The Complete Python for Beginner-Master Python from scratch

Python Data science uses it extensively. It is therefore important to learn how to use it. Python To analyse data. File size: 0.98GB

The Complete Python for Beginner-Master Python from scratch

What you’ll find

    Learn the latest version of Python i.e Python 3
Understand & learn each and every Python concept.
Learn how to automate social posts using Selenium
Use Web-Applications Python.
Use GUI-based Applications Python Tkinter
Learn how to make web apps that are full-stack using Python Django
Learn how to process images & videos using OpenCV
Learn how to create your own web-scraping tool Python
Create database-oriented desktop applications with Python, PostgreSQL & Tkinter.
Learn all Django concepts
Learn all Flask Concepts
Learn how to do data analysis using Python
Learn object-oriented programming in Python

Course content
Expand all 311 lectures29.00:48
–Introduction
02:58
Introduction to The Course
Preview
02:58
–Basic Python Concepts
01:03:39
Installation Python PyCharm
06:04
Hello World Program In Python
08:06
Other mathematical operations are also available Python
06:14
Strings In Python
05:00
Accepting input from The user in Python
05:06
Operating on a string Python
05:25
Variables in Python
06:33
In-place operators Python.
06:28
Our first program in PyCharm
04:27
Coding Challenge Part 1
07:31
Quiz For Section 1:
5 questions
Notes & Summary For Section 1
02:45
–Control Structures In Python
01:15:07
If statement is in Python
08:32
Elif statement in Python
05:37
Introduction to lists Python
06:17
List operations Python
08:32
List functions Python
07:20
Range function in Python
05:10
Code reuse and functions Python
07:38
For Loop in Python
08:35
Boolean logic in Python
05:57
Loop in Python
05:48
Quiz For Section 2:
5 questions
Coding challenge 2
00:14
Coding challenge 2 solution
00:05
Coding challenge 3
00:11
Coding challenge 3 solution
00:08
Notes & Summary For Section 2
05:02
–Functions & Modules In Python
22:19
Passing arguments to functions Python
06:28
Function return value in Python
04:37
Passing functions as arguments Python
05:19
Modules in Python
04:28
Quiz For Section 3:
3 questions
Coding challenge 4
00:16
Coding challenge 4 solution
00:09
Notes & Summary For Section 3
01:02
–Exception Handling & File Handling In Python
38:32
Errors & exceptions in Python
07:59
Exception handling in Python
04:54
Finally, block
03:23
File handling
06:43
Reading data from File
04:16
Add data to the file
06:04
Addition to a file
02:01
Quiz For Section 4:
4 questions
Coding challenge 5
00:07
Coding challenge 5 solution
00:11
Coding challenge 6
00:13
Coding challenge 6 solution
00:09
Notes & Summary For Section 4
02:30
–Some More Types In Python
45:08
Dictionaries
07:10
Dictionary Functions
05:37
Tuples
03:41
List Slicing
05:19
List Comprehension
05:06
String formatting
05:35
String functions
07:57
Numeric functions
02:45
Quiz For Section 5:
2 questions
Coding challenge 7
00:10
Coding challenge 7 solution
00:08
Coding challenge 8
00:05
Coding challenge 8 solution
00:05
Notes & Summary For Section 5
01:28
–Functional Programming In Python
31:12
Functional programming
06:34
Lambdas in Python
05:06
Map in Python
06:06
Filters Python
04:00
Generators Python
06:28
Coding challenge 9
00:19
Coding challenge 9 solution
00:10
Coding challenge 10
00:04
Coding challenge 10 solution
00:02
Coding challenge 11
00:13
Coding challenge 11 solution
00:08
Notes & Summary For Section 6
02:00
–Object Oriented Programming In Python
01:38:13
Introduction To Object Oriented Programming, Classes & Objects
05:18
Class Methods
03:01
Creating A Class & Defining Class Attributes
06:54
Instance Attributes & Constructor
11:11
Implementing Methods in Object Oriented Programming
07:16
Function Based vs. OOP Method Of Writing Code
08:35
Inheritance
06:47
Multiple Inheritance
04:07
Multi-level Inheritance
03:21
Recursion in Python
07:07
Sets
07:56
Itertools
09:23
Operator overloading Python
07:42
Data hiding in Python
06:29
Coding challenge 12
00:30
Coding challenge 12 solution
00:29
Coding challenge 13
00:07
Coding challenge 13 solution
00:08
Notes & Summary For Section 7
01:50
–Regular Expressions In Python
39:32
Regular expressions in Python
06:33
Search & find all
05:03
Find & replace
04:59
The dot metacharacter
03:33
Caret & dollar metacharacter
05:17
Character class
06:03
Star metacharacter
04:40
Group
03:24
–Create GUI Apps In Python Tkinter
01:12:12
Tkinter – Hello world program
07:09
Tkinter: Using frames
05:43
Tkinter Grid Layout
06:32
Tkinter: Self-adjusting widgets
05:00
Tkinter: Handling button presses
04:03
Tkinter: Using Classes
10:39
Tkinter: Using drop downs
11:41
Tkinter: Toolbar
08:03
Tkinter: Setting the Status Bar
03:25
Tkinter: Message Box
04:36
Tkinter Drawing
05:21
16 more sections
Requirements

There is no need to know any technical or programming skills.
A computer connected to the internet.
As long as you have the tools you need, there are no fees for them. for This course is free.
Passion and curiosity to learn new things.

