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Virtual Environment in Python | Python Tutorial - Day #43 121gamers 1 Görünümler • 8 ay önce

Python is one of the most demanded programming languages in the job market. Surprisingly, it is equally easy to learn and master Python. This python tutorial for absolute beginners in Hindi series will focus on teaching you python concepts from the ground up.
Access the Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Link to the Repl: https://replit.com/@codewithha....rry/43-Day43-Virtual
Join Replit the browser-based IDE used in this course - https://join.replit.com/code-with-harry-100-doc
►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: www.instagram.com/codewithharry

python, C, C++, Java, JavaScript and Other Cheetsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

►Learn in One Video[++]:
Python[15 Hr]: https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr]: https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr]: https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr]: https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min]:https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr]: https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr]: https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr]:https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min]:https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr]:https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr]:https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr]:https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr]:https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr]:https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr]:https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr]:https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr]:https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

►Complete course [playlist]:
React: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo:https://www.youtube.com/playli....st?list=PLu0W_9lII9a

Follow Me On Social Media
►Website (created using Django Rest & Angular): https://www.codewithharry.com
►Facebook: https://www.facebook.com/CodeWithHarry
►Instagram: https://www.instagram.com/codewithharry/
Twitter: https://twitter.com/CodeWithHarry
Comment "#HarryBhai" if you read this 😉😉

Python Flask Machine Learning Web App Tutorial 121gamers 1 Görünümler • 8 ay önce

Thank you for watching the video! Here is the code:
https://github.com/gahogg/YouT....ube/tree/master/Flas

Part 2 is available here: https://youtu.be/EwegW1LDIrg

I offer 1 on 1 tutoring for Data Structures & Algos, and Analytics / ML! Book a free consultation here: https://calendly.com/greghogg/30min

Learn Python, SQL, & Data Science for free at https://mlnow.ai/ :)

Subscribe if you enjoyed the video!

Best Courses for Analytics:
---------------------------------------------------------------------------------------------------------
+ IBM Data Science (Python): https://bit.ly/3Rn00ZA
+ Google Analytics (R): https://bit.ly/3cPikLQ
+ SQL Basics: https://bit.ly/3Bd9nFu

Best Courses for Programming:
---------------------------------------------------------------------------------------------------------
+ Data Science in R: https://bit.ly/3RhvfFp
+ Python for Everybody: https://bit.ly/3ARQ1Ei
+ Data Structures & Algorithms: https://bit.ly/3CYR6wR

Best Courses for Machine Learning:
---------------------------------------------------------------------------------------------------------
+ Math Prerequisites: https://bit.ly/3ASUtTi
+ Machine Learning: https://bit.ly/3d1QATT
+ Deep Learning: https://bit.ly/3KPfint
+ ML Ops: https://bit.ly/3AWRrxE

Best Courses for Statistics:
---------------------------------------------------------------------------------------------------------
+ Introduction to Statistics: https://bit.ly/3QkEgvM
+ Statistics with Python: https://bit.ly/3BfwejF
+ Statistics with R: https://bit.ly/3QkicBJ

Best Courses for Big Data:
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+ Google Cloud Data Engineering: https://bit.ly/3RjHJw6
+ AWS Data Science: https://bit.ly/3TKnoBS
+ Big Data Specialization: https://bit.ly/3ANqSut

More Courses:
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+ Tableau: https://bit.ly/3q966AN
+ Excel: https://bit.ly/3RBxind

+ Computer Vision: https://bit.ly/3esxVS5
+ Natural Language Processing: https://bit.ly/3edXAgW

+ IBM Dev Ops: https://bit.ly/3RlVKt2
+ IBM Full Stack Cloud: https://bit.ly/3x0pOm6
+ Object Oriented Programming (Java): https://bit.ly/3Bfjn0K

+ TensorFlow Advanced Techniques: https://bit.ly/3BePQV2
+ TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb
+ Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj

Timeline:
0:00:38 App Overview
0:01:45 Install Virtual Environment
0:04:53 Flask First Steps
0:08:18 Train ML Model
0:21:03 Core Functionality
0:44:17 Putting it altogether in Flask

Music: https://www.bensound.com/royalty-free-music
Sound effects: https://www.zapsplat.com

Add AI to your Existing Applications using this AI Tool 🔥 121gamers 1 Görünümler • 8 ay önce

Star the CopilotKit's GitHub: https://go.copilotkit.ai/copilot

Visit and star ⭐️ CopilotKit's GitHub repo for all the resources and examples you need to get started.
Explore at your own pace and see where CopilotKit can take you!

