PyLadies visits ChiPy April Monthly Meeting!

PyLadies Chicago is excited to team up with ChiPy (http://chipy.org/) for ChiPy's April meeting!

We've got five PyLadies speaking at this month's meeting and we'd love for you to come out and support them! We also helped bring in A. Jesse Jiryu Davis of MongoDB who will also be giving a talk titled, "Grok the GIL: Write Fast and Thead-Safe Python" (40 minutes).

6:00pm - Doors open, food arrives!

7:00pm - Talks start!

PyLadies speakers include:

Speaker: Apurva Naik
Title: How a Study Group Can Help a ML Beginner Learn Deep Learning
Time: 5 minutes

Deep learning has never been accessible to people with limited ML experience. All over the internet, beginners only come across discouragement, exclusion and elitism when they express an interest in doing deep learning. A recently released MOOC, fast.ai is specifically designed for those with some coding experience. The MOOC's creators use a hands-on approach of teaching that focuses on coding first and understanding later. I will talk about the balancing act between work, family and passion projects, how my study buddies help me stay on track, and what we're doing to help others learn.

Speaker: Loren Velasquez
Title: Trolling databases with Python!
Time: 7 minutes

https://github.com/rebeldroid12/hello_db_py_world

You are the data troll who allows what data can be pushed up. All data requests are in your hands but first you need to become an official data troll by getting your information in the data troll table (you need to be legit in the database or else it didn't happen). This is a super simple example of how Python can be friends with database, today we’ll look at Postgres!

Speaker: Lorena Mesa
Title: Python Software Foundation Update + how you can be involved!
Time: 10 minutes

What's happening at the Python Software Foundation? Look no further Python Software Foundation Director Lorena Mesa will run through an update! Information about elections, a new PyCon organizers manual, the PSF Code of Conduct Committee will be briefly covered.

Speaker: Sand Ip
Title: TDD with PyTest
Time: 10 minutes

PyTest helps Python developers with test-driven development, continuous integration, and quality engineering. In this talk we’ll cover setup, data fixtures, case types, and results interpretation by walking through a PyTest demo.

Speaker: Ancy Phillip
Title: Introduction to Project Magellan
Time: 25 minutes

Day by day, the world is becoming more data driven, making data science extremely popular. Data Wrangling , Data Analysis form the two important stages in any Data Science problem and Entity Matching(EM) is extremely critical in the latter phase. EM has been a long-standing challenge in data management. Most current EM works focus only on developing matching algorithms. A solution to this, Magellan, is a new kind of EM systems, open sourced on top of the PyData eco-system. Magellan is novel in four important aspects. (1) It provides how-to guides that tell users what to do in each EM scenario, step by step. (2) It provides tools to help users do these steps; the tools seek to cover the entire EM pipeline, not just match- ing and blocking as current EM systems do. (3) Tools are built on top of the data analysis and Big Data stacks in Python, allowing Magellan to borrow a rich set of capabil- ities in data cleaning, IE, visualization, learning, etc. (4) Magellan provides a powerful scripting environment to fa- cilitate interactive experimentation and quick “patching” of the system. Magellan is used at Walmart Labs, Johnson Controls, Marshfield Clinic and as a teaching tool in UWM classes.