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In this video I am going to show you how to create a Private app on Shopify, and then use the API information to update products on your store. This example will demonstrate how to change the status of a product through the Shopify API using Python requests and a JSON payload. We will use a GET request to get all the product data, find the ID and then a PUT request to update a specfic data field.
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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.
This is the first 5 lessons from a new course about creating a Python web application. Converting your script into a Python web application is a great solution to make your code usable for a broad audience.
In these lessons, you’ll learn how to setup a simple Flask application and host it locally.
The rest of the course dives in deeper to how to use Google App Engine to host your application.
Click here for more info about the complete course: https://realpython.com/courses..../deploy-python-scrip
By the end of the full course, you’ll know:
- What web applications are and how you can host them online
- How to convert a Python script into a Flask web application
- How to improve user experience by adding HTML to your Python code
- How to deploy your Python web application to Google App Engine
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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In this video, I will discuss how much Python you should learn for a data analyst job.
Pandas playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
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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
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Curso de Nodejs ➜ https://youtu.be/i3OdKwuBjeM
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Variables de entorno Nodejs ➜ https://youtu.be/U6st9-lNUyY
HTML ➜ https://youtu.be/rbuYtrNUxg4
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#python #pyqt #tkinter
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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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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This video shows how to turn python apps or games into executable .exe files using the python pyinstaller module. We start by installing the pyinstaller module using pip, then convert and package a .py pygame file into one condensed executable file!
I also show how to include images and sound files in your games and how to appropriately structure the folders for your project!
Check out my personal channel for more fun science content!
https://www.youtube.com/@peterlemaster8310
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Be sure to check out the channel for tons of other great tutorials and content, and leave a like on the video, subscribe to the channel and let me know in the comments what you'd like to see next!
Thanks for watching and good luck with your projects!
Join Django & Django REST Framework Course in Udemy
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In this Python and React Native Course we are going to learn how to Build Mobile Apps with Python Backend & React Native.
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Flask and VueJS Full Stack Course (2 Hours)
https://youtu.be/nCMB5p74WJQ
Django and ReactJS Full Stack Course ( 7 Hours)
https://youtu.be/VBqJ0-imSMU
Django and VueJS Full Stack Course ( 5 Hours )
https://youtu.be/CdcIrCfDPYU
Django and React Native Creating Mobile Application ( 4 Hours)
https://youtu.be/v9S0fW8cjrw
Table Of Content
Build Mobile Apps with Python Backend & React Native
0: Introduction = 00:00:00
1: Installation = 00:01:32
2: Creating Flask Application = 00:04:39
3: SQLAlchemy Setup = 00:08:53
4: Creating Routes = 00:15:32
5: React Native Installation = 00:33:03
6: Functional Component = 00:40:23
7: Styling Component = 00:50:53
8: State & Classes = 00:56:17
9: React Native FlatList = 01:09:55
10: Fetching Data = 01:22:42
11: Create Insert Component = 01:26:49
12: React Native Navigation 5 = 01:35:49
13: React Native Inserting Data = 01:43:58
14: React Native Pull to Refresh = 01:48:36
15: React Native Details Screen = 01:52:30
16: React Native Update Data = 02:05:33
17: React Native Delete Data = 02:13:26
#Python#Flask#ReactNative
Build a modern Tkinter GUI project to automate Excel tasks with Python. This Python GUI project works as both a data entry form and an Excel viewer.