Checkout the Copilotkit AI: https://www.copilotkit.ai/
Source Code: https://github.com/CodeWithHar....ry/ai-powered-todo-l

►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: https://www.instagram.com/codewithharry

python, C, C++, Java, JavaScript and Other Cheatsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

►Learn in One Video[++]:
Python Course with 5 Projects: https://www.youtube.com/watch?v=fqF9M92jzUo
Python[15 Hr]: https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr]: https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr]: https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr]: https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min]:https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr]: https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr]: https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr]:https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min]:https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr]:https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr]:https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr]:https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr]:https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr]:https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr]:https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr]:https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr]:https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

►Complete course [playlist]:
React: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo:https://www.youtube.com/playli....st?list=PLu0W_9lII9a

Follow Me On Social Media
►Website (created using Django Rest & Angular): https://www.codewithharry.com
►Facebook: https://www.facebook.com/CodeWithHarry
►Instagram: https://www.instagram.com/codewithharry/
Twitter: https://twitter.com/CodeWithHarry
Comment "#HarryBhai" if you read this 😉😉

Make first android app with python 121gamers 1 Görünümler • 8 ay önce

Get Free GPT4o from https://codegive.com
to create your first android app using python, you can use the kivy framework. kivy is an open-source python library for rapid development of multi-touch applications. it allows you to build cross-platform applications for android, ios, windows, linux, and macos. in this tutorial, we will walk you through creating a simple android app using python and kivy.

step 1: install kivy
first, you need to install kivy on your system. you can install kivy using pip by running the following command in your terminal or command prompt:

step 2: create the python script
create a new python script for your android app. you can use any text editor or an ide of your choice. here is a simple example of a python script that creates a basic kivy app:

in this script, we are creating a simple kivy app with a single button that displays the text "hello, kivy!".

step 3: build the android app
to build your python script into an android app, you can use tools like buildozer. buildozer is a tool that automates the process of building and packaging kivy applications for various platforms, including android.

first, install buildozer using pip:

next, create a `buildozer.spec` file in the same directory as your python script. this file contains the configuration settings for building your android app. here is an example `buildozer.spec` file for our simple app:

finally, run the following command to build your android app using buildozer:

this command will compile your python script, package it as an android app, deploy it to a connected android device or emulator, and run the app.

congratulations! you have successfully created your first android app using python and kivy. feel free to explore more features of kivy and customize your app further.

...

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Streamlit Python Course: Build a Machine Learning App to Predict Cancer 121gamers 1 Görünümler • 8 ay önce

Welcome to this Streamlit Python tutorial, where we will dive into creating an interactive machine-learning web application using the Streamlit framework! In this comprehensive project-based course, you'll learn how to build a machine-learning dashboard to predict whether a cell cluster is benign or malignant using Python and Streamlit. This tutorial is perfect for beginners, experienced developers, and data scientists looking to learn how to create powerful machine-learning projects that integrate with web applications.

-----------------------
🔥 Useful links:
- Github project: https://github.com/alejandro-a....o/streamlit-cancer-p
- Blog post: https://alejandro-ao.com/posts..../data-science/stream

💬 Join the Discord Help Server - https://link.alejandro-ao.com/HrFKZn
❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq
✉️ Join the mail list: https://link.alejandro-ao.com/AIIguB
------------------------

🚀 What you'll learn in this tutorial:

How to create a Streamlit dashboard
Training a logistic regression model for machine learning
Visualizing data using Plotly
Displaying predictions based on user input
Creating an AI full-stack app using Python

In this video tutorial, we train a logistic regression model using machine learning in Python. We will be using a dataset to predict whether a cell cluster is benign or malignant. Once our model is ready, we will integrate it into a Streamlit application that runs in the web browser. You'll see how easy it is to create an interactive dashboard using Streamlit and Python!

Next, we will visualize our data using Plotly to create informative and interactive charts. These visualizations will help users understand the predictions made by our machine-learning model. We'll then display the predictions based on the user's input, making our dashboard not only visually appealing but also highly functional.

Throughout the tutorial, we'll explore various techniques and best practices used by experts like Nicholas Renotte and Patrick Loeber. This Streamlit tutorial is an excellent resource for data science dashboard projects and a great way to learn how to create a machine learning app.

By the end of this course, you will have created an AI full-stack app using Python, Streamlit, and machine learning. You'll be ready to tackle your own machine-learning projects and create amazing data science dashboards!

Don't forget to like, comment, and subscribe to stay updated with more tutorials and projects in machine learning, data science, and web app development!

⏰ Timestamps
0:00 Intro
2:56 Download the data
6:23 Project setup
8:21 Clean the data
14:00 Train the model
21:06 Test the model
26:39 Export the model and scaler
32:33 Create the Streamlit app
38:48 Create the layout
44:18 Add the sidebar inputs
58:52 Create the chart
1:17:22 Scale the values for chart
1:25:30 Display the predictions
1:39:08 Add custom CSS
1:52:00 Deploy your app

🎯 Keywords: Streamlit Python, Streamlit Tutorial, Streamlit Dashboard, Machine Learning Python, Machine Learning App Tutorial, Python App, Machine Learning Projects, Machine Learning Projects for Beginners, Nicholas Renotte, Patrick Loeber, AI App, AI Full-Stack App, Data Science Dashboard, Data Science Dashboard Projects

#python #streamlit #MachineLearning #DataScience