RapidAPI for Mac
Postman
Insomnia REST
Hoppscotch
Apigee
DreamFactory
Amazon API Gateway
MuleSoft Anypoint Platform
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
RapidAPI for Mac PandasBased on our record, Pandas should be more popular than RapidAPI for Mac. It has been mentiond 219 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.
Although Apidog is a popular REST client, you can also use others, such as Insomnia, RapidAPI for Mac, and Hoppscotch. - Source: dev.to / 5 months ago
But it can't help when faced with this complex scenario because it doesn't support set the content-type for text field of a multipart request. I tried Paw, Bruno and they didn't work either. - Source: dev.to / 5 months ago
To use Paw, purchase and download it from the Paw website. Open the app, create a new request, and start testing your API endpoints with ease. - Source: dev.to / 12 months ago
Enjoy it while it lasts: https://paw.cloud/. Really good. - Source: Hacker News / about 1 year ago
I myself use Paw [0] because it's native to MacOS, but I'm a little bit worried for it's longevity as it being supported by a SaaS business. But so far it's been great to document API for my personal projects. [0]: https://paw.cloud/. - Source: Hacker News / about 1 year ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 23 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 / about 1 month 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 / about 1 month 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 / 4 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 / 9 months ago
Postman - The Collaboration Platform for API Development
NumPy - NumPy is the fundamental package for scientific computing with Python
Insomnia REST - Design, debug, test, and mock APIs locally, on Git, or cloud. Build better APIs collaboratively for the most popular protocols with a dev‑friendly UI, built-in automation, and an extensible plugin ecosystem.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Hoppscotch - Open source API development ecosystem
OpenCV - OpenCV is the world's biggest computer vision library
