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PyCon 2017

https://us.pycon.org/2017/

The sessions that are interesting to me at PyCon 2017.


Tutorials

https://us.pycon.org/2017/schedule/tutorials/

Contract-First API Development Using The OpenAPI Specification (Swagger)

https://us.pycon.org/2017/schedule/presentation/52/

Cross-platform Native GUI development with BeeWare

https://us.pycon.org/2017/schedule/presentation/166/

Using Functional Programming for efficient Data Processing and Analysis

https://us.pycon.org/2017/schedule/presentation/24/

Exploratory data analysis in python

https://us.pycon.org/2017/schedule/presentation/170/

Network Analysis Made Simple

https://us.pycon.org/2017/schedule/presentation/61/

Decorators and descriptors decoded

https://us.pycon.org/2017/schedule/presentation/230/

Microservices with Python and Flask

https://us.pycon.org/2017/schedule/presentation/64/

ContainerOrchestration.py: The tutorial session

https://us.pycon.org/2017/schedule/presentation/5/

Time Series Analysis

https://us.pycon.org/2017/schedule/presentation/235/

Introduction to Statistical Modeling with Python

https://us.pycon.org/2017/schedule/presentation/199/

Complexity Science

https://us.pycon.org/2017/schedule/presentation/200/

https://www.safaribooksonline.com/library/view/think-complexity/9781449331672/

Faster Python Programs - Measure, don't Guess

https://us.pycon.org/2017/schedule/presentation/168/

Creating And Consuming Modern Web Services with Twisted

https://us.pycon.org/2017/schedule/presentation/120/

IPython and Jupyter in Depth: High productivity, interactive Python

https://us.pycon.org/2017/schedule/presentation/184/

Build a data pipeline with Luigi

https://us.pycon.org/2017/schedule/presentation/210/

Python Epiphanies

https://us.pycon.org/2017/schedule/presentation/228/

Effectively running python applications in Kubernetes/OpenShift

https://us.pycon.org/2017/schedule/presentation/222/

Parallel Data Analysis

https://us.pycon.org/2017/schedule/presentation/189/

Best Testing Practices for Data Science

https://us.pycon.org/2017/schedule/presentation/182/


Schedule / Non-Talk Sessions

https://us.pycon.org/2017/schedule/talks/

Friday

Welcome

Keynote 1: Jake Vanderplas

Lightning Talks - Friday Evening

Saturday

Lightning Talks - Saturday Morning

Keynote 2: Lisa Guo & Hui Ding

Keynote 3: Katy Huff

Lightning Talks - Saturday Evening

Sunday

Lightning Talks - Sunday Morning

Panel: Paul Everitt with Guido van Rossum and others

Keynote 4: Kelsey Hightower

Final Remarks and Conference Close


Talks

https://us.pycon.org/2017/schedule/talks/

5 ways to deploy your Python web app in 2017

https://us.pycon.org/2017/schedule/presentation/779/

A gentle introduction to deep learning with TensorFlow

https://us.pycon.org/2017/schedule/presentation/2/

An Introduction to Reinforcement Learning

https://us.pycon.org/2017/schedule/presentation/708/

async/await and asyncio in Python 3.6 and beyond

https://us.pycon.org/2017/schedule/presentation/511/

Asynchronous Python for the Complete Beginner

https://us.pycon.org/2017/schedule/presentation/102/

Awesome Command Line Tools

https://us.pycon.org/2017/schedule/presentation/518/

Big picture software testing: unit testing, Lean Startup, and everything in-between

https://us.pycon.org/2017/schedule/presentation/397/

Building Stream Processing Applications

https://us.pycon.org/2017/schedule/presentation/392/

Constructive Code Review

https://us.pycon.org/2017/schedule/presentation/663/

Cython as a Game Changer for Efficiency

https://us.pycon.org/2017/schedule/presentation/693/

Dask: A Pythonic Distributed Data Science Framework

https://us.pycon.org/2017/schedule/presentation/402/

Debugging in Python 3.6: Better, Faster, Stronger

https://us.pycon.org/2017/schedule/presentation/526/

Decorators, unwrapped: How do they work?

https://us.pycon.org/2017/schedule/presentation/557/

Designing secure APIs with state machines

https://us.pycon.org/2017/schedule/presentation/756/

Dial M For Mentor

https://us.pycon.org/2017/schedule/presentation/29/

Experiment Assignment on the Web

https://us.pycon.org/2017/schedule/presentation/389/

Fuzzy Search Algorithms: How and When to Use Them

https://us.pycon.org/2017/schedule/presentation/689/

Grok the GIL: Write Fast And Thread-Safe Python

https://us.pycon.org/2017/schedule/presentation/320/

Hacking Classic Nintendo Games with Python

https://us.pycon.org/2017/schedule/presentation/732/

How to make a good library API

https://us.pycon.org/2017/schedule/presentation/49/

How to write a Python transpiler

https://us.pycon.org/2017/schedule/presentation/410/

Immutable Programming - Writing Functional Python

https://us.pycon.org/2017/schedule/presentation/729/

In-Memory Event Resequencing: Realistic Testing For Impossible Bugs

https://us.pycon.org/2017/schedule/presentation/760/

Instagram Filters in 15 Lines of Python

https://us.pycon.org/2017/schedule/presentation/485/

Introduction to Threat Modeling

https://us.pycon.org/2017/schedule/presentation/661/

Know thy self: Methods and method binding

https://us.pycon.org/2017/schedule/presentation/768/

Level up! Rethinking the Web API framework.

