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In this video you will learn step by step Python Interactive Dashboard Development using Streamlit and Plotly just like PowerBI and Tableau etc.
Streamlit is a popular Python library used for building interactive web applications and dashboards. It simplifies the process of creating data-driven applications by providing a straightforward and intuitive interface. Here are some key uses of Streamlit in Python dashboards
* Rapid Prototyping:
* Data Visualization:
* User Interaction:
* Integration with Machine Learning Models:
* Sharing and Deployment:
⭐Content⭐
In this video, you will learn: ⚡
1.) Utilizing Streamlit to create interactive plots
2.) Navigating and uploading raw data into the dashboard
3.) Creating titles, headings, headers, or subheaders in Streamlit
4.) Generating segments for plots within Streamlit
5.) Adding a date picker to the dashboard
6.) Handling and transforming data using Python Pandas with Streamlit
7.) Creating a side pane with multiple select filters
8.) Transforming data using Pandas
9.) Visualizing data using Python Plotly and plotting all graphs within the Streamlit environment
10.) Performing Time Series Analysis in Streamlit
11.) Downloading or viewing data based on plots
12.) Creating a hierarchical view of sales using TreeMap
13.) Creating data tables using Plotly Figure_Factory
14.) Applying styles to data within Streamlit
15.) Viewing or downloading data using Streamlit
16.) Performing Data Analysis and Data Visualization using Python Streamlit
17.) Examples...
Overall, Streamlit simplifies the process of creating interactive Python dashboards by providing an intuitive interface, data visualization capabilities, user interaction features, and easy deployment options. It is a powerful tool for data scientists, developers, and anyone looking to showcase data and insights in an engaging and accessible manner.
Pandas and Plotly are powerful libraries that play essential roles in dashboard development.
➖➖➖➖➖➖➖➖ ➖➖➖➖➖➖➖➖
👍 Pandas:
1.) Data Manipulation
2.) Data Cleaning and Preprocessing
3.) Data Integration
4.) Data Transformation
👍 Plotly:
1.) Interactive Data Visualization
2.) Dynamic Updating
3.) Intuitive Interactivity
4.) Dash Integration
In summary, Pandas and Plotly complement each other in dashboard development. Pandas helps with data manipulation, cleaning, and preprocessing, while Plotly enables interactive and visually appealing data visualizations. Together, they empower you to build powerful and insightful dashboards that effectively present and analyze data.
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Interactive Web Portfolio using Python Streamlit : https://youtu.be/rviQtjkxQQY
Raw Data Set : https://community.tableau.com/....s/question/0D54T0000
Streamlit Emoji Icons: https://streamlit-emoji-shortc....odes-streamlit-app-g
Python Streamlit Dashboard Source Code: https://github.com/AbhisheakSa....raswat/PythonStreaml
Python Pandas Tutorial: https://www.youtube.com/watch?v=2NwUfnKhsuU&list=PLWuFHho1zKhUJpe9WfSyvrrQrzqDErbmv
Python Playlist: https://www.youtube.com/playli....st?list=PLWuFHho1zKh
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Let's automate some lights with python?
Kite helps fund the channel, thanks for checking them out and supporting me --
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=derricksherrill&utm_content=description-only
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*****************************************************************
Full code from the video:
from phue import Bridge
from ip_address import bridge_ip_address
import time
def access_lights(bridge_ip_address):
b = Bridge(bridge_ip_address)
light_names_list = b.get_light_objects('name')
return light_names_list
def film_lights():
lights = access_lights(bridge_ip_address)
for light in lights:
lights[light].on = True
lights[light].hue = 7000
lights[light].saturation = 100
def danger_mode():
lights = access_lights(bridge_ip_address)
while True:
time.sleep(1)
for light in lights:
lights[light].on = True
lights[light].hue = 180
lights[light].saturation = 100
time.sleep(1)
for light in lights:
lights[light].on = True
lights[light].hue = 7000
lights[light].saturation = 100
if __name__ == '__main__':
film_lights()
Thanks so much for all the continued support! You guys are awesome. Super thankful that I get the opportunity to make youtube videos for you all. I hope you enjoy this one - A bit different than what I typically put out, but just testing to see if it's a style that you all like. Let me know!
https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/hue_lights.py
Packages (& Versions) used in this video:
PHue - https://github.com/studioimaginaire/phue
Time
*****************************************************************
Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com
Check out my website:
https://www.derricksherrill.com/
If you liked the video - please hit the like button. It means more than you know. Thanks for watching and thank you for all your support!!
