Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Course Curriculum
Introduction to Python Programming from A-Z 9 lectures
Intro To Python Section Overview
00:06:00
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
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
00:05:00
Indentation
00:08:00
Basic Data Types
Basic Data Types Section Overview
00:08:00
Python Variables
00:08:00
Integers and Floats
00:08:00
String Overview
00:10:00
String Manipulation
00:07:00
String Indexing
00:04:00
String Slicing
00:08:00
Boolean
00:05:00
Printing
00:10:00
Mini Project 1 : Letter Counter
00:20:00
Python Operators
Python Operators Section Overview
00:04:00
Arithmetic Operators
00:08:00
Comparison Operators
00:09:00
Logical Operators
00:13:00
Identity Operators
00:05:00
Membership Operators
00:02:00
Bitwise Operators
00:08:00
Advanced Data Types
Python Advanced Data Types Section Overview
00:11:00
List Overview
00:05:00
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
00:03:00
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
00:05:00
For Loops
00:10:00
Control Flow Part 2
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
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
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
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
Python Scripting and Libraries
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
Importing Scripts
00:03:00
Standard Libraries
00:04:00
Third Party Libraries
00:06:00
NumPy
NumPy Section Overview
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
Pandas
Intro to Pandas
00:17:00
Pandas DataFrame
00:17:00
Pandas DataFrame Manipulation
00:13:00
Dealing with Missing Values
00:10:00
Intro 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
Advanced OOP
Python Decorators
00:27:00
Class Method Decorator
00:07:00
Static Methods
00:10:00
Inheritance from A to Z
00:21:00
Starting a Career in Python
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
Creating A Python Developer Resume
00:06:00
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