Montreal Data

Articles, nouvelles et annonces

Practical Python Programming, a course by @dabeaz
The material you see here is the heart of an instructor-led Python training course used for corporate training and professional development. It has been in continual development since 2007 and battle tested in real-world classrooms. Usually, it’s taught in-person over the span of three or four days–requiring approximately 25-35 hours of intense work. This includes the completion of approximately 130 hands-on coding exercises.

Vaex: Out-of-Core DataFrames for Python
Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second.

MIT Sloan: How to build a data analytics dream team
Data analytics have become a key part of business success — and capitalizing on data depends on building the right team. From high-tech roles to business-facing experts, here’s where to start.

Announcing Plotly.py 4.8: Plotly Express Support for Wide- and Mixed-Form Data, plus a Pandas backend
Plotly Express can now behave a bit more like the default Pandas plotting backend with respect to the x and y parameters of the corresponding functions. In light of this, we are taking advantage of the new pandas.options.plotting.backend option introduced in Pandas v0.25, and offering an official plotly backend for Pandas plotting.

Scale AI répond à la demande du secteur en soutenant la recherche de pointe en IA
Scale AI annonce que la supergrappe en intelligence artificielle (IA) investira 10 M$ pour soutenir la création d’une dizaine de chaires universitaires consacrées à l’IA au pays, doublant la mise avec l’apport des universités, pour un total de 20 M$.

Things I Wished More Developers Knew About Databases
The problems that application developers foresee and experience will often be just the tip of the iceberg. In this series, I’m sharing a few insights I specifically found useful for developers who are not specialized in this domain.

Événements

[ONLINE] Meetup Montréal-Python 77 – Serinette Harmonieuse
Monday 01 June 2020 @ 17:00
On est de retour avec une autre rencontre spectaculairement virtuelle. Le présentations seront diffusées en direct sur Youtube avec périodes de questions sur Slack. On est toujours à la recherche de présentateur.trice.s. Faites-nous signe si vous voulez faire partie du programme.

How to get started with Kibana
Wednesday 03 June 2020 @ 18:30
Learn how to use Kibana to explore & visualize your data in Elasticstack. Presented by Bhavya Mandya, QA Engineer II at Elastic. This is a free event.

Bloomberg: Women in Fintech: AI in Fintech Webcast
Thursday 04 June 2020 @ 10:00
This panel of technology all-stars will discuss how artificial intelligence has changed the way financial firms do business. We will look to discover how AI has transformed data, news and the financial markets. The panelists will also explore how AI has changed how we integrate information, analyze data and use results to improve decision making.

Getting Started with Azure Synapse Analytics
Tuesday 16 June 2020 @ 18:00
In this demo-heavy session we will go over the main concepts behind Synapse as well as demos to showcase the major features and new workspace experience. In the end you will leave with an understanding of the new things you can do with Synapse and how it fits into your organization's data strategy and your role in it.

Apple Worldwide Developers Conference (WWDC)
Monday 22 June 2020 @ 09:00
Apple today announced it will host its annual Worldwide Developers Conference virtually, beginning June 22, in the Apple Developer app and on the Apple Developer website for free for all developers.

Google Cloud Next OnAir
Tuesday 14 July 2020 @ 09:00
La conférence annuelle de Google Cloud sera en ligne cette année. Celle-ci se tiendra sur 9 semaines avec un thème différent à chaque semaine, incluant: Data Analytics, Cloud AI, Data Management & Databases, et plus encore.