--- Channel FAQ --
What text editor do you use?
Atom - https://atom.io/
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https://www.amazon.com/shop/derricksherrill
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Adobe CC - https://www.adobe.com/creativecloud.html
Premiere Pro for video editing
Photoshop for images
After Effects for animations
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Yes & always working on more!
https://www.udemy.com/user/derrick-sherrill-2/
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I get all my music from the copyright free Youtube audio library
https://www.youtube.com/audiolibrary/music?nv=1
Let me know if there's anything else you want answered!
-------------------------
Always looking for suggestions on what video to make next -- leave me a comment with your project! Happy Coding!
In this Video I am going to show How to Download and install Anaconda (Python distribution) on your Windows 10 operating system. So what is Anaconda ? Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications. It can be installed on Windows, Linux, and MacOS.Conda is an open source, cross-platform, package management system. Anaconda comes with so very nice tools like: JupyterLab, Jupyter Notebook,
QtConsole, Spyder, Glueviz, Orange, Rstudio, Visual Studio Code.
I will also show How to use Jupyter Notebook and How to use Spyder using Anaconda.
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DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
In this video, learn how to download and install Python's Latest Version on Linux. We will also install PIP, which is used to download, install and manage Python packages and libraries.
Python Tutorial (English): https://youtu.be/HSbyBwmEOQk
Python Tutorial (Hindi): https://youtu.be/b97WsOM9BYg
Python (Study Material): https://studyopedia.com/tutorials/python3
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👉 About Amit Thinks YouTube Channel
I am Amit Diwan, a self-made Entrepreneur, running "Amit Thinks", a Tech YouTube Channel. Also running an E-Learning website "studyopedia.com". We publish videos in English and Hindi on Programming, Databases, and Web Dev Technologies. I have left a job offer from Accenture and 3 government jobs to follow my dream of being an entrepreneur.
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Today we learn how to properly import your own Python modules and also what the __init__.py file is about.
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In this tutorial we build a stock prediction web app in Python using streamlit, yahoo finance, and Facebook Prophet
NOTE: Some have trouble installing this on Windows because of pystan: Follow the official docs (https://facebook.github.io/pro....phet/docs/installati which shows how to install it for Windows and Linux. Or a simpler way would be to use Anaconda and then: conda install -c conda-forge prophet.
Get my Free NumPy Handbook:
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If you enjoyed this video, please subscribe to the channel!
Code:
https://github.com/patrickloeber/python-fun
Credits:
https://github.com/Conformist1....01/streamlit_stock_p
Streamlit Tutorial: https://youtu.be/Klqn--Mu2pE
Resources:
https://www.streamlit.io/
https://facebook.github.io/prophet/
You can find me here:
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GitHub: https://github.com/patrickloeber
#Python
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Create a local development server for Python apps with Vagrant, VirtualBox, Salt and Python3.
GitHub Code: https://github.com/LondonAppDe....v/video-tutorial-pyt
Before getting started, here are the requirements to install locally:
Git-SCM: https://git-scm.com/
VirtualBox: https://www.virtualbox.org/
Vagrant: https://www.vagrantup.com/
In this video I'm going to show you how to make a local development server for Python applications using VirtualBox and Vagrant.
So I've created a Vagrant box which I'm going to show you how to clone so that you can get up and running with a local Python development server in a matter of minutes.
00:00 Introduction
00:31 Install VirtualBox from virtualbox.org https://www.virtualbox.org/
00:46 Next install Vagrant https://www.vagrantup.com/
00:51 Install git https://git-scm.com/
01:23 Introduction to the base project we’ll be using called video-tutorial-Python-DRF-intro https://github.com/LondonAppDe....v/video-tutorial-pyt
01:55 Start by cloning the base project
02:10 Go to terminal or command prompt and change to a directory where you’ll want to keep your project files
02:23 Change directory using the CD command and then type git clone and then paste the URL of the repository there.
02:59 To launch server head into the deploy file and type vagrant up and enter.
03:46 From deploy folder type vagrant up to run your server
04:26 Open the project files in your favorite text editor
04:36 Type vagrant up to build a server to the specifications defined in that Vagrant file.
