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Microsoft Bing News Search API VS Pandas

Compare Microsoft Bing News Search API VS Pandas and see what are their differences

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  3. » Reviews
  4. » Alternatives

Microsoft Bing News Search API logo Microsoft Bing News Search API

Integrate news search functionality into your apps with the Bing News Search API from Microsoft Azure. Try the news API online to see it in action.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Microsoft Bing News Search API Landing page
    Landing page //
    2023-01-29
  • Pandas Landing page
    Landing page //
    2023-05-12

Microsoft Bing News Search API features and specs

  • Comprehensive News Coverage
    Bing News Search API provides extensive news coverage from a wide range of sources, ensuring users get diverse perspectives on current events.
  • Advanced Filtering Options
    The API offers advanced filtering options such as category, freshness, and location, allowing developers to refine search results to meet specific needs.
  • Real-time Updates
    It provides real-time news updates, ensuring that users have access to the latest information as it becomes available.
  • Ease of Integration
    Designed for easy integration into applications and websites, it allows developers to quickly implement news search capabilities.
  • Rich Metadata
    The API returns results with rich metadata, including publisher, date, and category information, which can be utilized for more detailed analyses.

Possible disadvantages of Microsoft Bing News Search API

  • Subscription Cost
    The use of Bing News Search API incurs costs associated with subscription plans, which might be a limitation for startups or individual developers with limited budgets.
  • Rate Limiting
    API requests are subject to rate limiting, which could inhibit applications with high frequency or volume of news query requirements.
  • Dependency on Network
    Being a cloud-based service, its performance is dependent on network quality and availability, which might be a drawback in areas with poor connectivity.
  • Potential for Bias
    Since the API aggregates news from various publishers, there is a potential risk of inherent bias in the news content that might not align with all users' expectations.
  • Limited Free Tier
    The free tier has limitations on usage, which might not be sufficient for growing applications or businesses requiring extensive news data.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Microsoft Bing News Search API videos

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Pandas videos

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Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to Microsoft Bing News Search API and Pandas)

Microsoft Bing News Search API

Pandas

APIs
100 100%
APIs
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
News
100 100%
News
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft Bing News Search API and Pandas

Microsoft Bing News Search API Reviews

Top 11 Best News APIs for developers in 2021
API capabilities: The Bing News Search API enables developers to send search queries to the platform and receive comprehensive results of the most recent news, interesting articles, trending topics, and images from around the world. Topic, publisher details, local news, and other searchable metadata can be used to filter query results.
Source: rajat-testprepkart.medium.com

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. 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.

Microsoft Bing News Search API mentions (0)

We have not tracked any mentions of Microsoft Bing News Search API yet. Tracking of Microsoft Bing News Search API recommendations started around Mar 2021.

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 5 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # 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 / 21 days ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    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 / 25 days ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    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
  • Sample Super Store Analysis Using Python & Pandas
    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
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What are some alternatives?

When comparing Microsoft Bing News Search API and Pandas, you can also consider the following products

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

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