Are you dealing with isolation due to COVID-19? Are you missing your friends from the Python community? PyAmsterdam is also moving online to help you!
This is going to be our second online meetup and we have two amazing speakers!
|Newbie is not nobody - you can contribute to communities even if you are new -- Lais Carvalho
|Is it a bird? Is it a plane? Accelerating Python with numba -- Juan Luis Cano
|Closing (if no further interest)
Newbie is not nobody - you can contribute to communities even if you are new
About: Lais Carvalho
With a solid background on customer service, Lais fell in love with Python after struggling for 2 years with Wolfran, trying to understand calculus. Her passion for technology and community provided a route to a significant presence on the Python sphere, especially regarding tech events. She is a member of Python Ireland, an organiser at Pyjamas and also volunteers for EuroPython 2019. You can find her at laiscarvalho.com  and @lais_bsc 
Building identity from the start - beginners and how can they contribute to the community In the face of what is currently happening in the world, I talk about ways that newcomers can be part and contribute to the tech community, helping them to get over the social-distancing heavy toll. I also tell my personal experience as an events organiser for PyConIE, and give some insights of how is to be the only female member in a tech committee; stressing that newbies should be not only allowed - but rather broadly invited -, to the 'big-boys' table!
Is it a bird? Is it a plane? Accelerating Python with numba
About: Juan Luis Cano Rodríguez
Chair of the Spanish branch of the PSF, Aerospace engineer, open source software advocate, European citizen, urban cyclist, '70s hard rock lover, frustrated musician, human being. Obsessed with pursuing impossible dreams and democratizing the access to knowledge. More on his linkedin 
We are lucky there are very diverse solutions to make Python faster that have been in use for a while: from wrapping compiled languages (NumPy), to altering the Python syntax to make it more suitable to compilers (Cython), to using a subset of it which can in turn be accelerated (numba), and many many more. However, each of these options has a tradeoff, and there is no silver bullet.
Some years ago I chose numba for poliastro, my personal project, because of its simplicity, effectiveness, and not having to learn a hybrid dialect of Python. numba compiles numerical Python code on the fly using the LLVM machinery, producing extremely performant code... when it works!
On the other hand, even though it is quite mature as a library and most of the Python syntax and NumPy functions are supported, there are still some limitations that affect its usage. In particular, I strive to offer a high- level API with support for physical units (extensions of NumPy) and reusable functions which can be passed as arguments, which sometimes require using complex objects or introspective Python behavior which is not available.
In this talk we will introduce numba, describe its basic usage, and then discuss the strategies and workarounds we have developed to overcome its limitations, as well as some advanced numba features we can leverage. We will focus mostly on CPUs, and mention very briefly its GPU capabilities.