Training and hackathons are moving online

A while back, I announced that we’re running some public courses in June. These courses will now be online.

They have also decreased in price by 33% because we don’t need a physical space or physical sandwiches. So the 3-day Intro to Geocomputing class now costs only USD 1200 (or $300 for students). The 2-day Intro to Machine Learning class, which is only available on the Americas timing for now, is USD 800, or USD 600 if you take both classes.

The really nice thing is that because they have no physical location, you can take part from anywhere! Well, anywhere with good Internet. Both courses are still running the week of 1 June, and there are a few places left on both courses.

More info:

• Online course with timing for the Americas.

• Online course with timing for Europe and Africa.

The hackathons are going online too

We’re also involved in some public hackathons that are moving online. Both events will now also be FREE.

On 30 April and 1 May, we’re running a (very experimental) online Geothermal Hackathon. If you’re into hot rocks, or just want to hack on open data and new problems for a couple of days, you should join us! I can’t tell you much about what we’ll be doing though. It depends a lot on who shows up at the start, and what they want to do. You can join the conversation ahead of time on Software Underground — look for the #geothermal channel.

Later, from 6 to 14 June (yep, not a typo) the Software Underground will be hosting a multi-day, muti-modal, multi-mayhem digital subsurface festival. No, I don’t really know what that means… but I know it’s going to be awesome. Again, the conversation is happening on Software Underground — hunt down the #global-hack-2020 channel.

Check back here soon for more about this brand new kind of event.

The hacks are back

We ran the first geoscience hackathon over 7 years ago in Houston. Since then we’ve hosted another 26 subsurface hackathons — that’s 175 projects, and over 900 hackers. Last year, 10 of the 11 hackathons that Agile* facilitated were in-house.

This is exciting. It means that grass-roots, creative, high-speed collaboration and technology development is possible inside large corporations. But it came at the cost of reducing our public events… and we want to bring the hackathon experience to everyone!

So this year, as well as helping execute a dozen or so in-house hackathons, we’ll be running and supporting more public hackathons too. So if you’ve been waiting for a chance to learn to code or try a social coding event, or just hang out with a lot of nerdy geoscientists and engineers — here’s your chance!

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May: Geothermal Hackathon

The first event of the year is a new one for us. We’ll be at the World Geothermal Congress in Reykjavik, Iceland, in the last week of April. The second weekend, 2 and 3 May, we’ll be running a hackathon on machine learning for geothermal subsurface applications. Iceland is only a short flight from the rest of Europe and many places in North America, so if you fancy something completely different, this is for you! Find out more and sign up.

[An earlier version of this post had the event on the previous weekend.]

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June: Subsurface Hackathon (USA)

We’re back in Houston in June! The AAPG ACE is there — clashing with EAGE unfortunately — and we’ll be holding a (completely unrelated) hackathon on the weekend before: 5 to 7 June. Enthought is hosting the event in their beautiful new Houston digs, and Dell EMC is there too as a major sponsor. The theme is Tools… It’s going to be a big one! Find out more and sign up.

We are running two public Python classes before this event. Check them out.

June: Amstel Hack (Europe)

The brilliant Filippo Broggini (ETHZ) is running a European hackathon again this year, again right before EAGE — and therefore the same weekend as the Houston event: 6 and 7 June. The event is being hosted at Shell’s Technology Centre in Amsterdam, and is guaranteed to be awesome. If you’re going to EAGE, it’s a no-brainer. Find out more and sign up.

We are also running a public Python class before this event. Check it out.

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That’s it for now… I hope you can come to one of these events. If you’re just starting out on your technology journey, have no fear — these events are friendly and welcoming. If you can’t make any of them, don’t worry: there will be more in the autumn, so stay tuned. Or, if you want help making one happen at your company, get in touch.

To get email alerts about new hackathon events, sign up here. No spam, we promise.

Learn to code in 2020

Happy New Year! I hope 2020 is going well so far and that you have audacious plans for the new decade.

Perhaps among your plans is learning to code — or improving your skills, if you’re already on the way. As I wrote in 2011, programming is more than just writing code: it’s about learning a new way to think, not just about data but about problems. It’s also a great way to quickly raise your digital literacy — something most employers value more each year. And it’s fun.