04:57 Type vagrant SSH to connect to your local development server.
06:31 Inside the vagrant.configure statement we define the box.
07:31 Type a local host port 8000 to map to development server.
08:34 Create a new file called HelloWorld.py
09:41 Use a salt provisioner, saltstack to define what you want installed on your server
10:37 Because the salt provisioner uses git, do this manual shell command to install Python git
12:01 Server is set up and we created our hello world file.
12:13 Install virtual env wrapper
14:36 Intro to Installing packages in our virtual environment
Let me know how you get on. If you have any questions at all then please feel free to leave them in the comments and thanks a lot for watching.
Cheers.
Check out my tutorials on http://www.londonappdeveloper.com/
Learn how to build a backend using Python & Django REST Framework: https://www.udemy.com/build-yo....ur-own-backend-using
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How to Learn Python With Full Information? – [Hindi] – Quick Support. आज की इस विडिओ में हम जानेंगे कि क्यों पाइथन इतना पॉपुलर हो रहा है, पाइथन को कहाँ से सीखा जा सकता है और कौन-कौन सी चीजें सीखना जरुरी है. अंत में हम आपको कुछ जरुरी टिप्स भी देंगे इसलिए विडिओ को पूरा जरूर देखें.
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Learn the basics of using Python for web development in this crash course. Through a series of short projects, you will learn about a variety of concepts such as APIs, SQL Databases, Virtual Environments & more.
✏️ Course developed by CodeWithTomi. Check out his channel: https://www.youtube.com/c/CodeWithTomi
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⭐️ Course Contents ⭐
️⌨️ (0:00:00) Intro
⌨️ (0:01:15) SQL In Python
⌨️ (0:17:08) APIs In Python
⌨️ (0:26:38) Classes and Objects In Python
⌨️ (0:40:00) Web Scraping In Python
⌨️ (0:49:54) Virtual Environments
⌨️ (0:52:26) Flask Setup
⌨️ (0:58:55) Django Setup
⌨️ (1:04:56) Django Calculator App
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In this Docker Tutorial I show how to get started with Docker for your Python Scripts and Python Web Apps. We look at two different projects and build Docker Containers for a Python script and for a web application using FastAPI (works the same for Flask). This also demonstrates how to dockerize a virtual environment.
~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~
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If you enjoyed this video, please subscribe to the channel:
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Timestamps:
00:00 - Introduction
02:42 - Example 1: Python Scripts
09:14 - Example 2: Web App
Resources:
https://www.docker.com/
https://fastapi.tiangolo.com/
Movies Web Scraping Tutorial:
https://youtu.be/FoPPgcpSmNs
FastAPI Tutorial:
https://youtu.be/0RS9W8MtZe4
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#Python #docker
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Este es una lista de 6 Frameworks, SDKs y Toolkits de desarrollo de interfaces graficas de usuario desarrolladas en Python, entre estas podemos encontrar a tkinter, PyQT, WxPython, DearPyGUI, Flet y muchas otras.
Este video es a modo informatico para aquellos desarrolladores y programadores de Python que ya estudiaron las bases del lenguaje de programación y ahora quieren crear apps de escritorio con lo que han aprendido.
Articulo con más opciones para crear aplicaciones desktop en Python:
https://faztweb.com/contenido/....python-frameworks-de
🎥 Videos Recomendados:
Curso de React ➜ https://youtu.be/rLoWMU4L_qE
Curso de React Router DOM v6 ➜ https://youtu.be/7xRVnmWcTE8
Excalidraw (Herramienta de dibujo) ➜ https://youtu.be/KjyBL60uFL0
Curso de Nodejs ➜ https://youtu.be/i3OdKwuBjeM
Curso de Express ➜ https://youtu.be/JmJ1WUoUIK4
Curso de JSON ➜ https://youtu.be/LJzDHKPLWYw
Curso de Git ➜ https://youtu.be/HiXLkL42tMU
Variables de entorno Nodejs ➜ https://youtu.be/U6st9-lNUyY
HTML ➜ https://youtu.be/rbuYtrNUxg4
CSS ➜ https://youtu.be/W6GTDfrWjXs
Javascript Orientado a Objetos ➜ https://youtu.be/N_t1A39IB_8
Arrays en Javascript ➜ https://youtu.be/qqR1enOceVg
ES Modules ➜ https://youtu.be/0t-Le4kdaMg
👨💻 ¿Qué servicios y productos utilizo?
