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
Pandas
Pandas is a powerful open-source library for data manipulation and analysis in Python. It offers easy-to-use data structures and analysis tools, making it valuable for data scientists, analysts, and developers working with structured data. Install and start using Pandas Python Library for Data EngineeringPandas is a powerful and popular open-source
Python
To convert JSON to CSV using Python, you can use the pandas library. What is Pandas library? Pandas is a powerful open-source library for data analysis and manipulation in Python. It offers data structures and functions that make it easy to efficiently manipulate and analyze structured data, including CSV files,
monitor
VictoriaMetrics is a fast, cost-effective, and scalable monitoring solution and time series database. It can be used as long-term storage for Prometheus, a drop-in replacement for Prometheus and Graphite in Grafana, and offers easy setup and operation. VictoriaMetrics has achieved security certifications and implements MetricsQL, an improved query language. VictoriaMetrics
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Open-source web scraping frameworks are software tools that provide a set of functionalities and APIs for extracting data from websites. They are typically used by developers, data scientists, and researchers to automate the process of gathering structured data from the web. Some common use cases for open-source web scraping frameworks
data science
Orange is a powerful and user-friendly data mining and visualization toolbox designed for both beginners and experienced users. With Orange, you can easily explore and analyze your data without the need for any programming skills or advanced mathematical knowledge. The primary goal of Orange is to make data science accessible
data analysis
RATH is not only an open-source alternative to data analysis and visualization tools like Tableau, but it goes beyond that. It revolutionizes the exploratory data analysis workflow by leveraging its augmented analytic engine to automatically uncover patterns, insights, and causal relationships. Moreover, it takes these discoveries a step further by
BI
Database visualization panels are powerful tools that allow users to visually explore and analyze data stored in databases. These panels provide an intuitive interface to interact with database data and present it in a visually appealing and easy-to-understand manner. Features * Data exploration: Database visualization panels enable users to explore large
BI
Kuwala is a data workspace that allows BI analysts and engineers to collaborate on building analytics workflows. It brings together data engineering tools like Airbyte, dbt, and Prefect into an intuitive interface. Kuwala emphasizes extendability, reproducibility, and enablement, empowering analysts and engineers to focus on their strengths. Key features include
databases
SQL Viewer and Editor is a software tool that allows users to view and edit SQL queries. It provides a user-friendly interface for writing, executing, and managing SQL statements. With a SQL viewer and editor, users can interact with databases, run queries, and perform various tasks related to database management.
Visualization
Open-source web platform used to create live reporting dashboards from APIs, MongoDB, Firestore, MySQL, PostgreSQL, and more 📈📊
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Instagram scraping, also known as Instagram data scraping, refers to the process of extracting data from Instagram. It involves using automated tools or scripts to gather information from Instagram profiles, posts, comments, hashtags, and other relevant data points. Instagram scraping can be used for various purposes, such as market research,
Scrapping
Web crawling, scraping, and spiders are all related to the process of extracting data from websites. Web crawling is the process of automatically gathering data from the internet, usually with the goal of building a database of information. This is often done by searching for links within web pages, and
Scrapping
Google Maps is a web mapping service developed by Google. It offers satellite imagery, street maps, panoramic views of streets, real-time traffic conditions, and route planning for traveling by foot, car, bicycle or public transportation. It is one of the most popular and widely used digital mapping services in the
BI
This is a small lightweight Python + JavaScript project that enables you to scrap Google Map leads in almost no time. Features 1. Scrape up to 1200 Google Map Leads in just 25 minutes, providing you with an extensive pool of potential customers to drive sales. 2. Access 30 Data Points,
data analysis
Diskover is an open source file system indexer that uses Elasticsearch to index and manage data across different storage systems. This means that Diskover is a powerful tool for system administrators to manage their storage infrastructure and make informed decisions about new infrastructure purchases. Diskover is a sustainable data management
data engineering
Quickly Extracts IP's, Email Addresses, Hashes, Files, Credit Cards, Social Secuirty Numbers and a lot More From Text
data engineering
Web data extraction (also known as web data mining or web scraping) is an incredibly useful tool for extracting valuable information from arbitrary web pages. It employs well-proven technologies such as XML and text processing to make the extraction process easy and efficient. With the help of web data extraction
macos
The Tad desktop application enables you to quickly view and explore tabular data in several of the most popular tabular data file formats: CSV, Parquet, and SQLite and DuckDb database files. Internally, the application is powered by an in-memory instance of DuckDb, a fast, embeddable database engine optimized for analytic
macos
Simple SQL Client for lightweight data analysis. Supported Databases * MySQL * PostgreSQL * Amazon Redshift * SQLite * Google BigQuery * Treasure Data * Amazon Athena Features * Run SQL queries * Save SQL queries * Draw charts * Share results Platforms macOS (Intel & Silicon) Windows, Lin
Python
In the ever-expanding world of data-driven decision-making, Python is a powerful tool, providing developers and data enthusiasts with many libraries and functions for manipulating data files. One of the most fundamental tasks in data handling involves reading and writing files, and Python offers a versatile and efficient way to tackle
data engineering
OpenMetaData is a comprehensive platform that offers a range of functionalities, including data discovery, data lineage, data quality, observability, governance, and team collaboration. It is an open-source project that has gained immense popularity among companies across various industry verticals, thanks to its vibrant community and adoption. OpenMetaData is built on
Big Data
The data quality automation plugin for data teams. Experience data quality observability in your ELT/ETL pipeline that would usually take a year to build, in just a few hours.
data analysis
DQO is a powerful DataOps friendly data quality monitoring tool that is designed to help you monitor and maintain the quality of your data. With DQO, you get access to a wide range of customizable data quality checks and data quality dashboards that make it easy to keep an eye