• PyData: The History of Python Development, Reactivating Customers & Pathlib!

    Hallo everyone, Our September meetup in 2019 will be hosted by HelloFresh ( https://www.hellofresh.com/ ). Doors open at 7:00 PM and the talks will start at 7:15 PM. Food and Drinks are graciously provided by HelloFresh. We have 3 speakers scheduled for the evening: 1. "Reactivating Customers" / Tom Kealy, Data Scientist at HelloFresh 2: "The Pathlib Module! (PEP 428)" (lightning talk) / Imanol Uriarte . Break & Mingling! 3. "The History of Python Development" / Mark Neznansky (abstracts below) Please contact us at [masked] if you would like to share something with the community in a 5 minutes talk. We look forward to see all of you you there! ================================ TALK ABSTRACTS: Talk 1: "Reactivating Customers" Speaker: Tom Kealy, Data Scientist at HelloFresh Abstract: As part of the customer journey within HelloFresh, a customer may cancel and reactivate a subscription. Reactivating customers have a lower acquisition cost than acquiring new customers, so periodically HelloFresh will offer former customers discounts to reactivate their account. However, there is a large difference between the most valuable and least valuable reactivating customers. There is also the problem of customers who reactivate only for the deal (‘deal seekers’). This talk aims on how we are working to identify the highest value customers, defined in terms of 10 week revenue, per reactivation campaign. This is to help steer campaigns by only contacting probable high value customers, and to decide which discounts different groups of customers receive. This talk will cover the technical aspects of identifying the high value customers and preliminary results for the May 2019 reactivations campaign. Talk 2: "The Pathlib Module! (PEP 428)" (lightning talk) Speaker: Imanol Uriarte Abstract: We'll discuss PEP 428, most likely better known as the pathlib module. It's been a standard library since Python 3.2, but still remains not so widely used. Is it resistance to change? In this talk we will see some of its great features and hopefully some of you will start using it from now on. Link to PEP 428: https://www.python.org/dev/peps/pep-0428/ Bio: Imanol Uriarte is a GeoIT Engineer passionate about data, science, and Python. Talk 3: "The History of Python Development" Speaker: Mark Neznansky Abstract: From a one-person side-project, Python has grown in 30 years to become one of the world's most popular programming languages, dominant among researchers and data scientists. In this talk I will present some of the influences on the language, how it and its hundreds of contributors are coordinated, who can contribute to it and how, who takes the important decisions as well as how the current system of governance came to be. ================================ NumFOCUS Code of Conduct THE SHORT VERSION Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form. Thank you for helping make this a welcoming, friendly community for all. If you haven't yet, please read the detailed version here: https://numfocus.org/code-of-conduct ================================ See you soon! -PyData Berlin Team