Description changed:
Main speakers:
Daniel Moisset on Bridging the Gap: from Data Science to Service
Recent years have brought an explosion of algorithms, models and software libraries for doing data science that allow unprecedented possibilities for solving problems. But providing a data science service as a consultant or a company involves more than just tools. In this talk, I will share the most useful lessons that I learned while working at a company providing these services.
Ole Moeller-Nilsson on Finding planets with Python
Planets are a hot topic. NASA, other US institutes and European organisations have been in the news frequently with discoveries of new planets - the news of the discovery of 7 earth like planets the last weeks was difficult to miss. After a short summary of the research that is going on in this area I will talk about a Python/C project I worked on to make exo-planets visible in noisy imaging data. There are some interesting “tricks” that show the importance of understanding the data and its collection process. My goal is not just to get everyone excited about this area but also show how you can access the vast amount of publicly available astronomical data, a large part of which has never been looked at by anyone, and analyse it with Python.
Lightnings talks:
Katharine Jarmul on PyData Berlin 2017
---
Book signing!
We have several authors over this month. If you have physical copies of these books then bring them along - in the pub after we'll do a signing:
High Performance Python by Micha Gorelick and (co-org) Ian Ozsvald - Micha is over from the US to speak at QCon, we'd both be happy to sign in the pub if you bring your physical copy
Mastering Social Media Mining with Python by (co-org) Marco Bonzanini - Bring your copy to the pub!
Data Wrangling with Python by Kat Jarmul and Jacqueline Kazil - Kat is over from Berlin, bring your physical book - Kat will also speak briefly about PyDataBerlin (ask her questions if you want to attend!)
New!Title changed:PyData LondonDescription changed:This is a group for users and developers of data analysis tools in Python. The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization. A goal of PyData groups, events and conferences is to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems. PyData is organized by NumFOCUS.orgURL changed:https://london.pydata.orgTwitter changed:pydatalondonEdited at by frathgeber