In this video, you will:
- Create your first Tkinter application
- Create a modern Tkinter app
- Use a Tkinter theme with ttk
- Create a Tkinter data entry form
- Use the Tkinter Button, ComboBox, Spinbox, Entry, CheckButton
- Style and modify Tkinter widgets
- Use both a dark and a light mode for the app
- Install openpyxl
- Load data from Excel into Python
- Use data entry form to add data into Excel
Theme Github repo: https://github.com/rdbende/Forest-ttk-theme
Source code repo: https://github.com/codefirstio/tkinter-excel-app
Timestamps:
00:00 Introduction and Overview
01:05 Forest-ttk Theme Overview
01:58 Project folder structure
03:13 Starter code
04:44 Using the theme
05:40 Understanding Tkinter geometry managers
10:16 Creating the Name entry
15:36 Creating the Age spinbox
17:56 Creating the Subscription Status combobox
20:44 Creating the Employment Status checkbutton
22:58 Creating the Insert button
23:34 Updating the padding of the widgets
25:19 Creating the separator
26:15 Creating the Mode switch
27:17 Changing between dark mode and light mode
29:34 Creating the Treeview to display the Excel data
34:21 Installing openpyxl
35:27 Loading data from Excel into the treeview
39:28 Collecting the data from the Insert Row form
42:52 Inserting the data into the Excel sheet and treeview
45:12 Clearing the form after inserting
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Learn to deploy your Dash data app to the web, using Render for no cost.
Follow and connect with the video creator, Pierre-Olivier Bonin, Data Scientist: https://www.linkedin.com/in/pierreolivierbonin/
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Doston! Video Kaisa Laga Comment me jarur batayen!
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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
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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 😉😉
Hi guys welcome to Tamil Hacks 2.0 👩💻
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In this video, you will learn how to deploy a Flask web app on a live server using a free account on pythonanywhere.com. If you don't have an app to deploy you can use the app I use in the video. You can get the source code down below. If you want to learn how to build larger Flask apps with web forms, database backends, and email sending capabilities, I recommend this popular Udemy course "The Python Mega Course: Build 10 Real World Applications":
https://www.udemy.com/course/t....he-python-mega-cours
Disclosure: I am the author.
Source code of this video:
app.py http://pythonhow.com/data/unit_converter/app.py
backend.py http://pythonhow.com/data/unit...._converter/backend.p
index.html http://pythonhow.com/data/unit_converter/index.txt
In this video you will learn to create a Langchain App to chat with multiple PDF files using the ChatGPT API and Huggingface Language Models.
Welcome to our comprehensive step-by-step tutorial on building a powerful chatbot that allows you to ask questions about your multiple PDFs using LangChain and ChatGPT API. In this project-based video tutorial, we will guide you through the process of harnessing the capabilities of LangChain, a cutting-edge framework for developing language model-powered applications.
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USEFUL LINKS
👉 Github repo: https://github.com/alejandro-ao/ask-multiple-pdfs
💬 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
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Powered by ChatGPT, an advanced AI language model, our chatbot implementation enables you to interact with your PDF documents in a whole new way. We will also explore the utilization of Huggingface language models to enhance the chatbot's performance.
Throughout this Python tutorial, you'll learn how to integrate LangChain into your application, leveraging its data-awareness and agentic features, allowing your language model to tap into various data sources and interact with its environment seamlessly.
Key Topics Covered:
- Introduction to LangChain and its principles of data awareness and agency
- Exploring the capabilities of ChatGPT API and its potential for artificial intelligence applications
- Step-by-step walkthrough on setting up the LangChain framework in Python
- Integration of Huggingface language models for enhanced chatbot functionality
- Building a project-based chatbot application that answers questions based on your PDFs
- Optimizing your chatbot for efficient and accurate responses
- Best practices for leveraging open-source GPT models, including GPT-3.5 and GPT-4
- Unlocking the potential of ChatGPT and LangChain to create innovative applications
Whether you're a developer, AI enthusiast, or simply curious about the world of artificial intelligence, this tutorial is perfect for you. Join us on this exciting journey to develop your very own PDF-powered chatbot using LangChain, ChatGPT API, and the power of Python.
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TIMESTAMPS
0:00 Intro
1:31 Setup
3:26 Create GUI
8:50 Add your API Keys
11:46 How this works (Diagram)
16:41 Handle process button
19:43 Extract text from PDFs
24:33 Split text into Chunks
29:26 Embedings
32:30 OpenAI Embeddings
36:24 Instructor Embeddings
40:57 Create ConversationChain
46:18 Make conversation persistent
50:14 HTML templates
55:04 Display Chat History
1:02:05 Free Huggingface LLM
1:06:10 Conclusion
Keywords:
#ChatGPT #streamlit #langchain #OpenAI