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How to make Desktop Application Using Python and Html Css || python desktop application 121gamers 0 Views • 1 year ago

Hello Guys
In this video i want to show you How we Create a Desktop Application Usign Html , Css , js & Python
Here we use Python for Back-end
so if This Video Got 1000 Likes . I will make Youtube Video Downloader Application in Next video

00:00 Project Setup
00:17 Front-End
00:36 Back-End python (eel)
02:07 Run Project

all Source Code : https://github.com/codeDev911

thanks...

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Google Colab for Python Programming | Google Colab Tutorial For Beginners | Intellipaat 121gamers 0 Views • 1 year ago

▶️ Intellipaat's Advanced Certification in Data Science & AI - https://intellipaat.com/advanc....ed-certification-dat

Google Colab is a powerful tool for Python programming that is gaining popularity among data scientists and machine learning enthusiasts. In this video, we'll explore how to use Google Colab for Python programming and how it can enhance your workflow.

First, we'll explain what Google Colab is and how it differs from traditional Python IDEs. Next, we'll dive into some of the advanced features of Google Colab. We'll show you how to install and use external libraries, connect to Google Drive, and utilize hardware acceleration with GPUs and TPUs.

We'll also cover some tips and tricks for working efficiently in Google Colab, such as keyboard shortcuts, code snippets, and collaboration tools.

Throughout the video, we'll provide practical examples of how Google Colab can be used for Python programming. Then we'll walk you through the conclusion.

Whether you're new to Python programming or a seasoned pro, this video will show you how to leverage the power of Google Colab to streamline your workflow and take your coding skills to the next level. So if you're ready to start using Google Colab for Python programming, be sure to check out this video!

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👉Following topics are covered in this video:
00:00 - Introduction
01:03 - What is Google Colab?
02:01 - Features of Google Colab
03:50 - Hands-on
11:10 - Conclusion

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5 Mini Python Projects - For Beginners 121gamers 0 Views • 1 year ago

Welcome back to another video! In this video, I will be showing 5 mini python projects for beginners.
I'll be showing you how I would create a template from scratch. Using this template, you can keep building and practicing your programming skills.

💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" https://algoexpert.io/techwithtim

📄 Resources 📄
Projects Code Download: https://github.com/techwithtim..../5-Python-Projects-F
Download VSCode: https://code.visualstudio.com/
Fix Pip (Windows): https://www.youtube.com/watch?v=AdUZArA-kZw
Fix Pip (Mac/Linux): https://www.youtube.com/watch?v=E-WhAS6qzsU&t=4s
Fernet Cryptography Documentation: https://cryptography.io/en/latest/fernet/

⭐️ Timestamps ⭐️
00:00 | Introduction
02:09 | List of Projects
02:53 | Environment Setup
04:51 | Project #1 - Quiz Game
25:05 | Project #2 - Number Guessing Game
42:53 | Project #3 - Rock, Paper, Scissors
57:44 | Project #4 - Choose Your Own Adventure
01:09:53 | Project #5 - Password Managers (Most Advanced)

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Python Flask Tutorial For Beginners | Flask Web Development Tutorial | Python Training | Edureka 121gamers 0 Views • 1 year ago

🔥 Full-Stack Web Development Internship Program: http://bit.ly/fs-internship

This Edureka Python Flask tutorial will cover all the fundamentals of Flask. It will also explain how you can develop your own website using Flask in Python.

00:26 - Agenda
00:49 - Introduction to Flask
03:14 - Installing Flask
05:40 - Flask Application
09:36 - Routing in Flask
10:56 - Variable Rules in Flask
15:29 - URL Binding in Flask
17:26 - HTTP Methods using Flask
20:56 - Templates in Flask
25:00 - Static Files in Flask
26:22 - Request Objects in Flask
27:36 - Cookies in Flask
30:12 - Redirects and Errors in Flask
32:08 - Flask Extensions
34:05 - Conclusion

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present

- - - - - - - - - - - - - - - - - - -

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

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