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Udemy the Python Mega Course: Build 10 Real World Applications [TorrentX]
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Udemy the Python Mega Course: Build 10 Real World Applications [TorrentX]

TorrentX 76· 1 week ago
Seeders
63
Leechers
2
Size
3.14 GB
Files
433
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Torrent Contents

433 files3.14 GB
Description
This is not just another Python tutorial that shows how to write Python code. This is a carefully designed course that will train you to develop real life applications with Python. Through a combination of videos, real world code examples, quizzes, interactive exercises, and a final project, this course makes sure you are able to think Python, and design and build real world applications by the end of it. After you buy the course, you will have lifetime access to it and to the course cheat sheet ebook containing all the code consumed throughout the course. You can use that book for quick look-up of Python commands.
Web applications
Desktop applications
Database applications
Web scraping
Web mapping
Data analysis
Interactive web visualization
Computer vision for image and video processing
Object Oriented Programming
By the end of the course you will have built 10 useful Python applications in the above areas.
A program that generates definitions of English words given by the user
A program that blocks access to distracting websites
A web map visualizing volcano locations and population data
A portfolio website
A desktop graphical program that interacts with a database
A webcam motion detector
A web scraper of property data
An interactive web graph
A database web application to collect data
A web service that converts addresses to coordinates
That set of programs will equip you with a great Python portfolio which you can show to your employer or to anyone who you want to impress. This is a great opportunity to become a professional Python programmer so take the course and start learning Python today.
Who is the target audience?
All student levels the course starts from zero and progresses to advanced level.
Requirements
A working computer (Windows, Mac, or Linux).
No prior knowledge of Python is required

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