programming: Beginner To Expert is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.

There is no time limit for completing this course, it can be studied in your own time at your own pace.

Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-

And much more!

18 sections • 121 lectures • 15:27:00 total length

•Intro To Python Section Overview: 00:05:00

•What is Python Programming: 00:10:00

•Who is This Course For: 00:05:00

•Python Programming Marketplace: 00:06:00

•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

•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: 00:05:00

•Multiple Statements on a Single Line: 00:05:00

•Indentation: 00:08:00

•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

•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

•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

•When to use each one?: 00:05:00

•Compound Data Types: 00:03:00

•Dictionaries: 00:11:00

•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: 00:05:00

•For Loops: 00:10:00

•While Loops: 00:12:00

•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

•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: 00:05:00

•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: 00:21:00

•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

•Resources - Python Programming: Beginner To Expert: 00:00:00

•Assignment - Python Programming: Beginner To Expert: 00:00:00