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Keep exploring at http://brilliant.org/developedbyed/. Get started for free, and hurry—the first 200 people get 20% off an annual premium subscription.
In today's episode we will be building a modern python GUI app using Tkinter and CustomTkinter. We will also be integrating pytube which will allow us to download our youtube videos in different resolutions and formats.
This is a beginner python project that you can follow along without any previous python knowledge.
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#programming #python


Try Anvil: https://anvil.works/programmingwithharry
This video is sponsored by anvil. I hope you will love the ease you can build pure python web apps using anvil. Try it out and let me know what you think in the comments!


In this demo, Luciana Abud uses the Remote Containers extension in Visual Studio Code to auto configure a dev container for a FlaskAPI + PostgreSQL app. Watch how the Remote Containers extension makes it easier to set up your Dockerfile, docker-compose.yml and dev container configuration files, taking the stress out of the set up phase so you can focus on the development of your Python code!
Demo code: https://github.com/luabud/petgram
Learn more about the Remote Containers extension for Visual Studio Code: http://aka.ms/vscode-remote-containers
Python at Microsoft Discord: https://aka.ms/python-discord
Twitter: https://twitter.com/pythonvscode


Complete Python Programming Roadmap | How to Become a Python Developer - 9 LPA 🤑
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Learn how to setup and run Python on Visual Studio 2022. Visual Studio is an IDE, developed by Microsoft and used to develop websites, web apps, mobile apps, etc.
Visual Studio Tutorial: https://bit.ly/3nWleAk
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Today we will learn how to use a weather API in Python, to get information about the current temperature, humidity and more.
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Take the course for free at https://talkpython.fm/anvil-course
Building data-driven web apps is tough. Yes, Python makes it easier than most languages, but you need to know a host of different languages and technologies and they have to fit together just right. This usually includes Python, HTML, CSS, SQL, Linux, a database server, and maybe even JavaScript. But with Anvil, you can create full stack, data-driven web apps with only Python. You write Python on the backend and Python on the client-side. The HTML and CSS are handled with Anvil's drag-and-drop visual editor. The database is seamlessly connected back to your application. And this is the course to teach you how to be effective with Anvil and Python to build data-driven web applications.
![Anvil Python Framework : Create Your Apps With Only Python [ Full-Stack Dev ]](https://i.ytimg.com/vi/liZThmkIwys/maxresdefault.jpg)

Hey what's going on !
This is an introduction to a new Python technology called Anvil.
Anvil is a platform or a framework for building full-stack web applications with only Python.
Hope you enjoy this presentation, and just to clarify I'm not with or against Anvil, because I read a lot of Negative Opinions about this platform, but I can say that for each door there's a key; and maybe Anvil is a key to solve a lot of problems in companies which don't want to be bothered by all the new tech on the market ( languages, frameworks, etc... ) and want something simple to create an application quickly to do the job.
For more about Anvil, check out their website
Anvil URL: https://anvil.works
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About a month ago, I suddenly had the urge to learn how to create my own GTK application. In a community poll, I asked my viewers if I should do this using Haskell, and a large portion of the community wanted me to do it in Python instead. So ultimately, I decided to do it both ways--once in Haskell, and then again in Python.
REFERENCED:
► https://gitlab.com/dwt1/code-e....xamples/-/tree/main/ - DT's app in Haskell
► https://gitlab.com/dwt1/code-e....xamples/-/tree/main/ - DT's appp in Python
► https://github.com/gtk2hs/gtk2hs - The GTK+ Haskell Library
► https://www.muitovar.com/gtk2hs/chap2.html - Docs for Gtk2Hs
► https://python-gtk-3-tutorial.....readthedocs.io/en/la - Docs for Python GTK+
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Your support is very much appreciated. Thanks, guys!


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
--------------------------------------------------------------------------------------
https://github.com/ShaunHalverson/PythonKeylogger
Add Me On Discord!
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Username: Shaun(Hashtag)5626
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![Python for Web Development – Crash Course [API, SQL Databases, Virtual Environment, Flask, Django]](https://i.ytimg.com/vi/WNvxR8RFzBg/maxresdefault.jpg)

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
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⌨️ (1:04:56) Django Calculator App
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![How to Learn Python With Full Information? – [Hindi] – Quick Support](https://i.ytimg.com/vi/DDp22NluJw4/mqdefault.jpg)

#HowtoLearnPython #QuickSupport #Career
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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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!


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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GitHub - https://github.com/Derrick-Sherrill
*****************************************************************
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/
What Equipment do you use to film videos?
https://www.amazon.com/shop/derricksherrill
What editing software do you use?
Adobe CC - https://www.adobe.com/creativecloud.html
Premiere Pro for video editing
Photoshop for images
After Effects for animations
Do I have any courses available?
Yes & always working on more!
https://www.udemy.com/user/derrick-sherrill-2/
Where do I get my music?
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 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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🚨🚨📢📢 NEW AI Drone Programming Course 🚨🚨📢📢
https://www.kickstarter.com/pr....ojects/cvweb/ai-dron
This is the Drone programming with python course. Here we are going to learn the basics of a drone including the components and how the drone flies. Then we will look at the installations and the basic movements along with image capture. From there we will create exciting projects including Surveillance drones, Face tracking, and line following drones.
If you are a beginner don't worry this course is for you we will focus on the implementation part so that you can get the most practical experience out of this. And even though we will be using a specific drone for this course 80% of the material covered in this course can be used with any drone.
Advanced Drone Programming Course:
https://bit.ly/3qs3v5g
Buy the Tello Drone:
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Download Code:
https://www.computervision.zon....e/courses/drone-prog
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#ComputerVision
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Time Stamps:
00:00 Intro
1:00 What is a drone?
2:14 Components of a drone
05:56 How does a drone fly?
08:42 Tello Drone
11:25 App Setup and Test Run
15:07 Installations
19:21 Basic Movements
31:16 Image Capture
36:27 Keyboard Control
59:13 Project 1 - Surveillance
1:10:34 Project 2 - Mapping
1:52:15 Project 3 - Face Tracking
2:32:18 Project 4 - Line Follower


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