Ledger (Hardware Wallet) ➞ https://bit.ly/3ijsVNW
SiteGround ➞ https://bit.ly/31u9ZEk
DigitalOcean ➞ https://m.do.co/c/8ef261d77de5
Expo ➞ https://bit.ly/2WpYKtx
Cloudinary ➞ https://bit.ly/3ohNlJ7
#python #pyqt #tkinter
Build a discord-like application with Python Django. Visit the finished application at https://studybuddev.herokuapp.com/
Get The Full Django Beginners Course:
https://dennisivy.teachable.com/p/django-beginners-course/?product_id=3222835&coupon_code=BRAD
Use promo code BRAD for 50% off
Dennis Ivy YouTube Channel:
https://www.youtube.com/c/dennisivy
Code For This Project:
https://github.com/divanov11/StudyBud/
Timestamps:
00:00 - Intro
1:10 - Product Demo
4:04 - Prerequisites
5:27 - What is Django
12:52 - Resources & Environment Setup
15:59 - Installation & Setup
31:28- Views & URL's
39:55 - Templates
1:04:25 - Database & Admin Panel
1:39:00- CRUD
2:06:22 - Search
2:22:27 - User Login
2:32:25 - Flash Messages
2:39:03- User Logout
2:41:45 - Restricted Pages
2:49:00 - User registration
3:01:25 - Chat Room Messages CRUD
3:27:30 - Activity Feed
3:43:00 - User Profile Page
3:53:25- Static Files
4:02:15 - Theme Installation
5:11:50 - Edit User Account Page
5:35:02 - Mobile Responsiveness
5:53:00 - Django REST Framework
6:25:43 - Customizing User model
6:37:35 - Integrating Custom User Model
👀 Follow us on [LinkedIn] 👉 https://aka.ms/LI-YT
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Get started from scratch in this short overview of Visual Studio Code & writing / executing JavaScript, Python, previewing HTML and more.
0:00 Intro
0:20 Open folder / Set workspace
0:52 UI Tour
2:00 Create new JavaScript file
2:20 Intellisense
2:55 Save / Autosave
3:25 Create python file
3:45 Add python extension
4:28 Drag & drop external HTML file
5:00 Preview HTML output with Live Preview extension
6:00 Changing themes
6:50 Summary
Host: @ReynaldAdolphe
And TikTok at https://www.tiktok.com/@vscode
#vscode
Stay tuned for more content as we continue our journey through the Backend Dev! 🚀 and make sure to explore the upcoming courses at https://sheryians.com/
Instructor in this video: Ankur Prajapati
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Peace out ✌
#sheryianscodingschool #sheryians #reactjs #mernstack #mern #web #reactjscourse #tutorial #creativewebdevelopment #webdevelopment #functionalwebdevelopment #thebasics #mernstack #jslogic #javascriptlogics
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In this Python Flask Tutorial, we will be learning how to get started using the Flask framework. We will install the necessary packages and get a basic Hello World Application running in our browser. Let's get started...
The code for this series can be found at:
https://github.com/CoreyMSchaf....er/code_snippets/tre
Django Tutorials to create this same application:
https://www.youtube.com/playli....st?list=PL-osiE80TeT
Python Installation:
https://youtu.be/YYXdXT2l-Gg
Virtual Environment Setup:
https://youtu.be/N5vscPTWKOk
https://youtu.be/cY2NXB_Tqq0
Sublime Text Setup:
https://youtu.be/xFciV6Ew5r4
If name equals main explanation:
https://youtu.be/sugvnHA7ElY
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#Python #Flask
In this video, I will discuss how much Python you should learn for a data analyst job.
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Hey guys!
In today's video, we discuss how to write a keylogger in Python. A keylogger logs all keys on your keyboard and hides in the background. This is a common tool used by hackers for stealing all kinds of information from users without them even knowing. Please don't do this for real! Learning purposes only :D Enjoy!
These projects are available on GitHub at
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https://github.com/ShaunHalverson/PythonKeylogger
Add Me On Discord!
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Username: Shaun(Hashtag)5626
Software Engineering / Programming for beginners / variables types / computer science /compsci / coding for beginners / learn how to program / learn how to code / python variables / python for beginners / coding tutorial / programming tutorial
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