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Description
Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.
Description
tox is designed to streamline and automate the testing process in Python. This tool is a key component of a broader initiative to simplify the packaging, testing, and deployment workflow for Python applications. Serving as a universal virtualenv management tool and a test command-line interface, tox allows developers to verify that their packages can be installed correctly across multiple Python versions and interpreters. It facilitates running tests in each environment, configuring the preferred testing tools, and integrating seamlessly with continuous integration servers, which significantly minimizes redundant code and merges CI with shell-based testing. To get started, you can install tox by executing `pip install tox`. Next, create a `tox.ini` file adjacent to your `setup.py` file, detailing essential information about your project and the various test environments you plan to utilize. Alternatively, you can generate a `tox.ini` file automatically by running `tox-quickstart`, which will guide you through a series of straightforward questions. After setting up, be sure to install and validate your project with both Python 2.7 and Python 3.6 to ensure compatibility. This thorough approach helps maintain the reliability and functionality of your Python software across different versions.
API Access
Has API
API Access
Has API
Integrations
3LC
Activeeon ProActive
ApertureDB
Avanzai
Coiled
Daft
DagsHub
Dagster
Flower
Flyte
Integrations
3LC
Activeeon ProActive
ApertureDB
Avanzai
Coiled
Daft
DagsHub
Dagster
Flower
Flyte
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
pandas
Founded
2008
Website
pandas.pydata.org
Vendor Details
Company Name
tox
Website
tox.wiki/en/latest/
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics