Complete Python Tutorial for Beginners
Complete Python Tutorial for Beginners, available at $64.99, has an average rating of 4.7, with 131 lectures, based on 245 reviews, and has 7366 subscribers.
You will learn about Learn the fundamentals of Python Object-Oriented Programming (OOP) in Python 3 Functional Programming in Python, Understand complex topics, like decorators, Lambda, filter, reduce and map. Python Exception Handling Work with Python Modules, Python pip Install Python Editors and IDEs like PyCharm, Idle, Jupyter Notebook, Spyder, Visual studio code, Terminal .. This course is ideal for individuals who are Anyone who wants to code or New Programmers and Developers or Beginners or Students It is particularly useful for Anyone who wants to code or New Programmers and Developers or Beginners or Students.
Enroll now: Complete Python Tutorial for Beginners
Summary
Title: Complete Python Tutorial for Beginners
Price: $64.99
Average Rating: 4.7
Number of Lectures: 131
Number of Published Lectures: 130
Number of Curriculum Items: 131
Number of Published Curriculum Objects: 130
Original Price: $189.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn the fundamentals of Python
- Object-Oriented Programming (OOP) in Python 3
- Functional Programming in Python,
- Understand complex topics, like decorators, Lambda, filter, reduce and map.
- Python Exception Handling
- Work with Python Modules, Python pip
- Install Python Editors and IDEs like PyCharm, Idle, Jupyter Notebook, Spyder, Visual studio code, Terminal ..
Who Should Attend
- Anyone who wants to code
- New Programmers and Developers
- Beginners
- Students
Target Audiences
- Anyone who wants to code
- New Programmers and Developers
- Beginners
- Students
Feel the real power of Pythonand programming! The course offers you a unique approach of learning how to code by solving real world problems. Throughout the course we will be understanding how to identify and formulate the problems, what is the key to a great app, we will learn how to efficiently adopt the problem for the computer and the most important that you will be writing a lot of code! The course is structured in a way that lectures are like labs where we study the material, do the quizzes, write programs and test them! The most important that you will be involved into work a lot in order to get the best experience!
Python is one of top 5 programming languages today. If you want to pursue a career, this language is a must for you.
This course has been created for beginners.
You will start the training from the ground up and will get to know the python language and its potential in and out.
In this Python for Beginners course, Instructor will teach you how to quickly write your first program in Python! You will also learn how to create custom modules and libraries
Take this course now online Python course and master your skill!
ENROLL NOW
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Python
Chapter 2: Python Setup
Lecture 1: How to Install Python 3 on Windows 10
Lecture 2: How to install Python 3 on Mac
Lecture 3: How to Install Python 3 on Windows 11
Chapter 3: Python Basics
Lecture 1: Basic Math, Mathematical Operators and Python Expressions
Lecture 2: Python Variables and Types
Lecture 3: Python print() and input() Function
Lecture 4: Python Built-in Functions and Built-in Module
Lecture 5: Creating and Executing your First Python Script (Run .py file)
Chapter 4: Install PyCharm ( Python IDE )
Lecture 1: Install PyCharm ( Python IDE ) on Windows 10 + First Project
Lecture 2: How To Install PyCharm In Mac
Lecture 3: How To Install PyCharm In Ubuntu 18.04 + Create and Run First Python Project
Lecture 4: How To Install PyCharm In Ubuntu 20.04 + Create and Run First Python Project
Chapter 5: Install Anaconda Python, Jupyter Notebook And Spyder
