Python Pro - The Complete Python Bootcamp for Noobs

Python Pro : The Complete Python Bootcamp for Noobs, available at $19.99, has an average rating of 4.5, with 47 lectures, 2 quizzes, based on 6 reviews, and has 533 subscribers.

You will learn about You will learn the basics of python programming language from scratch You will master the Python programming language by building unique projects You will be able to code in python even if you have never heard about programming Learn to write professional Python code Learn To Create Own Projects With Python Build 25+ Real Useful Python Application PRO Python Tricks and Tips This course is ideal for individuals who are Beginners in Python or Beginners Intersented in Developing Projects In Python or Beginners in Python Curious about Projects or Beginner Python developers curious about AI,ML or Beginner Python developers curious about data science It is particularly useful for Beginners in Python or Beginners Intersented in Developing Projects In Python or Beginners in Python Curious about Projects or Beginner Python developers curious about AI,ML or Beginner Python developers curious about data science.

Enroll now: Python Pro : The Complete Python Bootcamp for Noobs

Summary

Title: Python Pro : The Complete Python Bootcamp for Noobs

Price: $19.99

Average Rating: 4.5

Number of Lectures: 47

Number of Quizzes: 2

Number of Published Lectures: 47

Number of Published Quizzes: 2

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn the basics of python programming language from scratch

You will master the Python programming language by building unique projects

You will be able to code in python even if you have never heard about programming

Learn to write professional Python code

Learn To Create Own Projects With Python

Build 25+ Real Useful Python Application

PRO Python Tricks and Tips

Who Should Attend

Beginners in Python

Beginners Intersented in Developing Projects In Python

Beginners in Python Curious about Projects

Beginner Python developers curious about AI,ML

Beginner Python developers curious about data science

Target Audiences

Beginners in Python

Beginners Intersented in Developing Projects In Python

Beginners in Python Curious about Projects

Beginner Python developers curious about AI,ML

Beginner Python developers curious about data science

Welcome to Python Pro: The Complete Python Bootcamp for Noobs, the only course you need to learn to code with Python.

Why learn Python?

1. According to the latest ratings from the software company TIOBE, Python is now the most popular programming language in the world.

2. The python language has a very simple syntax(way to write it) to learn and it is one of the most powerful languages to learn since it can be used for a variety of things.

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.

Course Curriculum

1. Python Introduction

2. Python Installation

3. Python Syntax

4. Python Comments

5. Python Variables

Variable Names

Assign Multiple Values

Output Variables

Global Variables

Variable Exercises

6. Python Data Types

7. Python Numbers

8. Python Casting

9. Python Strings

Python Strings

Slicing Strings

Modify Strings

Concatenate Strings

Format Strings

Escape Characters

String Methods

String Exercises

10. Python Booleans

11. Python Operators

12. Python Lists

Python Lists

Access List Items

Change List Items

Add List Items

Remove List Items

Loop Lists

List Comprehension

Sort Lists

Copy Lists

Join Lists

List Methods

List Exercises

13.Python Tuples

Python Tuples

Access Tuples

Update Tuples

Unpack Tuples

Loop Tuples

Join Tuples

Tuple Methods

Tuple Exercises

14. Python Sets

Python Sets

Access Set Items

Add Set Items

Remove Set Items

Loop Sets

Join Sets

Set Methods

Set Exercises

15. Python Dictionaries

Python Dictionaries

Access Items

Change Items

Add Items

Remove Items

Loop Dictionaries

Copy Dictionaries

Nested Dictionaries

Dictionary Methods

Dictionary Exercise

16. Python IfElse

17. Python While Loops

18. Python For Loops

19. Python Functions

20. Python Lambda

21. Python Arrays

22. Python Classes/Objects

23. Python Inheritance

24. Python Iterators

25. Python Scope

26. Python Modules

27. Python Dates

28. Python Math

29. Python JSON

30. Python RegEx

31. Python PIP

32. Python TryExcept

33. Python User Input

34. Python String Formatting

35. File Handling

36. Python File Handling

Python Read Files

Python Write/Create Files

Python Delete Files

37. Projects Section

Screenshot Application

Screenshot Application With GUI Interface

Password Generator

Email Sender Application

COVID-19 Updater / Notifier Bot

OCR – Image To Text

Chrome Automation

Text To Speech

Speech To Text

Webcam Application

Screen Recorder

Face Detection

Weather Application

URL Shortener

Internet Speed Test

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is Python?

Lecture 3: Python Development Environment Setup

Lecture 4: Install Sublime Text

Chapter 2: Basics of Python

Lecture 1: Comments

Lecture 2: Comments in Python Article

Chapter 3: Variables

Lecture 1: Variables

Lecture 2: Variables in Python Article

Lecture 3: Assign Multiple Values

Chapter 4: Data Types in Python

Lecture 1: Data Types in Python

Lecture 2: Data Types in Python

Chapter 5: Numbers

Lecture 1: Numbers

Chapter 6: Operators in Python

Lecture 1: Arithmetic Operators

Lecture 2: Assignment Operators

Lecture 3: Comparison & Logical Operators

Lecture 4: Identity & Membership Operators

Lecture 5: Bitwise Operators

Chapter 7: Strings

Lecture 1: Strings – I

Lecture 2: Strings – II

Chapter 8: Python Projects

Lecture 1: Python Projects Intro

Lecture 2: Email Automation-I

Lecture 3: Email Automation-II

Lecture 4: Work Setup Automation-I

Lecture 5: Work Setup Automation-II

Lecture 6: Convert .py To .exe

Lecture 7: Run .exe on Bootup

Lecture 8: ScreenShot Application

Lecture 9: ScreenShot GUI Application

Lecture 10: Password Generator Application -I

Lecture 11: Password Generator Application -II

Lecture 12: Url Shortener Application

Lecture 13: Wikipedia Search Application – I

Lecture 14: Wikipedia Search Application – II

Lecture 15: Windows Notify Application

Lecture 16: Youtube downloader

Lecture 17: Audio Extractor

Lecture 18: News Updater

Lecture 19: Camera Application

Lecture 20: QR-Code Application

Chapter 9: Open-CV

Lecture 1: Installing Open-CV

Lecture 2: Read & Write

Chapter 10: Django Web Development

Lecture 1: First Django Project

Lecture 2: Project 1 :- Password Generator Applictation Using Django – Part-1

Lecture 3: Password Generator Applictation Using Django – Part-2

Lecture 4: Password Generator Applictation Using Django – Part-3

Lecture 5: Project 2 :- Weather Applictation Using Django

Chapter 11: Milestone Project : J.A.R.V.I.S 2.0 Advance AI Assistant

Lecture 1: Advance AI Assistant (JARVIS 2.0) With Python

Instructors

Arbaz Khan
Artificial Intelligence Enthusiast || Python Developer

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 4 votes

5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!