You can use several different languages for data science, but Python is one of the most popular. Nearly any language is capable of analyzing data, but some languages and libraries are designed with certain expectations; for instance, the NumPy library provides tools for processing matrices so that you don’t have to write a matrix library on your own.
Python, as a language, has a few advantages over many others. First, it is famous for being relatively easy to read. While Python code may not make sense to someone completely unfamiliar with computer programming, it tends to be easier to parse than, say C or C++. That means Python is easier for other people to reuse, because they can read your code and understand what it claims to do, and they may even be able to add to it. Furthermore, Python has several strong purpose-built libraries geared specifically toward data science. Because existing Python data science libraries already provide many of the things data scientists often need to do, Python has earned a rightful place as a leading language in the field.
All other benefits of Python apply, such as the convenience of the pip package manager, the robust venv virtual environment interface, an interactive shell, and so on.
Continue reading “Why use Python for Data Science?”
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data.Data science is a “concept to unify statistics, data analysis, informatics, and their related methods” in order to “understand and analyze actual phenomena” with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. Turing Award winner Jim Gray imagined data science as a “fourth paradigm” of science (empirical, theoretical, computational, and now data-driven) and asserted that “everything about science is changing because of the impact of information technology” and the data deluge. Continue reading “Data science”
Euro short-term rate (€STR) is a reference rate for the currency euro. The €STR is calculated by the European Central Bank (ECB) and is based on the money market statistical reporting of the Eurosystem. The working group on euro risk-free rates has recommended €STR as a replacement for the EMMI Euro Overnight Index Average (EONIA) as the Euro risk-free rate for all products and contracts. Continue reading “Euro short-term rate (€STR) (Ofer Abarbanel online library)”
A commercial mortgage is a mortgage loan secured by commercial property, such as an office building, shopping center, industrial warehouse, or apartment complex. The proceeds from a commercial mortgage are typically used to acquire, refinance, or redevelop commercial property. Continue reading “Commercial mortgage (Ofer Abarbanel online library)”
A crossed cheque is a cheque that has been marked specifying an instruction on the way it is to be redeemed. Continue reading “Crossing of cheques (Ofer Abarbanel online library)”
BankTrack is a non-governmental organization working in the field of private sector banks and sustainability. BankTrack uses direct action, lobbying, and research to achieve its goals. BankTrack focuses primarily on the work of private sector banks and their involvement in projects that are a risk to the environment, society or human rights. Continue reading “BankTrack (Ofer Abarbanel online library)”
Braco’s Banking House is a three-storey town house in Elgin, Moray in Scotland. The home and business place of banker William Duff of Braco from 1703 to 1722, the house has borne his name ever since. It was designated a Category A listed building in 1970. Continue reading “Braco’s Banking House (Ofer Abarbanel online library)”
Modern banking in India originated in the last decade of the 18th century. Among the first banks were the Bank of Hindustan, which was established in 1770 and liquidated in 1829–32; and the General Bank of India, established in 1786 but failed in 1791. Continue reading “Banking in India (Ofer Abarbanel online library)”