pyreports is a python library that allows you to create complex reports from various sources such as databases, text files, ldap, etc. and perform processing, filters, counters, etc. and then export or write them in various formats or in databases.
How does pyreports work?
pyreports wants to be a library that simplifies the collection of data from multiple sources such as databases, files and directory servers (through LDAP), the processing of them through built-in and customized functions, and the saving in various formats (or, by inserting the data in a database).
Features
Write for Python 3.6 and high
Each database connection is DBAPI 2.0 compliant
Each NoSQL database connection is nosqlapi compliant
import pyreports
# Select source: this is a DatabaseManager object
mydb = pyreports.manager('mysql', host='mysql1.local', database='login_users', user='dba', password='dba0000')
# Get data
mydb.execute('SELECT * FROM site_login')
site_login = mydb.fetchall()
# Filter data
error_login = pyreports.Executor(site_login)
error_login.filter([400, 401, 403, 404, 500])
# Save report: this is a FileManager object
output = pyreports.manager('csv', '/home/report/error_login.csv')
output.write(error_login.get_data())
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,
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
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
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,
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
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
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
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
