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.
It is vital to understand, identify and satisfy customer needs. In this way, our business will be able to offer products and [...]
Read More »Software as a Service (SaaS) companies have gained enormous prominence in the last few years, mainly due to the novelty of the products [...]
Read More »The rise of Artificial Intelligence (AI) in business is very topical. Its use is spreading and is changing, even, the models [...]
Read More »Normally the acronym NPLs (Non Performing Loans) is used in the financial sector and is a reality in Spanish banks as well as in banks [...].
Read More »
