data science
300+ Open-source Free Tools for Data Scientists
Unveiling the Essence of Data Science
data science
Unveiling the Essence of Data Science
data engineering
Dubai's Digital Transformation: Pioneering the Future with Automation and Data Engineering
Healthcare
When healthcare IT meets data engineering, patient care and medical research are poised to interact and intertwine in ways not previously seen. The integration of these fields is creating new opportunities for innovation in health services, allowing professionals to deliver more personalized and efficient care, and giving patients the promise
data science
What is Ipyvolume? Ipyvolume is an innovative application designed for 3D plotting in Python, specifically within the Jupyter notebook environment. Using WebGL and IPython widgets, it provides a robust platform for visualizing complex data in three dimensions. Its capabilities include volume rendering, scatter plots, quiver plots, isosurface rendering, and lasso
List
Welcome to an exhaustive list of over 30 data visualization libraries, frameworks, and applications. These tools span across a myriad of platforms and programming languages, providing you with the capability to present complex data in visually appealing and accessible ways. These solutions cater to a wide range of needs, whether
Artificial Intelligence (AI)
What is Text annotation? Text annotation is the process of associating labels or tags to specific parts of a text, such as phrases, words, or sentences. The aim is to provide additional information about the text, which can then be used for further analysis or processing, particularly in the field
Scrapping
news-please is an open-source news crawler that extracts structured information from news websites. It uses libraries like scrapy, Newspaper, and readability, and can follow internal hyperlinks and read RSS feeds to fetch both recent and archived articles. It also features a library mode for Python developers and can extract articles
Python
Before we start, it is important to add the following Disclaimer by the project creators. Disclaimer for Google Maps Scraper Project This Google Maps Scraper is provided for educational and research purposes only. By using this Google Maps Scraper, you agree to comply with local and international laws regarding data
databases
An SQL Viewer is a valuable tool for various professionals and students involved in working with databases, offering a convenient and efficient way to interact with and analyze data using SQL queries.
data science
DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Features * Profiles and analyzes your database within minutes! * Access almost any datastore
data engineering
Trowser is a browser for large line-oriented text files, implemented in 3 alternate programming languages: Tcl/Tk, Python and C++/Qt. Compared to plain text viewers, trowser adds color highlighting, a persistent search history, graphical bookmarking and a separate search result window. The search window is especially designed to be
Big Data
Talend Open Studio for Big Data is a powerful and versatile software solution designed to facilitate the integration and transformation of big data using Hadoop and NoSQL technologies. Whether you are working with massive datasets or complex data processing tasks, Talend Open Studio for Big Data provides the necessary tools
Big Data
Think of the term Big Data as a way to funnel multiple data streams into one medium in order to analyze it. And by analysis, we mean fishing out trends as well as insights. This isn’t a new concept; it’s been around since the 1950s and has been
Pandas
Pandas is an incredibly popular open-source data manipulation and analysis library for Python. It has gained immense popularity due to its ability to simplify complex data handling tasks. With Pandas, you can effortlessly work with various data structures and leverage a wide range of data analysis tools to manipulate and
Self-hosted
CKAN is an open-source data management platform and self-hosted data portal that is widely used by various organizations and governments around the world. It plays a crucial role in facilitating the publication, management, and sharing of data. With CKAN, organizations and governments can effectively store, organize, and distribute their data,
List
What is a Data Dashboard A data dashboard for business intelligence is a powerful tool that enables organizations to make sense of their data and gain valuable insights. It provides a visual representation of key metrics, trends, and performance indicators, allowing users to monitor and analyze data in real-time. Benefits
low-code
What are Internal Tools? Internal tools refer to software applications or systems that are developed and used within an organization to support internal processes and operations. These tools are specifically designed to meet the unique needs and requirements of the organization. Why Enterprises Need Internal Tools? Enterprises may need to
List
What is a log file? A log file is a file that records events, actions, and system messages generated by various software applications, operating systems, or devices. It serves as a detailed record of activities and can be useful for troubleshooting, analysis, and auditing purposes. What is a log file
Open-source
Qri CLI is a dataset version control system built on the distributed web
data analysis
Seal Report is an open-source reporting tool for .NET that allows users to create and customize reports from various data sources. It offers a user-friendly interface, scheduling capabilities, and exporting options in different formats, making it ideal for data analysis and business intelligence. Features * Dynamic SQL sources: Use either your
Python
There are several reasons why you might need to convert JSON to CSV and vice versa in Python: 1. Data Transformation: JSON and CSV are two common formats for storing and exchanging data. Converting between them allows you to transform and manipulate data in different ways based on your needs.
Python
Python is widely recognized as a high-level programming language, lauded for its simplicity and readability. It enjoys extensive usage across diverse domains, including web development, data analysis, artificial intelligence, and scientific computing. Python's syntax empowers programmers to compose code that is clear and concise, making it an ideal
Tutorials
In this tutorial, we will explore how to use Pandas to visualize data. We will cover various techniques and code snippets to create insightful visualizations. Let's dive in! 1- Import the necessary libraries: import pandas as pd import matplotlib.pyplot as plt 2- Load the data into a
code
To filter data using Pandas, one effective approach is to utilize boolean indexing. This powerful technique allows you to select rows from a DataFrame based on specific conditions. By applying boolean indexing, you can easily extract the desired subset of data that meets certain criteria. Below, I have provided some