Название: Introduction to Python for Humanists
Автор: William J.B. Mattingly
Издательство: CRC Press
Год: 2023
Страниц: 362
Язык: английский
Формат: pdf (true)
Размер: 25.4 MB

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose.

Not all programming languages are created equal. Some are best used for developing software, such as C; others are best suited for web development, such as HTML and jаvascript. And others are great at statistical analysis, R (and Python). Where does Python excel? Python excels in many areas. One thing that sets it apart from other programming languages for new coders is that it is easy to read and easy to write. It is relatively easy to write compared to other programming languages because the syntax, or way in which you write tasks in code, is straightforward. It is easy to read because Python uses forced indentation. This means that blocks of code that can be difficult to read in other programming languages are easily spotted in Python. Today, Python is one of the most widely used programming languages and is considered the essential language for text analysis, machine learning, data analysis (alongside R), web scrapping, and much more.

For all the above reasons, I encourage humanists to learn Python as their first programming language. It is one of the easiest languages to learn, straightforward to write, and can solve most of the programmatic problems a humanist may face. The large quantities of libraries and tutorials mean that there are few tasks that will prove impossible to do. If you are sold on Python, then continue reading this textbook as we learn how to install it and use it as humanists.

Key Features:

Data analysis
Data science
Computational humanities
Digital humanities
Python
Natural language processing
Social network analysis
App development