LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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Stock News API
Athena News API
News API
Perigon
AYLIEN News API
News API by ContextualWeb
Scout Finance
News API by Contify
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Stock News API 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.
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Based on our record, Pandas seems to be a lot more popular than Stock News API. While we know about 219 links to Pandas, we've tracked only 5 mentions of Stock News API. 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.
There are a few ways to scrape stock market news data from the internet in Python — we can parse HTML directly using libraries like beautiful soup, or we can pay for an API that gives us news data directly without the hassle. Some great finance news API options include IEX Cloud, EOD Historical Data, and StockNewsAPI; each has its own pros and cons, which we talk more about in the video at the bottom of this page. Source: over 3 years ago
It looks like it relies on whatever curation https://stocknewsapi.com/ provides. So "moderation"/curation is being done, but not by steez. - Source: Hacker News / almost 4 years ago
@paulpauper, it's pretty much a UI on top of the awesome Stock News API (https://stocknewsapi.com). I really just built it to get acquainted with Elixir + Phoenix, and wanted to share it with the community :). - Source: Hacker News / almost 4 years ago
Hey @jedwhite! Thanks, I appreciate the feedback! Yeah I'm pretty much relaying from https://stocknewsapi.com :) I've been using them for about 2 years and they have an awesome team and service. - Source: Hacker News / almost 4 years ago
Thanks, much appreciated! I'm glad you find it somewhat useful :) Honestly, it was super simple to put together; I pull data from https://stocknewsapi.com, which I've found to be very high quality and reliable (I'm using their sentiment classifications as well, so not exactly sure what model is behind that). The project isn't currently open source, but I'm definitely considering it. I built it with Elixir +... - Source: Hacker News / almost 4 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 28 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 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 / 9 months ago
Athena News API - Powering data-driven insights from the world’s headlines.
NumPy - NumPy is the fundamental package for scientific computing with Python
News API - Get live headlines from a range of news sources
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Perigon - We are a news intelligence platform built to improve the quality of information that you consume.
OpenCV - OpenCV is the world's biggest computer vision library