Learn the 2020 Advanced Python Programming

Learn the 2020 Advanced Python Programming, available at $54.99, has an average rating of 4.4, with 95 lectures, based on 98 reviews, and has 3193 subscribers.

You will learn about Advance Python Programming in Python Make Advance Level Application using Advance Concepts Learn the in-depth intuition behind each concept This course is ideal for individuals who are Anyone who is interested in learning Advance Level Python or Anyone who wants to make real time Advance Level Application in Python or In-depth Python Concepts Explanation It is particularly useful for Anyone who is interested in learning Advance Level Python or Anyone who wants to make real time Advance Level Application in Python or In-depth Python Concepts Explanation.

Enroll now: Learn the 2020 Advanced Python Programming

Summary

Title: Learn the 2020 Advanced Python Programming

Price: $54.99

Average Rating: 4.4

Number of Lectures: 95

Number of Published Lectures: 95

Number of Curriculum Items: 95

Number of Published Curriculum Objects: 95

Original Price: $124.99

Quality Status: approved

Status: Live

What You Will Learn

Advance Python Programming in Python
Make Advance Level Application using Advance Concepts
Learn the in-depth intuition behind each concept

Who Should Attend

Anyone who is interested in learning Advance Level Python
Anyone who wants to make real time Advance Level Application in Python
In-depth Python Concepts Explanation

Target Audiences

Anyone who is interested in learning Advance Level Python
Anyone who wants to make real time Advance Level Application in Python
In-depth Python Concepts Explanation

In this course, we are going to learn only the Advance Level Programming in Python. As grabbing the main concept behind Advance Topics is not simple therefor, special attention is given to the intuition part of each concept where we gonna understand these concepts with proper animated slides.

Also not only understanding these advance concepts are important but to make something real out of it is very important or else there is no reason to learn Advance Programming therefor we will also make real time Advance level Applications in Python using Advance level concepts.

I believe that after taking this course, you gonna feel much more satisfied and comfortable with your programming in Python as you will then be a professional programmer who is capable to give any job interview..

I wish you very best for the Course

Course Curriculum

Chapter 1: Course Introduction and Setting up Python

Lecture 1: Welcome to the Course

Chapter 2: Email Automation using SMTP Intuition

Lecture 1: Server vs Client

Lecture 2: TCP vs UDP

Lecture 3: Understanding the SMTP Module

Chapter 3: Email Automation in Python

Lecture 1: Sending Plain Messages using SMTP

Lecture 2: Sending HTML Based Messages

Lecture 3: Sending Email with Attachment

Chapter 4: Decorator Intuition

Lecture 1: First Class Functions

Lecture 2: Understanding Decorator

Chapter 5: Implementing Decorators in Python

Lecture 1: Implementing First Class Functions in Python

Lecture 2: Creating Decorators – Method 1

Lecture 3: Creating Decorators – Method 2

Lecture 4: Passing Arguments to Decorator Function

Lecture 5: Avoiding Code Duplication Problem using Decorators

Chapter 6: Graphs Intuition

Lecture 1: Understanding Graphs

Chapter 7: Graphs

Lecture 1: Multi-Line Graph in Python

Lecture 2: Scatter Graph in Python

Lecture 3: Bar Graph in Python

Lecture 4: Styling Bar Chart

Lecture 5: Pie Graph in Python

Lecture 6: Histogram in Python

Chapter 8: Numerical Computation Intuition

Lecture 1: Understanding Numpy

Chapter 9: Numerical Computation in Python

Lecture 1: Creating Numpy 1D and 2D Array in Python

Lecture 2: Arithmetic Operations on Arrays

Lecture 3: Creating different useful Matrices with Numpy Functions

Lecture 4: Comparing and Computing Scientific Functions with Numpy

Lecture 5: Computing Mathematical Functions using Numpy

Chapter 10: YouTube Download Manager Application in Python

Lecture 1: YouTube Download Manager in Python 1

Lecture 2: YouTube Download Manager in Python 2

Lecture 3: YouTube Download Manager in Python 3

Lecture 4: YouTube Download Manager in Python 4

Lecture 5: YouTube Download Manager in Python 5

Lecture 6: YouTube Download Manager in Python 6

Lecture 7: YouTube Download Manager in Python 7

Lecture 8: YouTube Download Manager in Python 8

Lecture 9: YouTube Download Manager in Python 9

Lecture 10: YouTube Download Manager in Python 10 – Final Part

Chapter 11: Simple Linear Regression Machine Learning Model Intuition

Lecture 1: Simple Linear Regression Intuition 1

Lecture 2: Simple Linear Regression Intuition 2

Lecture 3: Simple Linear Regression Intuition 3

Chapter 12: Simple Linear Regression Machine Learning Model Implementation in Python

Lecture 1: Simple Linear Regression in Python 1

Lecture 2: Simple Linear Regression in Python 2

Lecture 3: Simple Linear Regression in Python 3

Lecture 4: Simple Linear Regression in Python 4

Lecture 5: Simple Linear Regression in Python 5

Lecture 6: Simple Linear Regression in Python 6

Lecture 7: Simple Linear Regression in Python 7

Chapter 13: Multiple Linear Regression Machine Learning Model Intuition

Lecture 1: Multiple Linear Regression Intuition 1

Lecture 2: Multiple Linear Regression Intuition 2

Lecture 3: Multiple Linear Regression Intuition 3

Lecture 4: Multiple Linear Regression Intuition 4

Lecture 5: Multiple Linear Regression Intuition 5

Lecture 6: Multiple Linear Regression Intuition 6

Chapter 14: Multiple Linear Regression Machine Learning Model in Python

Lecture 1: Multiple Linear Regression in Python 1

Lecture 2: Multiple Linear Regression in Python 2

Lecture 3: Multiple Linear Regression in Python 3

Lecture 4: Multiple Linear Regression in Python 4

Lecture 5: Multiple Linear Regression in Python 5

Lecture 6: Multiple Linear Regression in Python 6

Lecture 7: Multiple Linear Regression in Python 7

Chapter 15: Arcade Module : Lets Create some Animated stuff in Python

Lecture 1: Introduction to Arcade Module

Lecture 2: Drawing Different types of Emoji

Lecture 3: Still Imaging

Lecture 4: Auto Snow

Lecture 5: Auto Timer

Lecture 6: Auto Radar

Lecture 7: User Controlled Moving Objects

Chapter 16: Python Crash Course

Lecture 1: Python Crash Course Part 1

Lecture 2: Python Crash Course Part 2

Lecture 3: Python Crash Course Part 3

Lecture 4: Python Crash Course Part 4

Lecture 5: Python Crash Course Part 5

Lecture 6: Python Crash Course Part 6

Lecture 7: Python Crash Course Part 7

Lecture 8: Python Crash Course Part 8

Lecture 9: Python Crash Course Part 9

Lecture 10: Object Oriented Programming Python Part 1

Lecture 11: Object Oriented Programming Python Part 2

Lecture 12: Object Oriented Programming Python Part 3

Lecture 13: Object Oriented Programming Python Part 4

Lecture 14: Object Oriented Programming Python Part 5

Lecture 15: Object Oriented Programming Python Part 6

Lecture 16: Object Oriented Programming Python Part 7

Lecture 17: Object Oriented Programming Python Part 8

Instructors

Data Science Academy
Software Engineer, Data Scientist and Entrepreneur

Rating Distribution

1 stars: 3 votes
2 stars: 2 votes
3 stars: 9 votes
4 stars: 23 votes
5 stars: 61 votes

Frequently Asked Questions

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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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