Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
htm.java
Exploratory
WEKA
n8n.io
Zapier
Make.com
ifttt
Microsoft Power Automate
Node-RED
Apache Airflow
Huginn
PandasPandas might be a bit more popular than n8n.io. We know about 219 links to it since March 2021 and only 182 links to n8n.io. 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / 6 days 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 / 22 days 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 / 26 days 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 / 3 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 8 months ago
To set up such a system, developers can take advantage of tools like n8n – a modular tool to automate workflows, combined with the newest AI tools like GPT-4. Here’s a more detailed explanation. - Source: dev.to / 5 days ago
The app is actually called n8n - https://n8n.io/. - Source: Hacker News / 6 days ago
For those interested in elevating their automation capabilities, n8n offers an array of integrations worth exploring. Visit n8n.io if you're intrigued. - Source: dev.to / 25 days ago
If you're thinking of exploring similar automation paths, I highly recommend n8n. It's an excellent platform that offers great flexibility to build your AI workflows. Check it out at n8n.io and see how it might simplify your processes as it has mine. 🚀. - Source: dev.to / 28 days ago
Want to automate tasks using n8n but prefer to fully control your infrastructure? By self-hosting n8n on a Linux Ubuntu server, you can cut down costs and manage your data yourself! - Source: dev.to / about 1 month ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Make.com - Tool for workflow automation (Former Integromat)
OpenCV - OpenCV is the world's biggest computer vision library
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.