What Does a Data Management Specialist Do?
October 1, 2024
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Recommended experience
Intermediate level
Python Programming, working with APIs, Jupyter Notebooks, credit card for tokens from OpenAI
Recommended experience
Intermediate level
Python Programming, working with APIs, Jupyter Notebooks, credit card for tokens from OpenAI
Apply web scraping techniques to effectively extract content from various websites using Python libraries
Translate and summarize foreign language news headline content into concise English summaries
Add to your LinkedIn profile
Only available on desktop
The internet, as we know, is a treasure trove of information, but language barriers often limit our ability to access all of it. In this 2-hour long project-based course, you will unlock the potential of accessing global content by integrating web scraping techniques with the power of OpenAI's translation capabilities. You will use modern web scraping Python tools to extract content from multiple international language news websites and then utilise the OpenAI API to translate and summarize that content into concise English news summaries. By the end of this journey, you will have crafted a Python application capable of providing on-the-fly content summarization from any web source, bridging the linguistic gap and making global content more accessible.
This course is tailored for learners who are keen on blending the realms of web data extraction and AI-powered translation. To make the most out of this project, a foundational understanding of Python, basic web scraping concepts, and a curiosity for AI-driven solutions are recommended.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Set Up the Environment and Initial Data
Parse HTML and Extract Headlines
Refine Data Extraction process
Write our prompt generator function
Translate Headlines with OpenAI
Python Programming, working with APIs, Jupyter Notebooks, credit card for tokens from OpenAI
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