Matt Clarke

I've created an easy-to-use Python data science toolkit for doing technical ecommerce, marketing, and SEO stuff. Here's version 0.1 ish > github.com/practical-data-sc… #ecommerce #datascience #technicalseo #marketing

Setting the correct dtype on categorical variables in Pandas dataframes can make a huge difference to memory usage. Here's how to do it. #datascience #pandas #python practicaldatascience.co.uk/d…

The Pandas pipe() function can be used to create data pipelines and works well with the modern Pandas method chaining technique. Here's how to use it. #datascience #python #pandas practicaldatascience.co.uk/d…

I initially wrote off method chaining in Pandas as being harder to read and debug but, in retrospect, I think I was wrong. It's actually a really handy technique when used sensibly. Here's how to do it. #datascience #python #pandas practicaldatascience.co.uk/d…

Learn how to use perform custom named entity recognition in Pandas with Spacy by analysing the skills employers are looking for in job advertisements. practicaldatascience.co.uk/d… #datascience #python #pandas #nlp #spacy

Working in ecommerce? Not sure how data science might be able to help you? Here's some inspiration... practicaldatascience.co.uk/d… #datascience #ecommerce #python #machinelearning

Recently moved to Klaviyo. Great platform but the sales process failed to tell us about the huge increase in costs for "unsuppressed profiles" required to get good results. It's made deliberately difficult to suppress them too. Are there any better alternatives? #klaviyo

While it's no match for the mighty Advertools (my preferred web scraping tool), if you want to quickly scrape every page in an XML sitemap to Pandas you can do it in a few lines of code in EcommerceTools, and extract links and stuff. #datascience #pythonseo #python #webscraping

If you support an SEO team or are a Python SEO practitioner, you might find this one handy. #python #datascience #pythonseo practicaldatascience.co.uk/d…

Learn to use the Pandas date_range() function to create a DatetimeIndex, list, or dataframe of dates or times between two dates or within a period. #python #datascience #pandas practicaldatascience.co.uk/d…

Just published my 300th post on Practical Data Science. Not bad going for 18 months' work. #datascience #python #machinelearning practicaldatascience.co.uk/

Glad to see that after a little blip following a Google algorithm update my site is continuing on a decent trajectory...

Product matching algorithms are essential if you're performing product price comparison against your competitors, or if you're analysing range gaps in your product catalogue. They're kind of tricky to build. Here's how I made mine. #datascience #python practicaldatascience.co.uk/m…

Have you ever wanted to put weekdays, month names, sizes, or products into a custom sort order that's neither numeric or alphabetical? If so, check out the Pandas CategoricalDtype. It's really handy! #datascience #pandas #python practicaldatascience.co.uk/d…

If you work in SEO and want to see how Python can help you work more effectively and efficiently, here are 50 (yes, 50) tutorials that cover a range of practical projects you can tackle with basic cut-and-paste coding. #python #datascience #pythonseo practicaldatascience.co.uk/t…

EcommerceTools lets you fetch Core Web Vitals data for a list of URLs using just a few lines of simple Python. See: buff.ly/3DOnz87 #datascience #pythonseo

Here's how to query the Google Knowledge Graph API in a few lines of code using EcommerceTools. #datascience #python #pythonseo

Here's a useful code snippet for ecommerce marketers. This will create an e-commerce trading calendar and list of key retail events and pay days so you can use it to time your marketing activities, or use these as model features. #datascience #python