Learn Python By Doing: 25 Real World Projects Masterclass

Learn Python By Doing: 25 Real World Projects Masterclass

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

Go From Beginner To Expert In Python Web Development: Develop Real Django Applications with SQLite, Tkinter, Opencv

Url: View Details

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

Rating: 3.85

Level: Beginner Level

Duration: 43 hours

Instructor: Pianalytix .