
Python for the Digital Humanities - Courses and Resources
Free courses and tools for those interested in Python and its applications to the digital humanities.
GitHub - wjbmattingly/python_for_dh
Introduction to Python for Digital Humanities, 2022. python-textbook.pythonhumanities.com. This Python Textbook was created during my postdoctoral fellowship at the Smithsonian …
Python Tutorials for Digital Humanities - GitHub
May 18, 2022 · Python Tutorials for Digital Humanities has 5 repositories available. Follow their code on GitHub.
GitHub - dhlab-epfl/fdh-tutorials: Computer Vision and Deep …
Deep learning: Tensorflow basics with MNIST example (single layer network and multilayer network) Applications: CV: Face detection using Convolutional Neural Networks (CNN)
Python Tutorials for Digital Humanities - YouTube
In this playlist, we explore the basic concepts of artificial intelligence (AI), Machine Learning (ML), and Deep Learning. It also serves as a tutorial for TensorFlow and Keras. All of this...
Python: For the Digital Humanities - Universität Zürich - UZH
In this introductory course, students will explore the basics of text analytics applied to Digital Humanities using several Python libraries such the Natural Language Toolkit (NLTK), Pandas, …
Tutorials for DH Tools and Methods - PBworks
In this lesson, you’ll learn how to download files from such collections using a Python module specifically designed for the Internet Archive. You will also learn how to use another Python …
Tutorials - Digital Humanities Initiative
Here, we have a series of tutorials waiting to unlock your skills in digital humanities. We understand the growing importance of leveraging technology in the field of humanities, and our …
Python for the Humanities - PythonforHumanities
Stimulate an interest in Python through a first contact with key implementations for the humanities. Lay the foundations of reading, modifying and writing Python code in two areas: Teach the …
Scout Archives - Python Tutorials for Digital Humanities
The series of 26 videos, ranging in length from about 6 to 26 minutes each, introduces key concepts, terminology, and basic functions to manage and analyze data for humanities …
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