Learn Python By Doing- 25 Real World Projects Masterclass

Learn Python By Doing: 25 Real World Projects Masterclass, available at $49.99, has an average rating of 3.8, with 265 lectures, based on 42 reviews, and has 1579 subscribers.

You will learn about Understand how to useframeworks like Django will save you a ton of time in web development Improve your web development and coding resume Be able to connect Django to databases Learn how to use Python in Web Development Understand various Django Functions Become a professional Python Developer Tkinter This course is ideal for individuals who are Beginners In Python It is particularly useful for Beginners In Python.

Enroll now: Learn Python By Doing: 25 Real World Projects Masterclass

Summary

Title: Learn Python By Doing: 25 Real World Projects Masterclass

Price: $49.99

Average Rating: 3.8

Number of Lectures: 265

Number of Published Lectures: 224

Number of Curriculum Items: 265

Number of Published Curriculum Objects: 224

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand how to useframeworks like Django will save you a ton of time in web development

Improve your web development and coding resume

Be able to connect Django to databases

Learn how to use Python in Web Development

Understand various Django Functions

Become a professional Python Developer

Tkinter

Who Should Attend

Beginners In Python

Target Audiences

Beginners In Python

The most appealing characteristic of Python is that it is an interpreted language. Interpreted languages are the programming languages that do not need to be compiled to run. An interpreter can run python code on any kind of computer, by itself. This means the programmer can quickly see the results, if or when they need to modify the code. On the flip side, this also means that Python is slower than a compiled language like C. And that is because it is not running on a machine code directly.

Because Python is an interpreted language, testing small snippets of code and moving them between different platforms is quite simple. Since Python is compatible with most of the operating systems, it is used universally, in a variety of applications.

Python is considered a beginners’ programming language. As it is a high-level language, a programmer can focus on what to do instead of how to do it. This is one of the major reasons why writing programs in Python takes less time than in other programming languages.

Because Python is similar to English, many find it easier to learn than other programming languages. Developers can read and remember the Python syntaxes much easier than other programming languages.

Since Python supports scripting as well, it can be used to build large, commercial applications. The main factor behind Python’s popularity in the IT world is its reliability. Being a high-level programming language, Python lets the user focus on the core functioning of the application. Meanwhile, the common programming tasks are handled by the language itself.

Now you can probably see why Python is one of the most favored programming languages by developers, data scientists, software engineers, and hackers! And the key factors behind its diverse userbase are flexibility, versatility, and object-oriented features. This is also why Python is used in complex fields like Machine Learning (ML) and Data Science (DS).

In This Course, We Are Going To Work On 25 Real World Projects Listed Below:

Project-1: Image Editor Application With OpenCV And Tkinter

Project-2:  Brand Identification Game With Tkinter And Sqlite3

Project-3: Transaction Application With Tkinter And Sqlite3

Project-4: Learning Management System With Django

Project-5: Create A News Portal With Django

Project-6: Create A Student Portal With Django

Project-7: Productivity Tracker With Django And Plotly

Project-8: Create A Study Group With Django

Project-9: Building Crop Guide Application with PyQt5, SQLite

Project-10: Building Password Manager Application With PyQt5, SQLite

Project-11: Create A News Application With Python

Project-12: Create A Guide Application With Python

Project-13: Building The Chef Web Application with Django, Python

Project-14: Syllogism-Rules of Inference Solver Web Application

Project-15: Building Vision Web Application with Django, Python

Project-16: Building Budget Planner Application With Python

Project-17: Tic Tac Toe Game

Project-18: Random  Password Generator Website using Django

Project-19: Building Personal Portfolio Website Using Django

Project-20: Todo List Website For Multiple Users

Project-21: Crypto Coin Planner Gui Application

Project-22: Your Own Twitter Bot -python, request, API, deployment, tweepy

Project-23: Create A Python Dictionary Using python, Tkinter, JSON

Project-24: Egg-Catcher Game using python

Project-25: Personal Routine Tracker Application using python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction To The Course