Lecture 1: Install Anaconda Python, Jupyter Notebook And Spyder on Windows 10
Lecture 2: Install Anaconda Python, Jupyter Notebook, Spyder on Ubuntu 18.04 Linux
Lecture 3: Install Anaconda Python, Jupyter Notebook, Spyder on Mac
Chapter 6: Python Strings
Lecture 1: Python Strings and Comments
Chapter 7: Python Operators
Lecture 1: Boolean, Comparison Operators and Logical Operators in Python
Lecture 2: Boolean, Comparison Operators and Logical Operators in Python
Chapter 8: Python Statements
Lecture 1: Python IF ELSE Statements
Lecture 2: If Else statements Code
Lecture 3: Python IF…ELIF…ELSE Statements + nested IF statements
Lecture 4: if..elif..else statements + nested IF statements
Chapter 9: Python collections
Lecture 1: Python Lists
Lecture 2: Python Lists Commands
Lecture 3: Python Tuples
Lecture 4: Python Tuples
Lecture 5: Python Sets
Lecture 6: Python Sets
Lecture 7: Python Dictionary
Lecture 8: Python Dictionary
Lecture 9: Python Slice and Negative index
Lecture 10: Python Slice and Negative index Commands
Chapter 10: Python Loops
Lecture 1: Python while Loop
Lecture 2: Python while Loop
Lecture 3: Python for Loop
Lecture 4: Python for Loop
Lecture 5: Loop Exercise
Lecture 6: Python break, continue statement
Lecture 7: Python break, continue statement code
Chapter 11: Python Functions
Lecture 1: Python Functions
Lecture 2: Python Functions code
Lecture 3: Default Arguments, *args and **kwargs (Variable-length Arguments)
Lecture 4: Default Arguments, *args and **kwargs (Variable-length Arguments)
Chapter 12: Object Oriented Programming In Python
Lecture 1: Introduction to Object-Oriented Programming (OOP)
Lecture 2: Classes and Objects in Python (OOP)
Lecture 3: python Class example
Lecture 4: python Class example
Lecture 5: Python __init__ and self in class
Lecture 6: __init__and_self_in_python_car.py
Lecture 7: __init__and_self_in_python_rectangle.py
Lecture 8: Is it possible to define multiple constructors in Python?
Lecture 9: Python Encapsulation
Lecture 10: rectangle_Encapsulation.py
Lecture 11: car_Encapsulation.py
Lecture 12: Private methods in Python
Lecture 13: public_and_private_members.py
Lecture 14: Python Inheritance
Lecture 15: Python_Inheritance_example.py
Lecture 16: How To Create Modules in Python 3
Lecture 17: Python Multiple Inheritance
Lecture 18: Python super()
Lecture 19: python_Super_built_in_functions_example.py
Lecture 20: Python Composition
Lecture 21: Python_Composition_Example.py
Lecture 22: Python Aggregation + Difference in Aggregation and Composition
Lecture 23: Python_Aggregation_example.py
Lecture 24: Python Abstract Classes
Lecture 25: Python_Abstract_Classes_example.py
Lecture 26: Python Operator Overloading
Lecture 27: python_operator_overloading.py
Chapter 13: Python Exception handling
Lecture 1: Python Exception handling + Python Try Except
Lecture 2: Python Exception handling Commands Examples
Lecture 3: python_exceptions_examope_code.py
Lecture 4: Try Except Else Finally (Python Exception handling)
Lecture 5: python_else_finally_exceptions_example.py
Lecture 6: Raising Exceptions In Python
Lecture 7: python_raise_exception_example.py
Lecture 8: Raising Custom Exceptions (Writing and Using Custom Exceptions)
Lecture 9: python_Raising_Custom_Exceptions_example.py
Chapter 14: if __name__ == "__main__"
Lecture 1: Idea behind : if __name__ == "__main__"
Chapter 15: Python Files I/O
Lecture 1: Create a Text File and Write in It Using Python
Lecture 2: Create_a_Text_File_and_Write_in_It_Using_Python_test.py
Lecture 3: Reading Files in Python
Lecture 4: Get Started with Python in Visual Studio Code on windows 10
Instructors
-
Yogesh Patel
Software Developer and Programming Enthusiast
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 4 votes
- 3 stars: 33 votes
- 4 stars: 111 votes
- 5 stars: 97 votes
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