NZPUG Mtg: Making Python faster, and "Dependency Inversion"

[dn]

Virtual meeting: Wednesday 6 December, 1815 for 1830 NZDT/UTC+13
Book at https://www.meetup.com/nzpug-auckland/events/295433876/


1 Making Python faster - using type hints

Tushar will lead us through:

     A brief history of type hints
     Using type checkers to verify your type hints
     Compiling type checked Python to make it faster
     Some examples of libraries and the speedups they get from type hints

We'll be looking at mypy/mypyc.

Audience Level: intermediate, ie understand Python constructs, 
functions, control flow, etc.

Tushar has been a long term Python developer, OSS contributor, author 
and speaker. He has been working with static analysis and type checkers 
for the past 3 years, and has contributed to various PSF-projects such 
as black and mypy.


2 SOLID's Dependency Inversion Principle

Olaf will complete the current Software Craftsmanship series on the 
SOLID Principles with a session on the Dependency Inversion Principle. 
This one is particularly fascinating, because at first-glance the 
inversion seems to be asking us to do things backwards. With 
understanding, we realise that it is an impressive device enabling us to 
focus on what is needed by the 'layer' of more valuable components, 
rather than the lower-level, eg UIs and external interfaces (need 
refresher? see https://www.bmc.com/blogs/solid-design-principles/)

Audience Level: advanced, ie understand programming constructs, 
patterns, principles, etc.

Olaf needs no introduction having generously brought us the earlier 
sessions in his "Software Craftsmanship" series over the last two years. 
Let's complete this exercise in dogged-persistence and round things off 
neatly - if you remember, this talk was originally scheduled last month, 
but technical-gremlins got in the way! Also, please tell us what topics 
you'd like to cover at this skill-level in future...


Please come, and come with a collegial frame-of-mind. Questions and 
conversation will be the order of the day. If you are more confident in 
Python, your constructive advice, suggestions, and alternate approaches 
will be valued ...

-- 
Regards =dn