Description

The Complete Python Masterclass: Learn Python From Scratch

Here’s what you get by enrolling in this course:

Word-by-Word Explanation : I will explain every line of code in the entire course without skipping any.

Amazing Quality Content: 29+ hours of HD (1080p), Videos.

Well Structured & Easy To Learn: Course has been specially designed to make it easy for The students learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, Desktop App development with PostgreSQL & Web Scraping.

24 X 7. Support: I will always be there for you in your journey towards becoming Python expert.

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This is Everything You Will Learn in This Complete Course:

Download immediately The Complete Python for Beginner-Master Python from scratch

You will learn through this hands-on course Python Right from the start from scratch You can create almost anything with it, whether it’s a fully functional web-based database-oriented web application or an automated tool.

This course will teach the basics of how to use your computer. Python Right from scratch from This is a very basic level that will gradually lead you to more advanced topics.

We don’t just cover all of it. Python Basics but also the most loved Python libraries such as Django, Flask, Tkinter & Selenium.

The Complete The course is divided into 11 major sections.

This is a brief overview of the information you will find in each section.

Section 1 Python.

This section covers the basics of PythonStart right from Installing the tools required to cover topics like string operations, string operators, accepting user input, variables, conditionals such as if, elif and control structures such a while & for loop, functions, modules & packages, lists, file handling, OOP in PythonRegular expressions. Almost all basic Python This section covers concept.

Section 2: Make GUI in Python Tkinter.

Once we have mastered the basics, we can learn the Tkinter library that allows us to create desktop-based applications. Python. We will show you how to create GUI apps with Tkinter.amp; Python Also, you can build a fully functional Desktop application, i.e. a calculator.

Section 3: Making Database-Oriented Desktop Apps with PostgreSQL

A simple desktop app is not enough. It needs a backend database in order to store data. This section will show you how to connect your desktop apps to the server. This section will show you how to build a student management software system. Python, Tkinter to design the GUI & PostgreSQL database to store the data for Our application in backend.

Section 4: Data analysis.

Python Data science uses it extensively. It is therefore important to learn how to use it. Python To analyse data. This section will teach you how to use various techniques and tools to analyse data. We begin by learning the Pandas Library, which is used to perform analysis. We also learn all the basic concepts such as DataFrames. Reindexing. Indexing. Broadcasting. We also learn how the Matplotlib library can be used to visualize data and perform data plotting.

Section 5 Python Web Framework Django.

This section will show you how to create full-stack web apps with Python & Django. Django is a popular web framework for Python It is used to program the back-end of our web app. We will be learning Django right here from We will learn the basics and build a simple web application for a book store. We will learn how models are created, how to route URL requests and how to create different views. for Our web app, how to incorporate HTML templates and much more.

Section 6 Python Web Framework Flask.

Flask can be described as a micro web framework for Python It can be used to create simple web apps. Flask is a tool that allows you to create small and simple websites. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies.

Section 7: REST APIs Using Django Rest Framework.

This section will show you how to create your own REST APIs with the Django Rest Framework. You can create API endspoints if your Django web application is already built. for It is built using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication.

Section 8: Web Scraping Python.

Python It can also be used for crawling websites and gathering data from it. We will also learn how to create a web crawler that crawls all websites we want and gathers relevant links. from it. Many search engines use web crawlers in order to rank websites. This section explains how to create a smaller version. Python.

Section 9: Automation Python & Selenium.

Python is widely used for Automation is also a good option, especially for testing. Selenium Web Driver is one example of such a tool. for Automating tests can also be done for Automating other browser-based tasks is also possible. This section will teach you how to automate tasks using Selenium. It will also show you how build a Facebook Bot which automatically posts status. for us.

Section 10: Best Practices: Writing Clean & Efficient Python Code.

To be a good friend Python As a developer/engineer, you must be able to communicate clearly, concisely and efficiently. Python code. This section will discuss the best practices to follow when writing. Python Enter code

Section 11: Image Processing with Python & OpenCV.

Python It can also be used for processing and manipulating images and videos. This section will show you how to use OpenCV library. Python To manipulate images. We learn some interesting techniques like how to capture webcam video and track photos from Live video, image blurring, image averaging, Gaussain filtering, and other image thresholding techniques.

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Let’s get started on the journey to becoming an expert in Python.

In addition to the Udemy 30-day money back guarantee, you  have my personal guarantee that you will love what you learn in this  course. If you ever have any questions please feel free to message me  directly and I will do my best to get back to you as soon as  possible!

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Register for the course before the price goes up

You are one step closer to becoming a professional Python Click the button to contact the developer “take this course button” now!

Take part in the journey.

Sincerely,

Ashutosh Pawar
Who is this course for for:

For beginners who want to learn Python.
Django is for beginners who are interested in learning it.
Flask for beginners
Web Developers
Students who are looking to improve their career prospects by learning a new skill.