We have three public courses planned for 2020. We’re also planning some public hackathons, which I’ll write about in the next week or three. Meanwhile, here’s the lowdown on the courses:

Lausanne in March

Rob Leckenby will be teaming up with Valentin Metraux of Geo2X to teach this 3-day class in Lausanne, Switzerland. We call it Intro to Geocomputing and it’s 100% suitable for beginners and people with less than a year or so of experience in Python. By the end, you’ll be able to read and write Python, write functions, read files, and run Jupyter Notebooks. More info here.

Amsterdam in June

If you can’t make it to Lausanne, we’ll be repeating the Intro to Geocomputing class in Amsterdam, right before the Software Underground’s Amstel Hack hackathon event (and then the EAGE meeting the following week). Check out the Software Underground Slack — look for the #amstel-hack-2020 channel — to find out more about the hackathon. More info here.

Houston in June

There’s also a chance to take the class in the US. The week before AAPG (which clashes with EAGE this year, which is very weird), we’ll be teaching not one but two classes: Intro to Geocomputing, and Intro to Machine Learning. You can take either one, or both — but be aware that the machine learning class assumes you know the basics of Python and NumPy. More info here.

In-house options

We still teach in-house courses (last year we taught 37 of them!). If you have more than about 5 people to train, then in-house is probably the way to go; we’d be delighted to work with you to figure out the best curriculum for your team.

Most of our classes fall into one of the following categories:

• Beginner classes like the ones described above, usually 3 days.

• Machine learning classes, like the Houston class above, usually 2 or 3 days.

• Other more advanced classes built around engineering skills (object-oriented programming, testing, packaging, and so on), usually 3 days.

• High-level digital literacy classes for middle to upper management, usually 1 day.

We also run hackathons and design sprints for teams that are trying to solve tricky problems in the digital subsurface, but those are another story…

Get in touch if you want more info about any of these.

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Whatever you want to learn in 2020, give it everything you have. Schedule time for it. The discipline will pay off. If we can help or support you somehow, please let us know — above all, we want you to succeed.

The hack returns to Norway

Last autumn Agile helped Peter Bormann (ConocoPhillips Norge) and the FORCE consortium host the first geo-flavoured hackathon in Norway. Maybe you were there, or maybe you read about the nine fascinating machine learning projects here on the blog. If so, you’ll know it was a great event, so we’re doing it again!

Hackthon: 18 and 19 September
Symposium: 20 September

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Check out last year’s projects here. Projects included Biostrat!, Virtual Metering, sketch2seis, and AVO ML — a really interesting AVO approach exploiting latent spaces (see image, right). Most of them are on GitHub and could be extended this year.

Part of what I love about these things is that we have no idea what the projects will be. As last year, there’ll be a pre-hackathon meetup in Storhaug the evening before Day 1 (on 17 September) — we’ll figure it all out there. In the meantime, if you have an idea check out the link at the end of this post where you can share and discuss it with others.

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The hackathon will be followed by a one-day symposium on machine learning in the subsurface (left). This well attended event was also excellent last year, and promises to deliver again in 2019. Peter did a briliant job of keeping things rooted in real results from real research, so you won’t be subjected to the parade of marketing talks you might have been subjected to at certain other conferences.

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Find out more and sign up on NPD.no! Don’t delay; places are limited.

Submit and discuss project ideas on Agile’s Events page. Note that this does not sign you up for the event.

Get on softwareunderground.com/slack to discuss the event in the #force-hack-2019 channel.

See you there!

The digital subsurface water-cooler

Back in August 2016 I told you about the Software Underground, an informal, grass-roots community of people who are into rocks and computers. At its heart is a public Slack group (Slack is a bit like Yammer or Skype but much more awesome). At the time, the Underground had 130 members. This morning, we hit ten times that number: there are now 1300 enthusiasts in the Underground!

If you’re one of them, you already know that it’s easily the best place there is to find and chat to people who are involved in researching and applying machine learning in the subsurface — in geoscience, reservoir engineering, and enything else to do with the hard parts of the earth. And it’s not just about AI… it’s about data management, visualization, Python, and web applications. Here are some things that have been shared in the last 7 days:

• News about the upcoming Software Underground hackathon in London.

• A new Udacity course on TensorFlow.

• Questions to ask when reviewing machine learning projects.

• A Dockerfile to make installing Seismic Unix a snap.

• Mark Zoback’s new geomechanics course.

