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 tutorials are designed to equip you with the knowledge and tools to excel in this domain.
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Views: 1,300 Introduction to CORPRO Are you looking for a handy tool to analyze Chinese language texts? Let’s try CORPRO! It is a Chinese corpus-based text mining software. Don’t worry if you’re not familiar with programming – this software is designed to be user-friendly and accessible to everyone (without programming skills) to conduct textual-mining independently. …
How to open CORPRO in MacOS 如何在Mac開啟 CORPRO 庫博中文獨立語料庫分析工具 Read More »
Views: 1,448 In the previous article, we showed you how to convert a Jupyter Notebook (.ipynb file) into an HTML file, providing a portable and shareable format that can be easily sent or stored on a USB drive for viewing. In this article, we’d like to highlight another option: publishing the HTML file online. With …
Views: 7,088 In our “Learn Python From Zero For Absolute Beginner” series, you have learnt how to use Python to do some data manipulation tasks and create interactive charts using Plotly within Jupyter Notebook. After completing your analysis, it is common that you will need to deliver a presentation to present your findings. Traditionally, this …
Turn your Jupyter Notebook into interactive Presentation Slides using Anaconda Read More »
Views: 704 Welcome to the final article of our “Learn Python From Zero For Absolute Beginner” series! We would like to express our gratitude to all of you who have followed along with us on this learning journey. We believe that you are now able to use Python to perform data manipulation tasks, create interactive …
Learn Python From Zero For Absolute Beginner (4): Challenge For You Read More »
Views: 1,875 In our previous article, we dived into the world of data visualization using Python and equipped you with the skills to create various charts and graphs. Now, in this article, we are excited to take your visualization journey a step further by showing you how to build a website using Python. By following …
Learn Python From Zero For Absolute Beginner (3): Create Website Read More »
Views: 1,678 Welcome to the 2nd lesson of our “Learn Python From Zero For Absolute Beginner” series! In the previous lesson, you learnt the essential techniques for basic data cleaning and manipulation using Python. Now, get ready to explore the captivating world of data visualization! By the end of this article, you will be able …
Learn Python From Zero For Absolute Beginner (2): Data visualization Read More »
Views: 2,445 If you find yourself asking questions such as “What exactly does Python do?” or “How can I get started with Python”, then look no further than this handy guide. We understand that diving straight into code can feel intimidating, that’s why we focus on hands-on practice throughout this tutorial series, designed specifically for …
Learn Python From Zero For Absolute Beginner (1): Data cleaning Read More »
Views: 4,329 Table of Content • Headings • Styling text ○ Bold ○ Italic ○ Bold and Italic ○ Strikethrough ○ Underline ○ Listed items ○ Inline code ○ Code blocks ○ Blockquote • Links • Images • Linked images • Footnotes • Table • Horizontal …
Markdown Cheat Sheet & Introduction: From Plain Text to Rich Content Read More »
Views: 39,359 In our previous article, we covered the basics of launching Jupyter Notebook. Now, let’s move on to explore its features and some of the most commonly used keyboard shortcuts. Types of cells Jupyter Notebook relies heavily on the concept of cells. The 2 main types of cells are Code and Markdown. Apart from …
Views: 56,891 Introduction: What is .ipynb file? .ipynb stands for “Interactive Python Notebook”, the file format of Jupyter Notebook. One of the remarkable features is its cell-based interface. It allows users to see the output of each individual block of code. Therefore, it is simpler to trace the flow of execution, identify errors and debug …
