Python Tutorial for Beginners | Learn Python Programming
Python Tutorial for Beginners | Learn Python Programming, available at $54.99, has an average rating of 1, with 41 lectures, 1 quizzes, based on 1 reviews, and has 1 subscribers.
You will learn about Master Python Basics Dive into Data Structures to handle data Learn Object-Oriented Programming with python Advanced Python Features Work with Real-world Libraries Build and Manage Projects This course is ideal for individuals who are beginner python developer or Developers who curious about python It is particularly useful for beginner python developer or Developers who curious about python.
Enroll now: Python Tutorial for Beginners | Learn Python Programming
Summary
Title: Python Tutorial for Beginners | Learn Python Programming
Price: $54.99
Average Rating: 1
Number of Lectures: 41
Number of Quizzes: 1
Number of Published Lectures: 41
Number of Published Quizzes: 1
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Master Python Basics
- Dive into Data Structures to handle data
- Learn Object-Oriented Programming with python
- Advanced Python Features
- Work with Real-world Libraries
- Build and Manage Projects
Who Should Attend
- beginner python developer
- Developers who curious about python
Target Audiences
- beginner python developer
- Developers who curious about python
I welcome you all to this amazing course. Hope the learning would add value to your knowledge and you will learn about Python Tutorial for Beginners.
Wishing you a happy learning. Please do comment and provide feedback on the course.
This Python crash course is designed for beginners and intermediate learners who want to master Python programming from the ground up. Whether you’re new to coding or looking to strengthen your existing Python skills, this course offers a comprehensive journey through the language’s core concepts and advanced features.
Prerequisites: A basic understanding of programming concepts and familiarity with computers is recommended but not required. No prior knowledge of Python is necessary.
Throughout the course, you’ll start with the basics, including Python syntax, data types, and control flow. You’ll then progress to more complex topics such as data structures, object-oriented programming (OOP), and advanced Python features like decorators and generators. The course also covers practical aspects like working with external libraries, managing virtual environments, and building and using custom modules.
What You’ll Learn: By the end of this course, you’ll be proficient in Python, capable of writing efficient code, and equipped with the skills to tackle real-world programming challenges. You’ll have hands-on experience with popular Python libraries, understand how to manage projects and dependencies, and be able to apply advanced programming techniques to create robust and scalable applications. Learn Modules – NumPy, Math, Data Structure ,file handling using pandas apart from it getting knowledge on functional and Object-Oriented Programming with python
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Introduction to Python
Lecture 1: Introduction to Python
Lecture 2: Setup Python Environment | Install python
Chapter 3: Python Basics
Lecture 1: Variables in Python
Lecture 2: Operators in Python
Lecture 3: User Input in python
Lecture 4: Conditional Statements (if, elif, else) in python
Chapter 4: Data Structures/ Data Handling in python
Lecture 1: List in Python
Lecture 2: Tuple And Set in Python
Lecture 3: Dictionary in Python
Lecture 4: For Loop in Pyhton
Lecture 5: While Loop in Python
Lecture 6: Break And Continue in Python
Lecture 7: Array And NumPy Array in Python
Lecture 8: Function in Python
Lecture 9: Variable Length (**Perm) in Python
Lecture 10: Global Variable in Pytho
Lecture 11: Lambda Function in Python
Chapter 5: Advance Data Handling in python
Lecture 1: List Comprehensions in Python
Lecture 2: Dictionary Comprehensions in Python
Lecture 3: Everything About String in Python
Lecture 4: Exception Handling in Python
Lecture 5: File Handling with Try catch in Python
Chapter 6: Advanced Python Concepts
Lecture 1: Decorators in Python
Lecture 2: Generators in Python
Lecture 3: Module in Python
Lecture 4: Python Special Variable __Name__
Chapter 7: Object-Oriented Programming (OOP)
Lecture 1: Oops in Python
Lecture 2: Class And Object in Python
Lecture 3: Python Special Variable __Init__ ( Constructor in Python)
Lecture 4: Type Of Variables And Methods in Python
Lecture 5: Nested Class Or Inner Class in Python
Lecture 6: Inheritance in Python | MRO(Method Resolution Order) in python
Lecture 7: Duck typing in python | polymorphism in python
Lecture 8: Operator overloading in python
Lecture 9: Method overloading and Method overriding in python
Lecture 10: Abstract class and Abstract method in python | ABCs in python
Lecture 11: Mutithreading in python
Chapter 8: Working with External Libraries
Lecture 1: External Libraries in Python | Pandas Library in python
Lecture 2: Draw Indian Flag using Python with NumPy and Matplotlib python Library
Chapter 9: Build a Online Python Compiler with Flask
Lecture 1: Build a Online Python Compiler with Flask
Chapter 10: Practice Test
Instructors
-
TheDotNet Office
Full stack developer
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 0 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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