Python Complete Course For Python Beginners

Python Complete Course For Python Beginners, available at $54.99, has an average rating of 4.24, with 51 lectures, based on 4173 reviews, and has 306290 subscribers.

You will learn about Go from Beginner to Advanced in Python Programming by learning all of the basics to Object Orientated Programming. Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts Use variables to store, retrieve and calculate information Utilize core programming tools such as functions and loops This course is ideal for individuals who are For Complete Programming Beginners or For People New to Python or For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development It is particularly useful for For Complete Programming Beginners or For People New to Python or For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development.

Enroll now: Python Complete Course For Python Beginners

Summary

Title: Python Complete Course For Python Beginners

Price: $54.99

Average Rating: 4.24

Number of Lectures: 51

Number of Published Lectures: 51

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 51

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will Learn

Go from Beginner to Advanced in Python Programming by learning all of the basics to Object Orientated Programming.

Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts

Use variables to store, retrieve and calculate information

Utilize core programming tools such as functions and loops

Who Should Attend

For Complete Programming Beginners

For People New to Python

For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development

Target Audiences

For Complete Programming Beginners

For People New to Python

For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development

Learn Python From Beginner To Advanced Level

I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

The course starts with the basics, including Python fundamentals, programming, and user interaction.

The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

The topics covered in this course are:

* Beginner to Expert Python contents:

Array implementation

File methods

Keywords and Identifiers

Python Tuples

Python Basics

Python Fundamentals

Data Structures

Object-Oriented Programming with Python

Functional Programming with Python

Lambdas

Decorators

Generators

Testing in Python

Debugging

Error Handling

Regular Expressions

Comprehensions

Modules

See you inside the course!

Course Curriculum

Chapter 1: Python Basics To Advanced

Lecture 1: Introduction Tutorial 1-PYTHON OVERVIEW

Lecture 2: Tutorial 1-Installing Anaconda

Lecture 3: Tutorial 2- Python Variables And Constants

Lecture 4: Tutorial 3- Python Class And Objects

Lecture 5: Tutorial 4- Python Array Implementation

Lecture 6: Tutorial 5-Python File Methods

Lecture 7: Tutorial 6-Python Keywords And Identifiers

Lecture 8: Tutorial 7 -Python Tuples

Lecture 9: Tutorial 8 -Python Sets

Lecture 10: Tutorial 9-Python Different Modules

Lecture 11: Tutorial 10-Python Directory And File Management System

Lecture 12: Tutorial 11-python dictionary

Lecture 13: Tutorial 12- Python Strings

Lecture 14: Tutorial 13-Python Data Type Conversion

Lecture 15: Tutorial 14 -Python Numbers

Lecture 16: Tutorial 15-Python Namespace And Scope

Lecture 17: Tutorial 16 -Python Global,Local And Nonlocal variables

Lecture 18: Tutorial 17-Python Global Keyword

Lecture 19: Tutorial 18-Python Iterators

Lecture 20: Tutorial 19-Python Iterations Using for

Lecture 21: Tutorial 20-Python Inheritance

Lecture 22: Tutorial 21-Python Multiple Inheritance

Lecture 23: Tutorial 22-Python Function Arguments

Lecture 24: Tutorial 23-Python Functions

Lecture 25: Tutorial 24-Python break statement

Lecture 26: Tutorial 25-Python continue statement

Lecture 27: Tutorial 26-Python Errors And Exceptions

Lecture 28: Tutorial 27-Python Exceptions Try.except and finally

Lecture 29: Tutorial 28-Python User Defined Exception

Lecture 30: Tutorial 29–Python OOP Approach

Lecture 31: Tutorial 30-Python Nested Dictionary Implementation

Lecture 32: Tutorial 31-Python Operator Overloading

Lecture 33: Tutorial 32- Python Statements And Comments

Lecture 34: Tutorial 33-Python Pass Statement.

Lecture 35: Tutorial 34-Python Generators

Lecture 36: Tutorial 35-Python Decorators

Lecture 37: Tutorial 36–Python While Loop

Lecture 38: Tutorial 37-Use of if .elif and else

Lecture 39: Tutorial 38-Python Matrix Implementation

Lecture 40: Tutorial 39-Python Regular Expressions

Lecture 41: Tutorial 40- Python List Comprehension

Lecture 42: Tutorial 41-Python Recursion

Lecture 43: Tutorial 42-Python Input, Outpt And Import

Lecture 44: Tutorial 43-Python Read and Write Operations

Lecture 45: Tutorial 44-Python Different Looping Techniques

Lecture 46: Tutorial 45-Python Shallow Copy And Deep Copy

Lecture 47: Tutorial 46-python lamda functions

Lecture 48: Tutorial 47-PYTHON ASSERT

Lecture 49: Tutorial 48- Python @Property

Lecture 50: Tutorial 49-Python Closure

Lecture 51: Bonus Lecture

Instructors

Horizon Tech
Experienced Programming Instructors And Developers

Rating Distribution

1 stars: 146 votes

2 stars: 157 votes

3 stars: 745 votes

4 stars: 1492 votes

5 stars: 1633 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!