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Look inside
The company you work for, which offers lifestyle products, has enjoyed success for several years, but management has decided it’s not competitive enough. Your task is to identify current market trends and new niche markets for the company’s lifestyle products. Using Python and Ray, you’ll build a web scraper that will load and save multiple web pages concurrently. To preprocess the data, you’ll read each of your locally stored pages, split them into sentences, tokenize each sentence with Hugging Face tokenizers, and store your tokenized documents in a new (pickled) format in your file system. When you’re finished, you’ll have leveraged Ray to preprocess a large amount of data while bypassing Python’s notorious concurrency limitations. The data science team will thank you for helping minimize the data preparation time, and the management team will thank you for helping the company sharpen its competitive edge.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book resources
When you start your liveProject, you get full access to the following books for 90 days.
prerequisites
This liveProject is for data scientists who want to prepare their ML models for deployment to production, as well as software engineers who need to overcome the challenges of ML applications. To begin these liveProjects you’ll need to be familiar with the following:
TOOLS- Intermediate Python (declare variables and functions, loops, branches, import modules, basic object-oriented programming, asyncio API, encode/decode JSON documents, read/write to files)
- Beginner NumPy
- Beginner Hugging Face
- Intermediate ML and AI (classification algorithms, tokenization, word embeddings, dataset scaling)
you will learn
In this liveProject, you’ll learn how to use Ray to build a web scraper and how to prepare your scraped data for training an ML model.
- How to make your Python code concurrent or parallel
- Basics of the Ray framework
- How to perform preprocessing of texts for NLP models with Hugging Face transformers
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
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- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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- choose twelve free products per year
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Preprocess Data in Parallel project for free
Preprocess Data in Parallel project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
![]()
Preprocess Data in Parallel project for free
