Summer is coming and we are organizing a special event. The idea is having many speakers sharing what they learned this year about python in a series of brief lightning talks (10-15 minutes).
You don’t have to be an expert about the topic! We are sure that you have lots of interesting things to talk about. You have never prepared a speech before? Don’t worry! Probably Pyladies is the best place to start!
Help us make this event amazing!
SPEAKERS:
"One day as a Data Scientist (with Python)" by Anisa Oshafi.
Talk about what it is like being a data scientist, how to get started with it in Python and some lessons from personal experience.
"Getting involved in open source community: The Outreachy story" by Lenka Segura
My fresh experience with Outreachy internship: a project supporting people underrepresented in tech
"How to work with Google Sheets using gspread python library" by Anna Fedotova
In this session I will walk you through the main functionality of gspread library and the use cases for its application to working with Google Sheets.
"Having FAN with Django and Arduino" by Elisabeth Ortega
Try to imagine. You are totally comfortable in your sofa, lights off, with your cat in your legs and after a while you realized that your fan is off. How to avoid breaking this Zen moment? IoT (internet of the things) is the solution. In this short talk you will see an example of how an small circuit and few lines of code can improve your day by day.
"Object detection using Deep Learning" by Nohemi Veiga
Convolutional Neural Networks have been widely and successfully used for Image Classification. However, what happens when there are multiple objects that require localization and classification? This is a more challenging task since most of the time, multiple objects of different types, may be found on the image. Often, techniques developed for image classification with localization are used and demonstrated for object detection, and this kind of techniques have several applications including security, automated vehicle systems, retail and health."