It gets better. One of the most interesting conversations recently has been about starting a new online-only, open-access journal for the geeky side of geo. Look for the #journal channel.

Another emerging feature is the ‘real life’ meetup. Several social+science gatherings have happened recently in Aberdeen, Houston, and Calgary… and more are planned, check #meetups for details. If you’d like to organize a meetup where you live, Software Underground will support it financially.

We’ve also gained a website, softwareunderground.org, where you’ll find a link to sign-up in the Slack group, some recommended reading, and fantastic Software Underground T-shirts and mugs! There are also other ways to support the community with a subscription or sponsorship.

If you’ve been looking for the geeks, data-heads, coders and makers in geoscience and engineering, you’ve found them. It’s free to sign up — I hope we see you in there soon!

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Slack has nice desktop, web and mobile clients. Check out all the channels — they are listed on the left:

2018 retrospective

It’s almost the end of another trip around the sun. I hope it’s been kind to you. I mean, I know it’s sometimes hard to see the kindness for all the nonsense and nefariousness in <ahem> certain parts of the world, but I hope 2018 at least didn’t poke its finger in your eye, or set fire to any of your belongings. If it did — may 2019 bring you some eye drops and a fire extinguisher.

Anyway, at this time of year, I like to take a quick look over my shoulder at the past 12 months. Since I’m the over-sharing type, I like to write down what I see and put it on the Internet. I apologize, and/or you’re welcome.

Top of the posts

We’ve been busier than ever this year, and the blog has taken a bit of a hit. In spite of the reduced activity (only 45 posts, compared to 53 last year), traffic continues to grow and currently averages 9000 unique visitors per month. These were the most visited posts in 2018:

• Big open data, or is it? — about the amazing Volve dataset released by Equinor earlier this year. Don’t miss the follow-up post about its licensing: Volve: not open after all, in which I discuss the license that Equinor chose.

• x lines of Python: contour maps — making nice contour maps in Python (strictly a 2017 post, but almost all of its traffic came in 2018).

• What is scientific computing? — the emergence of the ‘digital geoscientist’.

• Results from the AAPG machine learning unsession — what happened in Salt Lake City.

• Jounce, crackle and pop — derivatives of displacement you never knew you cared about.

Last December’s post, No more rainbows, got more traffic this year than any of these posts. And, yet again, k is for wavenumber got more than any. What is it with that post??

Where in the world?

Every year I take a look at where our people are reading the blog from (according to Google). We’ve travelled more than usual this year too, so I’ve added our various destinations to the map… it makes me realize we’re still missing most of you.

1. Houston (number 1 last year)

2. London (up from 3)

3. Calgary (down from 2)

4. Stavanger (6)

5. Paris (9)

6. New York (—)

7. Perth (4)

8. Bangalore (—)

9. Jakarta (—)

10. Kuala Lumpur (8)

Together these cities capture at least 15% of our readship. New York might be an anomaly related to the location of cloud infrastructure there. (Boardman, Oregon, shows up for the same reason.) But who knows what any of these numbers mean…

Work

People often ask us how we earn a living, and sometime I wonder myself. But not this year: there was a clear role for us to play in 2018 — training the next wave of digital scientists and engineers in subsurface.

• We continued the machine learning project on GPR interpretation that we started last year.

• We revived Pick This and have it running on a private corporate cloud at a major oil company, as well as on the Internet.

• We have spent 63 days in the classroom this year, and taught 325 geoscientists the fundamentals of Python and machine learning.

• Apart from the 6 events of our own that we organized, we were involved in 3 other public hackathons and 2 in-house hackathons.

• We hired awesome digital geologist Robert Leckenby (right) full time. 

The large number of people we’re training at the moment is especially exciting, because of what it means for the community. We spent 18 days in the classroom and trained 139 scientists in the previous four years combined — so it’s clear that digital geoscience is important to people today. I cannot wait to see what these new coders do in 2019 and beyond!

The hackathon trend is similar: we hosted 310 scientists and engineers this year, compared to 183 in the four years from 2013 to 2017. Numbers are only numbers of course, but the reality is that we’re seeing more mature projects, and more capable coders, at every event. I know it’s corny to say so, but I feel so lucky to be a scientist today, there is just so much to do.

Cheers to you

Agile is, as they say, only wee. And we all live in far-flung places. But the Intertubes are a marvellous thing, and every week we meet new people and have new conversations via this blog, and on Twitter, and the Software Underground. We love our community, and are grateful to be part of it. So thank you for seeking us out, cheering us on, hiring us, and just generally being a good sport about things.

From all of us at Agile, have a fantastic festive season — and may the new year bring you peace and happiness.

The Scottish hackathon

On 16−18 November the UK Oil & Gas Authority (OGA) hosted its first hackathon, with Agile providing the format and technical support. This followed a week of training the OGA provided — again, through Agile — back in September. The theme for the hackathon was ‘machine learning’, and I’m pretty sure it was the first ever geoscience hackathon in the UK.

Thirty-seven digital geoscientists participated in the event at Robert Gordon University; most of them appear below. Many of them had not coded at all before the bootcamp on Friday, so a lot of people were well outside their comfort zones when we sat down on Saturday. Kudos to everyone!

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The projects included the usual mix of seismic-based tasks, automated well log picking, a bit of natural language processing, some geospatial processing, and seals (of the mammalian variety). Here’s a rundown of what people got up to:

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Counting seals on Scottish islands

Seal Team 6: Julien Moreau, James Mullins, Alex Schaaf, Balazs Kertesz, Hassan Tolba, Tom Buckley.

Project: Julien arrived with a cool dataset: over 6000 seals located on two large TIFFs images of Linga Holm, an island off Stronsay in the Orkneys. The challenge: locate the seals automatically. The team came up with a pipeline to generate HOG descriptors, train a support vector machine on about 20,000 labelled image tiles, then scan the large TIFFs to try to identify seals. Shown here is the output of one such scan, with a few false positive and false negatives. GitHub repo.

This project won the Most Impact award.

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Automatic classification of seismic sections

Team Seis Class: Jo Bagguley, Laura Bardsley, Chio Martinez, Peter Rowbotham, Mike Atkins, Niall Rowantree, James Beckwith.

Project: Can you tell if a section has been spectrally whitened? Or AGC’d? This team set out to attempt to teach a neural network the difference. As a first step, they reduced it to a binary classification problem, and showed 110 ‘final’ and 110 ‘raw’ lines from the OGA ESP 2D 2016 dataset to a convolutional neural net. The AI achieved an accuracy of 98% on this task. GitHub repro.

This project won recognition for a Job Well Done.

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Why do get blocks relinquished?

Team Relinquishment Surprise: Tanya Knowles, Obiamaka Agbaneje, Kachalla Aliyuda, Daniel Camacho, David Wilkinson (not pictured).

Project: Recognizing the vast trove of latent information locked up in the several thousand reports submitted to the OGA. Despite focusing on relinquishment, they quickly discovered that most of the task is to cope with the heterogeneity of the dataset, but they did manage to extract term frequencies from the various Conclusions sections, and made an ArcGIS web app to map them.

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Recognizing reflection styles on seismic

Team What’s My Seismic? Quentin Corlay, Tony Hallam, Ramy Abdallah, Zhihua Cui, Elia Gubbala, Amechi Halim.

Project: The team wanted to detect the presence of various seismic facies in a small segment of seismic data (with a view to later interpreting entire datasets). They quickly generated a training dataset, then explored three classifiers: XGBoost, Google’s AutoML, and a CNN. All of the methods gave reasonable results and were promising enough that the team vowed to continue investigating the problem. Project website. GitHub repo.

This project won the Best Execution award.

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Stretchy-squeezey well log correlation

Team Dynamic Depth Warping: Jacqueline Booth, Sarah Weihmann, Khaled Muhammad, Sadiq Sani, Rahman Mukras, Trent Piaralall, Julio Rodriguez.

Project: Making picks and correlations in wireline data is hard, partly because the stratigraphic signal changes spatially — thinning and thickening, and with missing or extra sections. To try to cope with this, the team applied a dynamic time (well, depth) warping algorithm to the logs, then looking for similar sections in adjacent wells. The image shows a target GR log (left) with the 5 most similar sections. Two, maybe four, of them seem reasonable. Next the team planned to incorporate more logs, and attach probabilities to the correlations. Early results looked promising. GitHub repo.

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Making lithostrat picks

Team Marker Maker: Nick Hayward, Frédéric Ramon, Can Yang, Peter Crafts, Malcolm Gall

Project: The team took on the task of sorting out lithostratigraphic well tops in a mature basin. But there are speedbumps on the road to glory, e.g. recognizing which picks are lithological (as opposed to chronological), and which pick names are equivalent. The team spent time on various subproblems, but there’s a long road ahead.

This project won recognition for a Job Well Done.

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Alongside these projects, Rob and I floated around trying to help, and James Beckwith hacked on a cool project of his own for a while — Paint By Seismic, a look at unsupervised classification on seismic sections. In between generating attributes and clustering, he somehow managed to help and mentor most of the other teams — thanks James!

Thank you!

Thank you to The OGA for these events, and in particular to Jo Bagguley, whose organizational skills I much appreciated over the last few weeks (as my own skills gradually fell apart). The OGA’s own Nick Richardson, the OGTC’s Gillian White, and Robert Gordon Universty’s Eyad Elyan acted as judges.

These organizations contributed to the success of these events — please say Thank You to them when you can!

I’ll leave you with some more photos from the event. Enjoy!

TRANSFORM 2019

Yesterday I announced that we’re hatching a new plan. The next thing. Today I want to tell you about it.

The project has the codename TRANSFORM. I like the notion of transforms: functions that move you from one domain to another. Fourier transforms. Wavelet transforms. Digital subsurface transforms. Examples:

• The transformative effect of open source software on subsurface science. Open source accelerates our work!

• The transformative effect of collaborative, participatory events on the community. We can make new things!

• The transformative effect of training on ourselves and our peers. Lots of us have new superpowers!

Together, we’ve built the foundation for a new, open software platform.

A domain shift

We think it’s time to refocus the hackathons as sprints — purposefully producing a sustainable, long-lasting, high quality, open source software stack that we can all use and combine into new tools, whether open or proprietary, free or commercial.

We think it’s time to bring a full-featured unconference into the mix. The half-day ‘unsessions’ open too many paths, and leave too few explored. We need more time — to share research, plan software projects, and write code.

Together, we can launch a new era in scientific computing for the subsurface.

At the core of this new era core is a new open-source software stack, created, maintained, and implemented by a community of scientists and organizations passionate about its potential.

Sign up!

Here’s the plan. We’re hosting an unconference from 5 to 11 May 2019, with full days from Monday to Friday. The event will take place at the Château de Rosay, near Rouen, France. It will be fully residential and fully catered. We have room for about 45 participants.

The goal is to lay down a road map for designing, funding, and building an open source software stack for subsurface. In the coming days and weeks, we will formulate the plan for the week, with input from the Software Underground. We want to hear from you. Propose a session! Host a sprint! Offer a bounty! There are lots of ways to get involved.

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Map data: GeoBasis-DE / BKG / Google, photo: Chateauform. Click to enlarge.

If you want to be part of this effort, as a developer, an end-user, or a sponsor, then we invite you to join us.

The unconference fee will be EUR 1000, and accommodation and food will be EUR 1500. The student fees will be EUR 240 and EUR 360. There will be at least 5 bursaries of EUR 1000 available.

For the time being, we will be accepting early commitments, with a deposit of EUR 400 to secure a place (students wishing to register now should get in touch). Soon, you will be able to sign up online… we are working on a smooth process. In the meantime, click here to register your interest, share ideas for content, or sign up by paying a deposit.

Thanks for reading. We look forward to figuring this out together.

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I’m delighted to be able to announce that we already have support from Dell EMC. Thanks as ever to David Holmes for his willingness to fund experiments!

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In the US or Canada? Don’t despair! There will be a North American edition in Quebec in late September.

The next thing

Over the last several years, Agile has been testing some of the new ways of collaborating, centered on digital connections:

• It all started with this blog, which started in 2010 with my move from Calgary to Nova Scotia. It’s become a central part of my professional life, but we’re all about collaboration and blogs are almost entirely one-way, so…

• In 2011 we launched SubSurfWiki. It didn’t really catch on, although it was a good basis for some other experiments and I still use it sometimes. Still, we realized we had to do more to connect the community, so…

• In 2012 we launched our 52 Things collaborative, open access book series. There are well over 5000 of these out in the wild now, but it made us crave a real-life, face-to-face collaboration, so…

• In 2013 we held the first ‘unsession’, a mini-unconference, at the Canada GeoConvention. Over 50 people came to chat about unsolved problems. We realized we needed a way to actually work on problems, so…

