Pandas is an open source Python library commonly used in data analysis and machine learning. Pandas provides efficient and flexible data structures for working with numerical and other data in Python. The main objects in Pandas are DataFrames and Series. A DataFrame is a two-dimensional table of data with row and column labels, while a Series is a one-dimensional array of labelled data.
Pandas allows you to manipulate and clean data from a variety of sources, including spreadsheets, CSV files, SQL databases and popular web data formats. Pandas also provides tools for data analysis, including data aggregation, filtering and transformation, as well as the creation of charts and visualisations to explore patterns and trends in the data.
Because Pandas integrates well with other Python libraries used in data analysis and machine learning, such as NumPy and Matplotlib, it is a valuable tool for any data scientist or analyst working with data in Python.
Churn, or customer churn rate, is a constant challenge for today's businesses. The ability to retain customers is a constant challenge for today's companies.
Read More »Fernando Pavón, CEO of Gamco and expert in Artificial Intelligence applied to business explains to us in the AceleraPYMES cycle how small companies can [...]
Read More »Artificial Intelligence is transforming the way in which companies relate to their customers, how work is managed, the way they work, the way in which [...]
Read More »If you don't know the difference between an ERP (Enterprise Resource Planning) system and a CRM (Customer Relationship Management) system, here's what you need to know about the [...]
Read More »
