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 IFELIFELSE 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

Frequently Asked Questions

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