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(Sermon 532 - Part 2 of 4)
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*Today's Featured Sermon:* How To Be Blessed God's Way
(Sermon 532 - Part 3 of 4)
I walk through how to deploy Python Flask applications to Google Cloud Platform as an alternative to Heroku or AWS for PaaS.
1. Create a new project in Google Cloud console
2. Activate cloud shell button (top right)
3. Clone Google's repo at https://github.com/GoogleCloud....Platform/python-docs into the project
4. Click on Open Editor (within the Cloud shell)
5. Expand appengine, flexible, hello_world (confirm you can see the .py file for the Flask example)
Note that the file: app.yaml is where you add additional PaaS config settings for GCP
6. In the console, cd to the hello_world dir and run command: gcloud app deploy
7. If you are asked to set PROJECT_ID, run following command: gcloud config set project [PROJECT_NAME]
8. After a few minutes, your project should be live and it will have a link you can go to access your application!
In this tutorial, you'll learn how to create a simple desktop application using Python and Visual Studio 2022. This step-by-step guide is perfect for both beginners and experienced developers looking to get started with desktop app development in Python.
First, you'll install Visual Studio 2022 and ensure the Python development workload is selected. This setup provides all the necessary tools for Python development. Once installed, you'll create a new Python project in Visual Studio, naming it something like "MyFirstDesktopApp."
Next, you'll dive into coding by importing the Tkinter library, which is essential for creating graphical user interfaces in Python. You'll learn how to set up a basic window with a title and a specific size (400x300 pixels). Additionally, you'll configure the background color of the window to light blue, making your app visually appealing.
The tutorial then guides you through adding a label widget that displays "Hello, World!" and a button widget. When clicked, this button changes the label text to "Button Clicked!" This interactive element demonstrates how to handle user input and update the UI dynamically.
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On this video I show you how to deploy your Python application on a cloud service called PythonAnywhere. Be sure to check them out, they offer a free tier service so you can host your Python web app for free.
PythonAnywhere:
https://pythonanywhere.com/
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Watch: http://youtu.be/fuV7FxBsXH4
Si ya has estudiado las bases de Python, y ahora quieres crear aplicaciones web usandolo, esta es una lista de Frameworks de Python para crear aplicaciones Web Backend dinámicas, entre estos podemos encontrar a los 3 Frameworks más populares que serian Flask, FastAPI y Django, aunque también se mencionarán otros más.
Flask: https://flask.palletsprojects.com/en/2.2.x/
FastAPI: https://fastapi.tiangolo.com/
Django: https://www.djangoproject.com/
Articulo del video:
https://faztweb.com/contenido/....frameworks-web-pytho
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#python #django #fastapi
In this Python Programming Tutorial for Beginners video I am going to show you How to Install Pip packages on Ubuntu 18.04 or How to use Ubuntu 18.04 Linux for installing and managing Pip and PyPI (Python Package Index) Python packages. So What Is PIP for Python? The pip is a command line tool for installing and managing Python packages, which a generally available in the Python Package Index. The official website for Python Package Index (PyPI) is https://pypi.org. PyPI enables us to find and install python related software developed and shared by the Python community. How to Install PIP for Python on Windows, Mac, and Linux ?
So let us see How to Install Python Pip On Ubuntu 18.04?
Give the following command to get the help:
pip --help
Usage:
pip [command] [options]
Commands:
install Install packages.
download Download packages.
uninstall Uninstall packages.
freeze Output installed packages in requirements format.
list List installed packages.
show-Show information about installed packages.
check-Verify installed packages have compatible dependencies.
config - Manage local and global configuration.
search-Search PyPI for packages.
wheel-Build wheels from your requirements.
hash-Compute hashes of package archives.
completion-A helper command used for command completion.
help Show help for commands.
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How to setup Python on Visual Studio Code (vscode)
Install Python: https://www.python.org/
Install Visual Studio Code: https://code.visualstudio.com/
After installing python, open the command prompt/terminal, and type in python --version or py --version. If you have installed python successfully, you will see the version of python you have.
Open vscode, and create new file. Name it whatever you want, but be sure to include the .py extension.
On the left, click the extensions icon, and search for Python. Install the python extension by Microsoft. This will allow for Python support in vscode.
Then, search for code runner and install the extension. This will add a run button at the top right of your vscode. Clicking this button will run your python code.
To have code runner output to the terminal instead of the built-in output console, click the settings icon (gear icon) on the bottom left corner. Scroll down until you see Code Actions on Save. Click settings.json and the file will open.
Add this line inside the json file: "code-runner.runInTerminal": true,
After that, you are all set!
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In this video we learn how to develop graphical user interfaces in Python, by using PyQt5.
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Until recently, I was able to finally figure out the workflow that I am satisfied with connecting to Microsoft Graph API to automate different Office applications. So in this tutorial, I will show you how to setup and connect to Microsoft Graph API in Python first, then I will cover how to automate different office web applications such as OneDrive, OneNote, Outlook, and other applications.
PS: this approach will work with both personal and work accounts.
► Reference:
-------------------------------------------------------------------------------------------
📑 ClientApplication class reference: https://docs.microsoft.com/en-....us/python/api/msal/m
📺 Start calling the Microsoft Graph API in under 5 minutes! | Tips & Tricks: https://www.youtube.com/watch?v=f_3wc4UgqTI
📑 Microsoft Graph Explorer: https://developer.microsoft.co....m/en-us/graph/graph-
📑 Getting Started With Google API: https://youtu.be/I5ili_1G0Vk
► Follow Up Videos:
---------------------------------------------------------------------------------------------------------------
📺 Create Access Token To Microsoft Graph API In Python: https://youtu.be/7ywUs54eGBo
📺 Save Microsoft Graph API Token In A Token File: https://youtu.be/AjOfAQCZsJU
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► Timestamp
00:00 - Microsoft Graph API Overview & Agenda
02:13 - Setting Up App (App registrations)
03:26 - Dive into the Python Script
08:17 - Install MSAL Python Package
08:53 - Authenticate with Authorization Code (Method 1)
21:05 - Authenticate By Log In (Method 2)
#GraphAPI #AzureCloud #Azure
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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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.
My new HTML5 & CSS3 COURSE IS OUT NOW!
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In todays episode we are going to take a look on how we can build out a python gui app.
In todays era of improving our workflow, we are going to build an app that lets us auto open up a bunch of other apps that we would normally use. You can imagine it as being a workspace opener.
If you want to learn more about python or you are a python beginner this is a great tutorial for you to build out some practical apps.
All the code will be available on patreon.
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#python #programming
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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
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#vscode
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.
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Building the right projects on your resume is the one way that you can put yourself ahead of other candidates and get that software engineer job if you don’t have a CS degree or any previous experience.
This is because let’s face it, when you’re looking for your first job, the employer needs evidence that you can do the job. And by building projects, you can show that. But you also need to build the right projects that show the few key skills that employers are looking for.
In this video, I will give you 5 options for these exact projects that you can build just using Python and even finish in a single weekend, including a step-by-step plan on exactly how to build all these projects, and btw you don’t require any prior knowledge of any of the tools I will talk about for any of these.
CHAPTERS:
0:00 What it takes to succeed
2:13 Project 1
3:20 Project 2
4:52 Project 3
6:30 Project 4
7:36 Project 5
8:50 How to get a $70k+ job
This video is about: how to learn programming,how to learn to code,learn to code,coding,programming,software engineer,software engineering,software development,self taught programmer,data science,how to become a software engineer,self-taught software developer,no cs degree,frontend developer,learn computer science,learn faster,no college,programmer,python project,python tutoria,best python projects,python for beginners
DISCLAIMER: some of the links in the description may be affiliate links. If you purchase a product or service using the links that I provide I may receive a small commission. This is no extra charge to you! Thanks for supporting Internet Made Coder :)
This video show a demonstration on how to create a graphical user interface (GUI) using Python's Tkinter module. You can find out more about Tkinter by reading the docs here: https://docs.python.org/3.8/library/tkinter.html
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Learn Django and start building amazing back-ends! 🚀 Get 6 months of PyCharm FREE with the coupon in the description!
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TABLE OF CONTENT
0:00:00 – Introduction
0:00:58 – Prerequisites
0:01:38 – How to Take this Course
0:02:40 – Getting Started with Django
0:03:19 – What is Django?
0:06:08 – How the Web Works
0:10:32 – Setting Up the Development Environment
0:12:33 – Creating Your First Django Project
0:18:44 – Using the Integrated Terminal in VSCode
0:22:05 – Creating Your First App
0:25:36 – Writing Views
0:27:27 – Mapping URLs to Views
0:32:10 – Using Templates
0:36:19 – Debugging Django Applications in VSCode
0:44:11 – Using Django Debug Toolbar
0:48:37 – Building a Data Model
0:49:21 – Introduction to Date Modeling
0:52:00 – Building an E-Commerce Data Model
0:56:35 – Organizing Models in Apps
💡 Why Django?
- Python's top web framework – popular with startups to giants.
- Build powerful back-ends fast.
- High-demand developer skill.
👉 This tutorial is perfect for you if:
- You know basic Python.
- Want to build complex web applications.
- You're aiming for a back-end development career.
Let's get coding!
#django #python #webdevelopment #backend #coding