Microsoft PowerApps VS Python

Microsoft PowerApps Reviews

Python Reviews

Microsoft PowerApps mentions (12)

• Are Exchange Shell skills still valuable?

  On-prem exchange is phasing out quickly, but those skills can still be very useful in MS Powershell/PowerApps. Source: about 1 year ago

• Looking for a simple solution.

  If you have an Office 365 license (likely if you're using Excel), Microsoft PowerApps are a decent option for a low code platform. You can create a SQL Server to hold the data and connect it to PowerApps to view/edit the data. Source: about 1 year ago

• Use Power Automate to Retrieve Data from an Azure Function for Reporting

  This post explores how to automate the process using Power Automate. If you haven’t used Power Automate before it’s part of the Power Platform suite of tools that includes Power Platform, Power Pages, Power Virtual Agents, andPower BI. - Source: dev.to / over 1 year ago

• Finding the right low-code platform has been very stressful/confusing

  PowerApps (obviously) - https://powerapps.microsoft.com/en-us/ - Created by Microsoft, it's easy to use but can be a bit expensive side. You do get value for your money. Source: almost 2 years ago

• Are there any benefits to learn coding that can help with recruiting practices?

  Microsoft's Power Platform comes to mind - Power Apps and Power Automate specifically. You can automate a whole host of things with Power Automate, such as engagement with Microsoft Forms, emails, approvals, etc. Source: over 2 years ago

Python mentions (280)

• Python String Formatting: A Comprehensive Guide to F-strings

  F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 2 months ago

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 3 months ago

• A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices

  Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 4 months ago

• Building Fast APIs with FastAPI: A Comprehensive Guide

  FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 4 months ago

• Can I become Python expert in 44 Days?

  When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago