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 Beginner's in Python or Beginner's Intersented in Developing Projects In Python or Beginner's 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 Beginner's in Python or Beginner's Intersented in Developing Projects In Python or Beginner's 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
- Beginner's in Python
- Beginner's Intersented in Developing Projects In Python
- Beginner's in Python Curious about Projects
- Beginner Python developers curious about AI,ML
- Beginner Python developers curious about data science
Target Audiences
- Beginner's in Python
- Beginner's Intersented in Developing Projects In Python
- Beginner's 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?
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According to the latest ratings from the software company TIOBE, Python is now the most popular programming language in the world.
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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
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Variable Names
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Assign Multiple Values
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Output Variables
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Global Variables
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Variable Exercises
6. Python Data Types
7. Python Numbers
8. Python Casting
9. Python Strings
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Python Strings
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Slicing Strings
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Modify Strings
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Concatenate Strings
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Format Strings
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Escape Characters
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String Methods
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String Exercises
10. Python Booleans
11. Python Operators
12. Python Lists
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Python Lists
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Access List Items
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Change List Items
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Add List Items
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Remove List Items
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Loop Lists
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List Comprehension
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Sort Lists
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Copy Lists
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Join Lists
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List Methods
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List Exercises
13.Python Tuples
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Python Tuples
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Access Tuples
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Update Tuples
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Unpack Tuples
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Loop Tuples
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Join Tuples
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Tuple Methods
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Tuple Exercises
14. Python Sets
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Python Sets
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Access Set Items
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Add Set Items
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Remove Set Items
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Loop Sets
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Join Sets
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Set Methods
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Set Exercises
15. Python Dictionaries
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Python Dictionaries
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Access Items
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Change Items
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Add Items
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Remove Items
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Loop Dictionaries
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Copy Dictionaries
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Nested Dictionaries
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Dictionary Methods
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Dictionary Exercise
16. Python If…Else
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 Try…Except
33. Python User Input
34. Python String Formatting
35. File Handling
36. Python File Handling
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Python Read Files
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Python Write/Create Files
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Python Delete Files
37. Projects Section
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Screenshot Application
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Screenshot Application With GUI Interface
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Password Generator
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Email Sender Application
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COVID-19 Updater / Notifier Bot
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OCR – Image To Text
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Chrome Automation
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Text To Speech
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Speech To Text
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Webcam Application
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Screen Recorder
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Face Detection
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Weather Application
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URL Shortener
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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
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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!
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