Learn Pro Advanced Python Programming

Name: Learn Pro Advanced Python Programming
Rating: 4.3 (1179 reviews)

Become a Professional Python Programmer by learning Advance Level Programming & using them to make real Applications

Created byData Scientist

Last updated 11/2020

English

What you'll learn

Advance Level Programming in Python
Make real time advance applications using Advance Level Concepts
Make Machine Learning Models
Use Machine Learning Models to make real time Applications
Learn the Mathematics behind Machine Learning Models

Course content

18 sections • 174 lectures • 26h 23m total length

Section Overview0:58
Introduction to Comprehension1:09
List Comprehension Part-18:47
Learn how to use list comprehension in Python to create a new list from an expression with for and if clauses, and compare it to a for loop.
List Comprehension Part-211:45
List Comprehension vs Lambda Function2:32
Parsing a File Using List Comprehension4:32
Explore parsing a text file with Python list comprehensions, opening the file in read mode and collecting lines that contain a target word.
Accessing Function using List Comprehension3:51
Explore how to apply list comprehensions to functions in Python, passing inputs and collecting outputs across a range, then filter even results with a conditional.
Dictionary Comprehension40:54
Set Comprehension6:09
Master set comprehensions in Python by using curly brackets to create a set from an input. Include optional expression and predicate, remove duplicates, and filter even numbers.
Generator Comprehension4:09

Section Overview1:10
Introduction to Descriptors6:53
Invoking Descriptors2:53
Explore how Python descriptors are invoked automatically via the get attribute flow, distinguish data and non-data descriptors, and see how object and type get attribute govern overrides.
Purpose of Descriptors Part-117:44
Purpose of Descriptors Part-215:36
explore Python descriptors by implementing a BMI descriptor with get, set, and delete methods, enforcing integer type and nonnegative values, and showing how descriptors interact with a person class.
Creating Descriptors using Property7:29
Creating Descriptors using Class6:48
Creating Descriptors using @6:45
Uses of Descriptors22:18

Section Overview1:13
Singly and Doubly Linked List10:22
Intro to Linked Lists6:01
Create and Traverse - Singly Linked List17:13
Insertion - Singly Linked List26:07
Deletion - Singly Linked List17:19
Creating - Doubly Linked List10:09
Insertion - Doubly Linked List14:30
Appending - Doubly Linked List9:01
Learn to append a node at the end of a doubly linked list in Python, handling the empty list and updating the node's next and previous pointers.
Deletion - Doubly Linked List12:10

Installing the OpenCV Module1:42
Showing the Image8:53
Keyboard Events in OpenCV3:07
Drawing Different Shapes on Images16:30
Capturing Video with OpenCV14:06
Writing the Video8:32
Different Video Properties8:41
Overlay frame width and height and current date and time on video frames with OpenCV using cv2.putText, handling font, font scale, BGR color, line type, and string conversion.
Events2:23
Implementing Mouse Events12:00
Image Thresh holding6:03
Object Detection with OpenCV20:13

Section Overview1:05
Introduction to File Handling1:13
Creating a Text File2:24
Modes in Files1:46
Modes for other File Types1:51
Explore Python file handling beyond text files by creating and writing to csv and json files, using path and mode, and applying the same read and write concepts across formats.
Reading from a Text File1:39
Explore reading from a text file in Python by specifying the path and opening the file in read mode. Learn how read and write permissions affect file access using PyCharm.
Renaming a Text File1:43
Writing to a Text File1:55
Learn to write to an existing text file in Python by creating a file path, opening with write mode, and using the write method to save content.
Saving Data to a File2:13
Appending to a File6:10
Closing a File2:23
Learn how to close a file in Python, prevent further writes after closing, and reuse a file by reopening, using writing mode and file.close in practical examples.
Deleting a File4:55
With Statement3:13
Saving Dictionary to a File11:55
Save a Python dictionary to csv, json, text, and pickle files by serializing dictionary items and writing them to disk. Explore how each format stores keys and values.

Section Overview1:08
Introduction to Magic Methods1:34
Various Magic Methods9:05
Learn pro advanced Python programming: explore magic methods, including initialization with new and init, destruction with del, unary operators, augmented assignments, and type conversions.
Magic Methods based on Object Usefulness12:24
Initialization and Construction6:43
Unary Operators - Magic Methods6:43
Strings - Magic Methods4:06
Operators - Magic Methods4:36
Augmented Assignment Operator3:12
Learn how Python's augmented assignment uses magic methods to perform in-place updates, updating self.x with self.x plus other.x when using object1 += object2.
Magic Methods for Binary Operators10:47

Introduction to Arcade Module1:03
Sad Images - Arcade Module32:59
Still Images - Arcade Module55:23
Auto Timer - Arcade Module22:00
Auto Snow - Arcade Module36:27
Explore the arcade module in Python by building a snowfall animation with randomly positioned snowflakes, varying sizes and speeds, and a reusable snowflake class.
Auto Radar - Arcade Module23:08
User Controlled Moving Object - Arcade Module56:30
Learn to build a user controlled moving rectangle in Python with the arcade module, handling arrow key input, drawing and updating, and enforcing window bounds and speed and size parameters.

PDF Audio Reader Application Part-11:09
PDF Audio Reader Application Part-23:14
PDF Audio Reader Application Part-37:43
Learn to extract text from a PDF using PyPDF2 by opening the file in read-binary mode, iterating pages, concatenating extracted text, and printing the result.
PDF Audio Reader Application Part-44:51
Learn to implement the pdf audio reader's text-to-speech engine, configure rate and voice, and speak 'hello world' using run and wait, with future gui integration.
PDF Audio Reader Application Part-521:35
Build a pdf to audio reader with tkinter and PyPDF2 to extract text and convert it to speech, with a select pdf file button and speech rate control.
PDF Audio Reader Application Part-613:57
PDF Audio Reader Application Part-73:34
PDF Audio Reader Application Part-85:12
PDF Audio Reader Application Part-914:48

Requirements

Basic Knowledge of Python or any programming Level is required

Description

In this course, I am going to make you a professional programmer by teaching you Advance Level Programming in Python. The Basic of any programming language is not enough to make real time applications therefor, i have covered most of the Advance Level Concepts in depth in this course. 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. We will also learn Machine Learning in Python in depth by covering the Mathematics behind each model as well. Also we will use these Machine Learning Models to make something real out of it.

I believe that after taking this course, you gonna feel much more satisfied and comfortable with your programming skill in Python as you will then be a professional programmer who is capable to give any job interview.. Also after taking this course, learning any Advance Level concept in any other language will be 10x more simpler.

I wish you very best for the Course.

Who this course is for:

Anyone curious to learn Advance Level Programming
Anyone curious to make Advance Level Applications
Anyone Curious about Machine Learning Models

Learn Pro Advanced Python Programming

What you'll learn

Explore related topics

Course content

Python Comprehension10 lectures • 1hr 25min

Descriptors in Python9 lectures • 1hr 28min

Linked List in Python10 lectures • 2hr 4min

OpenCV - Image/Video Processing in Python11 lectures • 1hr 42min

Generators in Python4 lectures • 21min

Managing Files in Python14 lectures • 44min

Magic Functions in Python10 lectures • 1hr

Thread Programming in Python9 lectures • 1hr 11min

The Arcade Module7 lectures • 3hr 48min

PDF Audio Reader Application9 lectures • 1hr 16min

Requirements

Description

Who this course is for: