| A | B | C | D | E | |
|---|---|---|---|---|---|
1 | |||||
2 | https://www.meetup.com/nycpython/events/jfmxdsyccpbxb/ | ||||
3 | Sign-up Sheet (plus: talk requests!) | ||||
4 | I want to give the following talk... | And I want to be recorded/ livestreamed..? | TALK IDEAS UP FOR GRABS (or, I want someone else to give the following talk...) is | ||
5 | Presenter Name | Talk Title | Yes/ No (Opt-in, blank = no, you can change your mind) | Topic | Details |
6 | undefined | hello world | maybe | Decorators | Topic area: core Python. Mention: simple decorators, "higher-order" decorators, function closures, class decorators. |
7 | Charles | AutoML for MacOS | Y | async/await | Topic area: core Python. Mention: coroutines, async/await in >3.6, asyncio in stdlib, trio, curio Maybe mention: gevent, etc. |
8 | Jeff | Deploying a Flask App on Heroku for Free in Under 15 Minutes | Y | PyTorch | Topic area: data science. What is PyTorch? How does it compare to tensorflow? |
9 | Michael | OLAP Cube | N | 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 | Flask Rest APIs | Talk about what Rest APIs are and offer some advice on how to learn them and use them in flask | |||
13 | Docker | Getting started/best practices for using Docker for development/production | |||
14 | 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 | ||||
28 | Building a startup | Use meetup to build a startup by volunteering | |||
29 | Create a talk topic random generator in Django | ||||
30 | Python core libraries | ||||
31 | Django Rest Framework API | Intermeditate intro to django rest (Slides) | |||
32 | GUIs in Python | ||||
33 | debugging with pdb, why use virtualenv or conda environments, f strings | ||||
34 | From Hero to Zero: Remote Development using vscode | How to code directly in production with no backup | |||
35 | Sick Performance | How to speed up your pipe line, web stack etc | |||
36 | |||||