Python Programming Beginners Tutorial : Python 3 Programming
Python Programming Beginners Tutorial : Python 3 Programming, available at $59.99, has an average rating of 4.15, with 100 lectures, based on 2357 reviews, and has 106318 subscribers.
You will learn about Develop a basic understanding of programming and the Python programming language. Write programs and solve problems using the logical constructs of Python. Demonstrate significant experience with the Python program development environment. Understand the concepts of Object-Oriented Programming used in Python: Classes, Attributes, Inheritance, Polymorphism. Work with the Python standard library. This course is ideal for individuals who are This Python course is for beginner and intermediate levels. or Anybody can take this course even without any prior programming experience. or Python does not have strict syntax rules and it reads like plain English and simple to understand for anyone who is new to programming. If you’re looking to learn coding or want to pick up another programming language, Python is a good choice. It is particularly useful for This Python course is for beginner and intermediate levels. or Anybody can take this course even without any prior programming experience. or Python does not have strict syntax rules and it reads like plain English and simple to understand for anyone who is new to programming. If you’re looking to learn coding or want to pick up another programming language, Python is a good choice.
Enroll now: Python Programming Beginners Tutorial : Python 3 Programming
Summary
Title: Python Programming Beginners Tutorial : Python 3 Programming
Price: $59.99
Average Rating: 4.15
Number of Lectures: 100
Number of Published Lectures: 100
Number of Curriculum Items: 100
Number of Published Curriculum Objects: 100
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Develop a basic understanding of programming and the Python programming language.
- Write programs and solve problems using the logical constructs of Python.
- Demonstrate significant experience with the Python program development environment.
- Understand the concepts of Object-Oriented Programming used in Python: Classes, Attributes, Inheritance, Polymorphism.
- Work with the Python standard library.
Who Should Attend
- This Python course is for beginner and intermediate levels.
- Anybody can take this course even without any prior programming experience.
- Python does not have strict syntax rules and it reads like plain English and simple to understand for anyone who is new to programming. If you’re looking to learn coding or want to pick up another programming language, Python is a good choice.
Target Audiences
- This Python course is for beginner and intermediate levels.
- Anybody can take this course even without any prior programming experience.
- Python does not have strict syntax rules and it reads like plain English and simple to understand for anyone who is new to programming. If you’re looking to learn coding or want to pick up another programming language, Python is a good choice.
Learn Python from the basics – A Layman’s guide to Python
This Python course is for beginners– anybody can take this course even without any prior programming experience. Every topic has been explained in detail and in a way that is easy to understand using examples. You can learn the course at your pace and practice the exercises provided at the end of the topics.
In the tutorials, the programming examples are demonstrated either using the Anaconda Jupyter Notebook or the Python IDLE application.
We recommend you to download the latest version (3.6) of Python from the Anaconda Distribution website (covered in the tutorial).
Please feel free to ask questions on any issue that you may face while taking the course, our team would be glad to help you.
#python #programming #beginners #programmers
Course Curriculum
Chapter 1: Python Programming Tutorial – Introduction Topics
Lecture 1: Introduction to Python Programming For Beginners
Lecture 2: Integrated Development Environment (IDE)
Lecture 3: Interpreter modes
Lecture 4: Anaconda Distribution – Install Python
Lecture 5: Anaconda Jupyter Notebook
Lecture 6: Python 2 version vs Python 3
Chapter 2: Numeric datatype
Lecture 1: Numeric datatype
Lecture 2: Conversion from integer to float
Lecture 3: Rules to define variables
Lecture 4: Changing the datatype of a variable
Lecture 5: Immutable datatypes
Lecture 6: Arithmetic Operators
Lecture 7: Compound operator and Operator precedence
Lecture 8: Division
Lecture 9: Math module
Lecture 10: Exercise
Chapter 3: Built-in Functions
Lecture 1: File IO function
Lecture 2: Print Function
Lecture 3: Input Function
Chapter 4: Other useful functions
Lecture 1: Help function and tab completion
Lecture 2: Range function
Chapter 5: Strings
Lecture 1: Strings
Lecture 2: Convert a number to a string
Lecture 3: Slicing a string
Lecture 4: Immutable datatypes
Lecture 5: Formatting strings
Lecture 6: String methods
Lecture 7: Iterating over a string
Lecture 8: String membership test
Lecture 9: Exercise
Chapter 6: Boolean datatype
Lecture 1: Boolean
Lecture 2: Exercise
Chapter 7: Lists
Lecture 1: Lists
Lecture 2: Slicing lists
Lecture 3: Slicing lists in reverse direction
Lecture 4: List comprehension
Lecture 5: List methods
Lecture 6: Convert list to string
Lecture 7: Nested Lists
Lecture 8: List Aliasing and Cloning
Lecture 9: Exercise
Chapter 8: Dictionary
Lecture 1: Dictionary
Lecture 2: Dictionary methods
Lecture 3: Dictionary membership operators
Lecture 4: Exercise
Chapter 9: Tuples
Lecture 1: Tuples
Lecture 2: Are Tuples mutable or immutable datatypes?
Lecture 3: Tuple methods
Lecture 4: Tuple packing and unpacking
Lecture 5: Iterating a tuple and operations on tuples
Lecture 6: Exercise
Chapter 10: Sets
Lecture 1: Sets
Lecture 2: Exercise
Chapter 11: Conditional Statements
Lecture 1: If statement
Lecture 2: If-elif-else statement
Lecture 3: Exercise
Lecture 4: For loop
Lecture 5: Continue, pass statements
Lecture 6: While loop
Lecture 7: Exercise
Chapter 12: User defined functions
Lecture 1: Functions
Lecture 2: Return Statement
Lecture 3: Parameter vs Argument
Lecture 4: Passing Arguments
Lecture 5: Main function
Lecture 6: args-kwargs
Lecture 7: Lambda function
Lecture 8: Map reduce filter functions
Lecture 9: Namespaces and Scope of variables
Lecture 10: Exercise
Chapter 13: Object Oriented Programming
Lecture 1: Object Oriented Programming
Lecture 2: Objects and Classes
Lecture 3: Defining Classes and methods in Jupyter NB
Lecture 4: Inheritance
Lecture 5: Python object
Lecture 6: Polymorphism
Lecture 7: Encapsulation
Lecture 8: Name Mangling
Lecture 9: Class methods and Static methods
Lecture 10: Python __str__ and __repr__ methods
Lecture 11: Exercise
Chapter 14: Package Management System – Pip
Lecture 1: Pip
Lecture 2: Virtual Environment part1
Lecture 3: Virtual Environment part2
Chapter 15: Modules and Packages
Lecture 1: Modules and Packages
Instructors
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Ajay Tech
IT Courses Data Science, Machine Learning, React, Full Stack
Rating Distribution
- 1 stars: 60 votes
- 2 stars: 85 votes
- 3 stars: 426 votes
- 4 stars: 898 votes
- 5 stars: 888 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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