• Later that year, we followed up with the first geoscience hackathon. Around 15 or so of us gathered in Houston for a weekend of coding and tacos. We realized that the community needed more coding skills, so…

• In 2014 we started teaching a one-day Python course aimed squarely at geoscientists. We only teach with subsurface data and algorithms, and the course is now 5 days long. We now needed a way to connect all these new hackers and coders, so…

• In 2014, together with Duncan Child, we also launched Software Underground, a chat room for discussing topics related to the earth and computers. Initially it was a Google Group but in 2015 we relaunched it as an open Slack team. We wanted to double down on scientific computing, so…

• In 2015 and 2016 we launched a new web app, Pick This (returning soon!), and grew our bruges and welly open source Python projects. We also started building more machine learning projects, and getting really good at it.

Growing and honing

We have spent the recent years growing and honing these projects. The blog gets about 10,000 readers a month. The sixth 52 Things book is on its way. We held two public unsessions this year. The hackathons have now grown to 60 or so hackers, and have had about 400 participants in total, and five of them this year already (plus three to come!). We have also taught Python to 400 geoscientists, including 250 this year alone. And the Software Underground has over 1000 members.

In short, geoscience has gone digital, and we at Agile are grateful and excited to be part of it. At no point in my career have I been more optimistic and energized than I am right now.

So it’s time for the next thing.

The next thing is starting with a new kind of event. The first one is 5 to 11 May 2019, and it’s happening in France. I’ll tell you all about it tomorrow.

Café con leche

At the weekend, 28 digital geoscientists gathered at MAZ Café in Santa Ana, California, to sprint on some open geophysics software projects. Teams and individuals pushed pull requests — code contributions to open source projects — left, right, and centre. Meanwhile, Senah and her team at MAZ kept us plied with coffee and horchata, with fantastic food on the side.

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Because people were helping each other and contributing where they could, I found it a bit hard to stay on top of what everyone was working on. But here are some of the things I heard at the project breakdown on Sunday afternoon:

Gerard Gorman, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, and Philipp Witte, all from the devito project, continued their work to bring Kubernetes cluster management to devito. Trying to balance ease of use and unlimited compute turns out to be A Hard Problem! They also supported the other teams hacking on devito.

Thibaut Astic (UBC) worked on implementing DC resistivity models in devito. He said he enjoyed the expressiveness of devito’s symbolic equation definitions, but that there were some challenges with implementing the grad, div, and curl operator matrices for EM.

Vitor Mickus and Lucas Cavalcante (Campinas) continued their work implementing a CUDA framework for devito. Again, all part of the devito project trying to give scientists easy ways to scale to production-scale datasets.

That wasn’t all for devito. Alongside all these projects, Stephen Alwon worked on adapting segyio to read shot records, Robert Walker worked on poro-elastic models for devito, and Mohammed Yadecuri and Justin Clark (California Resources) contributed too. On the second day, the devito team was joined by Felix Hermann (now Georgia Tech), with Mengmeng Yang, and Ali Siakoohi (both UBC). Clearly there’s something to this technology!

Brendon Hall and Ben Lasscock (Enthought) hacked on an open data portal concept, based on the UCI Machine Learning Repository, coincidentally based just down the road from our location. The team successfully got some examples of open data and code snippets working.

Jesper Dramsch (Heriot-Watt), Matteo Niccoli (MyCarta), Yuriy Ivanov (NTNU) and Adriana Gordon and Volodymyr Vragov (U Calgary), hacked on bruges for the weekend, mostly on its documentation and the example notebooks in the in-bruges project. Yuriy got started on a ray-tracing code for us.

Nathan Jones (California Resources) and Vegard Hagen (NTNU) did some great hacking on an interactive plotting framework for geoscience data, based on Altair. What they did looked really polished and will definitely come in useful at future hackathons.

All in all, an amazing array of projects!

This event was low-key compared to recent hackathons, and I enjoyed the slightly more relaxed atmosphere. The venue was also incredibly supportive, making my life very easy.

A big thank you as always to our sponsors, Dell EMC and Enthought. The presence of the irrepressible David Holmes and Chris Lenzsch (both Dell EMC), and Enthought’s new VP of Energy, Charlie Cosad, was greatly appreciated.

We will definitely be revisiting the sprint concept in the future — einmal ist keinmal, as they say. Devito and bruges both got a boost from the weekend, and I think all the developers did too. So stay tuned for the next edition!