Microsoft Power Automate
ifttt
Make.com
Zapier
Apache Airflow
Pulover’s Macro Creator
Kissflow
AutoKey
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Microsoft Power Automate is a comprehensive, integrated automation platform with advanced digital process automation (DPA), robotic process automation (RPA), and process mining capabilities. And with the power of low-code and AI, you are in the driver’s seat to securely automate your organization at scale.
Click here to learn more about Power Automate or visit the official blog to keep up with the news.
Microsoft Power Automate PandasPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas should be more popular than Microsoft Power Automate. It has been mentiond 220 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hi, I am trying to build a no code tool workflow tool with blocks and connections between the blocks. Similar to power automate: https://powerautomate.microsoft.com/en-us/. Source: over 2 years ago
Windows has an option called Power Automate https://powerautomate.microsoft.com/en-us/ that allows for, well automating such tasks as manually copying / pasting data https://learn.microsoft.com/en-us/power-automate/getting-started. Source: over 2 years ago
Try to use automation to fill it out ( https://powerautomate.microsoft.com/en-us/ for example). Source: over 2 years ago
Https://powerautomate.microsoft.com/en-us/ might be something worth checking out if you have access. Source: over 2 years ago
What is it that you actually want to achieve? Learning Python should have an overarching goal. Like being a programmer. If you would rather not be a programmer, and you don't like programming, but you would like to automate certain things on your PC, you might as well download and install https://powerautomate.microsoft.com/en-us/ . If you intend to understand, or work with, Big Data or AI, then Python totally is... Source: over 2 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 14 days ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 5 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 6 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 6 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 8 months ago
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
NumPy - NumPy is the fundamental package for scientific computing with Python
Make.com - Tool for workflow automation (Former Integromat)
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
OpenCV - OpenCV is the world's biggest computer vision library
