Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
API List
Abstract APIs
PublicAPIs
JSONREPO
Mocklets
APIVerve
RapidAPI
APILayer
Pandas API ListPandas 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.
API List is recommended for developers, software engineers, and project managers who are seeking new APIs to integrate, particularly those who are in the early stages of project planning and need an efficient way to explore available options.
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Based on our record, Pandas seems to be a lot more popular than API List. While we know about 219 links to Pandas, we've tracked only 18 mentions of API List. 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 / about 2 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 / 2 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 / 2 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 / 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 / 10 months ago
This simple and intuitive website categorizes APIs (and allows for multiple categories per API). Some social aspects are introduced; like upvotes, comments, list of companies using the API. - Source: dev.to / 6 months ago
If you haven’t tried it yet, I recommend writing a simple code snippet to fetch data from an API. You can start with a fun API to experiment with. Plus, all the examples and code snippets are available in this repository for you to explore. - Source: dev.to / 10 months ago
I don't know any good ones specifically, but https://apilist.fun was helpful back when I was playing around. Source: about 2 years ago
Public-api Github Repo : https://github.com/public-apis/public-apis Rapid API : https://rapidapi.com/collection/list-... API House : https://apihouse.vercel.app/ Free APIs: https://free-apis.github.io/#/ Dev Resources : https://devresourc.es/tools-and-utili... AnyApi: https://any-api.com/ Public Apis : https://public-apis.io/ API List : https://apilist.fun/ Public APIs: https://public-apis.xyz/ Public... - Source: dev.to / about 2 years ago
There are hundreds of APIs available for you to use in your projects. API List is a comprehensive list of publicly available APIs and links to the documentation and other important information for each API. - Source: dev.to / over 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Abstract APIs - Simple, powerful APIs for everyday dev tasks
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
PublicAPIs - Explore the largest API directory in the galaxy
OpenCV - OpenCV is the world's biggest computer vision library
JSONREPO - JSONREPO is an API platform created for developers seeking fast, reliable, and scalable APIs
