Presenting on an open source project I started and have been working on since three years ago. It is a library named PyPDFForm which has a variety of utilities making processing PDF forms easier with Python. I'll discuss what sparked this idea, give a little coding session to demo some of the library's functionalities, and talk about the future of the library.
Here is a brief layout of what I'm currently planning on for the speak.
* First 15 minutes: Intro. Some background, both personal and about the library. What sparked this idea and just general motivations.
* Next 10 minutes: A coding session which demos some basic but essence functionalities of the library.
* Final 5 minutes: Talk about the future of the library. What are some restrictions it has now. What are some improvements that can be done. And QA.
Some PyPDFForm links:
Ansible is a fantastic automation tool written in Python but sometimes playbook logic gets very complicated to do seemingly simple tasks. In our talk we will show how writing a custom Ansible module is not as hard as you might think and how leveraging Python for more complicated logic lets you write easier to navigate playbooks.
Additionally we will review:
- A light Ansible overview
- Explanations of Ansible modules and plugins
- How testing fits in
The paywall at Wired.com, TheAtlantic.com and other websites implement a paywall with javascript. The source page that is sent has the entire article. This talk is about the use of the BeautifulSoup package (which manipulates HTML documents) to read what the web site sends.
In this session we will perform a full exploration of the Snowpark ML Toolkit using dbt Python models on the dbt Cloud without any package installation. You will learn how Snowflake improves on familiar ML libraries like Scikit-Learn and XGBoost to make them scale within its scalable runtime.
During this session you will:
- Start with 50,000 rows and scale to 50 million rows on various data transformations with the toolkit
- Train and predict a dbt Python model with XGBoost
- Switch between SQL and Python transformations in a pipeline where dbt takes care of the boilerplate code when pushing to Snowflake
A natural language chatbot accessible using SMS and the internet. Under the hood it uses langchain (a way to augment LLMs) that currently is accessible through its SMS interface ( and web interface (http://www.securday.com) . Under the hood it is 94% Python using langchain to manage the interactions with OpenAI's GPT-4 and can calculate with wolfram alpha , create and run python scripts, interact with Bash and retrieve shodan's security scans.
In this lightning talk, you will learn about 5 cool Python modules that are guaranteed to boost your productivity and expand your coding horizons. Join us for this thrilling session and discover these exciting Python modules!
Learn about how Python can help product managers with some of the day to day tasks that are needed to understand how their products are used, prototype ideas to explain to engineering teams and help you avoid drowning in spreadsheets.
Everyone in 2020 developed a new hobby, mine was tabletop storytelling. I started searching for tools that would help me keep track of the complex relationships inside the stories, but nothing fit my desires for a fast and easy-to-use wiki to keep track of our lore. In this talk, I'll introduce you to secret-wiki, a project I started to make editing and sharing more fun. React + FastAPI.
I'll be going over new features and changes in Pydantic V2. Pydantic is a very popular schema definition and data validation library for Python.
Demonstration of using Python as the core of a multi-language workflow to mine through terabytes of genomic data.