| A | B | C | D | |
|---|---|---|---|---|
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2 | https://www.meetup.com/nycpython/events/267620070 | |||
3 | Sign-up Sheet (plus: talk requests!) | |||
4 | I want to give the following talk... | TALK IDEAS UP FOR GRABS (or, I want someone else to give the following talk...) | ||
5 | Presenter Name | Talk Title | Topic | Details |
6 | Brian Roche | Calculating Pi - Monte Carlo | Decorators | Topic area: core Python. Mention: simple decorators, "higher-order" decorators, function closures, class decorators. |
7 | Niels Bantilan | Validating pandas dataframes with pandera | async/await | Topic area: core Python. Mention: coroutines, async/await in >3.6, asyncio in stdlib, trio, curio Maybe mention: gevent, etc. |
8 | Zach Valenta | pip to Poetry in 120 seconds | PyTorch | Topic area: data science. What is PyTorch? How does it compare to tensorflow? |
9 | Sam Kennerly | The Fairly Incomplete and Rather Badly Illustrated Guide to Docker Development | CSS Grid & Flexbox | Topic area: web programming. What are new features in CSS? How can CSS Grid & CSS Flexbox be used together? |
10 | Calculating Pi | Talk about Monte Carlo method in Python and show how to use it to estimate Pi | ||
11 | Python performance | Talk about optimizations that can make your Python programs run faster. Ideas include Cython or PyPy. | ||
12 | Steve Loria | Dope Python shell tricks | Flask Rest APIs | Talk about what Rest APIs are and offer some advice on how to learn them and use them in flask |
13 | Phillip Schanely | CrossHair: Theorem provers that help you code | Docker | Getting started/best practices for using Docker for development/production |
14 | Thomas J Fan | How Calibrated Are You? xD | Application configuration | Make your app slim and sleek with tech from 1979! |
15 | Python test automation | A discussion on how to use Python not only for unit testing but also for integration testing and other types of tests | ||
16 | Python and Continuous Integration (CI) | Including the use of Python in conjunction with Jenkins, GitHub, etc. | ||
17 | Python testing for data analysis | |||
18 | Event driven processing | Intro to event drive processing and compare it with other architecture (with simple analogy!) | ||
19 | Scrapy + Networkx | This talk will be about how I make networks of human traffickers from information I scrape from the internet! | ||
20 | fossil | basic usage of fossil source code management | ||
21 | implementation of pseudo-terminals | |||
22 | Tom does not use Scrapy nor Selenium and has his own system in which testing of scrapers is very simple | https://thomaslevine.com/computing/web-sites-to-data-tables-in-practice/ | ||
23 | Diversity and inclusion | Concrete steps NYC Python can take to be more welcoming | ||
24 | Visualization Tools | |||
25 | Python + AWS Lambda vs Glue | Lambda vs Glue for automated ETL in AWS | ||
26 | Introduction to Airflow (or another Data ETL library) | |||
27 | Useful Python 3 features | https://datawhatnow.com/things-you-are-probably-not-using-in-python-3-but-should | ||
28 | Building a startup | |||
29 | Create a talk topic random generator in Django | |||
30 | Python core libraries | debugging with pdb, why use virtualenv or conda environments, f strings | ||
31 | Django Rest Framework API | Intermeditate intro to django rest (Slides) | ||
32 | GUIs in Python | |||
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