Lecture 2: Course Outline Video

Lecture 3: Udemy Course Feedback

Chapter 2: Project-1: Image Editor Application Using Python

Lecture 1: 1 Introduction

Lecture 2: 2 tkinter

Lecture 3: 3 tkinter2

Lecture 4: 4 cvbasics

Lecture 5: 5 Implementing Frames

Lecture 6: 6 Implementing Frames Part2

Lecture 7: 7 Implementing Canvas

Lecture 8: 8 Sub Menu

Lecture 9: 9 Finishing Front End

Lecture 10: 10 Image on canvas

Lecture 11: 11 Applying Filters

Lecture 12: 12 Cropping

Lecture 13: 13 Saving Images

Lecture 14: Download the code

Chapter 3: Project-2: Brand Identification Application Using Python

Lecture 1: 1 Introduction

Lecture 2: 2 Tkinter Basics

Lecture 3: 3 Sqlite Basics

Lecture 4: 4 Developing Frontend

Lecture 5: 5 Implementing Logic

Lecture 6: 6 Creating Database

Lecture 7: 7 Integrating database with tkinter

Lecture 8: Download the code

Chapter 4: Project-3: Transaction Application With Tkinter and Sqlite

Lecture 1: 1 Introduction

Lecture 2: 2 Tkinter Basics

Lecture 3: 3 Sqlite Basics

Lecture 4: 4 Developing Frontend

Lecture 5: 5 Authentication

Lecture 6: 6 Managing Transaction

Lecture 7: 7 Managing Profile

Lecture 8: Download the code

Chapter 5: Project-4: Learning Management System with Django

Lecture 1: 1 Introduction

Lecture 2: 2 Setting Up

Lecture 3: 3 Building Models

Lecture 4: 4 Building Models part 2

Lecture 5: 5 Admin And Querying

Lecture 6: 6 Registration And Login

Lecture 7: 7 Implementing Profile

Lecture 8: 8 Implementing Profile Part2

Lecture 9: 9 Results With Matplotlib

Lecture 10: 10 Interactive Graph

Lecture 11: 11 Answering Assignments

Lecture 12: 12 Staff Assignment View

Lecture 13: Download the code

Chapter 6: Project-5: News Portal Application Using Python

Lecture 1: 1 Introduction

Lecture 2: 2 Setting Up

Lecture 3: 3 Implementing Models

Lecture 4: 4 Login And Registration

Lecture 5: 5 Profiles

Lecture 6: 6 News Home

Lecture 7: 7 Filtering News

Lecture 8: 8 Efficient Code

Lecture 9: 9 Adding News

Lecture 10: Download the code

Chapter 7: Project-6: Student Portal Application Using Python

Lecture 1: 1 Introduction

Lecture 2: 2 Setting Up

Lecture 3: 3 Homepage And API Requests

Lecture 4: 4 Login And Registration

Lecture 5: 5 Handling Notes

Lecture 6: 6 Todos And Homeworks

Lecture 7: 7 Conversion Page

Lecture 8: Download the code

Chapter 8: Project-7: Productivity Tracker Application Using Python

Lecture 1: 1 Introduction

Lecture 2: 2 Setting Up

Lecture 3: 3 Login And Registration

Lecture 4: 4 Todo Implementation

Lecture 5: 5 Profile Implementation

Lecture 6: Download the code

Chapter 9: Project-8: Study Group Application Using Python

Lecture 1: 1 Introduction

Lecture 2: 2 Setting Up

Lecture 3: 3 Login And Registration

Lecture 4: 4 ER Diagram

Lecture 5: 5 Groups Implementation

Lecture 6: 6 Filtering

Lecture 7: Download the code

Chapter 10: Project-9: Building Crop Guide Application with PyQt5, SQLite

Lecture 1: Introduction

Lecture 2: Designing The Python GUI

Lecture 3: Enhancing the Qt5 GUI Functionality

Lecture 4: Creation and Implementation of Database

Lecture 5: Connecting Database with PyQt5 Application

Lecture 6: Enhancing the Qt5 GUI Functionality and Application Logic

Lecture 7: Project Conclusion and Recall

Lecture 8: Download The Code

Chapter 11: Project-10: Building Password Manager Application With PyQt5, SQLite

Lecture 1: Introduction to Project on Password Manager

Lecture 2: Designing The Python GUI using Qt Designer

Lecture 3: Enhancing the Qt5 GUI Functionality

Lecture 4: Creation and Implementation of Database

Instructors

Pianalytix ? 75,000+ Students Worldwide
Projects in Data Science, Machine Learning, Power BI, & More

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 4 votes

5 stars: 34 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!