https://us.pycon.org/2017/schedule/presentation/468/

Leveraging Serverless Architecture for Powerful Data Pipelines

https://us.pycon.org/2017/schedule/presentation/566/

Library UX: Using abstraction towards friendlier APIs

https://us.pycon.org/2017/schedule/presentation/781/

Look mum no hands! From blinking LEDs to a bike speedometer with MicroPython

https://us.pycon.org/2017/schedule/presentation/556/

Looping Like a Pro in Python

https://us.pycon.org/2017/schedule/presentation/349/

Magic Method, on the wall, who, now, is the __fairest__ one of all?

https://us.pycon.org/2017/schedule/presentation/486/

Modern Python Dictionaries -- A confluence of a dozen great ideas

https://us.pycon.org/2017/schedule/presentation/18/

Next Level Testing

https://us.pycon.org/2017/schedule/presentation/705/

No More Sad Pandas: Optimizing Pandas Code for Speed and Efficiency

https://us.pycon.org/2017/schedule/presentation/628/

One Data Pipeline to Rule Them All

https://us.pycon.org/2017/schedule/presentation/298/

Optimizations which made Python 3.6 faster than Python 3.5

https://us.pycon.org/2017/schedule/presentation/487/

Packaging Let’s Encrypt: Lessons learned shipping Python code to hundreds of thousands of users

https://us.pycon.org/2017/schedule/presentation/291/

Prehistoric Patterns in Python

https://us.pycon.org/2017/schedule/presentation/359/

Probabilistic Programming with PyMC3

https://us.pycon.org/2017/schedule/presentation/473/

Python in The Serverless Era

https://us.pycon.org/2017/schedule/presentation/469/

Rants and Ruminations From A Job Applicant After 💯 CS Job Interviews in Silicon Valley

https://us.pycon.org/2017/schedule/presentation/430/

Readability Counts

https://us.pycon.org/2017/schedule/presentation/31/

Requests Under The Hood

https://us.pycon.org/2017/schedule/presentation/71/

Share Your Code! Python Packaging Without Complication

https://us.pycon.org/2017/schedule/presentation/675/

Snek in the Browser

https://us.pycon.org/2017/schedule/presentation/51/

Solid Snakes or: How to Take 5 Weeks of Vacation

https://us.pycon.org/2017/schedule/presentation/146/

Static Types for Python

https://us.pycon.org/2017/schedule/presentation/678/

The Dictionary Even Mightier

https://us.pycon.org/2017/schedule/presentation/520/

The Gilectomy: How's It Going?

https://us.pycon.org/2017/schedule/presentation/118/

The Glory of pdb's set_trace

https://us.pycon.org/2017/schedule/presentation/753/

The Memory Chronicles: A Tale of Two Pythons

https://us.pycon.org/2017/schedule/presentation/477/

The Next Step: Finding Model Parameters With Random Walks

https://us.pycon.org/2017/schedule/presentation/764/

The Python Visualization Landscape

https://us.pycon.org/2017/schedule/presentation/616/

The Wild West of Data Wrangling

https://us.pycon.org/2017/schedule/presentation/644/

Title Available On Request: An Introduction to Lazy Evaluation

https://us.pycon.org/2017/schedule/presentation/769/

Tracing, Fast and Slow: Digging into and improving your web service’s performance

https://us.pycon.org/2017/schedule/presentation/565/

Unicode: what is the big deal?

https://us.pycon.org/2017/schedule/presentation/345/

What's in your pip toolbox?

https://us.pycon.org/2017/schedule/presentation/653/

What's new in Python 3.6

https://us.pycon.org/2017/schedule/presentation/292/

When the abyss gazes back: staring down Python's surprising internals

https://us.pycon.org/2017/schedule/presentation/309/


Posters

https://us.pycon.org/2017/schedule/posters/list/

Coconut: A Novel Language for Functional Programming in Python

https://us.pycon.org/2017/schedule/presentation/56/

Django REST framework

https://us.pycon.org/2017/schedule/presentation/466/

Earning with a capital L

https://us.pycon.org/2017/schedule/presentation/643/

educational framework for constructing black box optimization methods based on Python modules

https://us.pycon.org/2017/schedule/presentation/323/

Feeling Down? You're Not Alone! Tech Burnout and Mental Health

https://us.pycon.org/2017/schedule/presentation/690/

Hybrid Vocal Classifier: a package for automated labeling of birdsong

https://us.pycon.org/2017/schedule/presentation/451/

Improving readability of online content by removing abusive speech using Python

https://us.pycon.org/2017/schedule/presentation/728/

JupyterHub: Interactive Learning at Scale

https://us.pycon.org/2017/schedule/presentation/717/

MAKING BIG DATA A LITTLE BIT SMALLER

https://us.pycon.org/2017/schedule/presentation/606/

Model Management Systems: Scikit-Learn and Django

https://us.pycon.org/2017/schedule/presentation/318/

On the Hour Data Ingestion from the Web to a Mongo Database

https://us.pycon.org/2017/schedule/presentation/324/

Science: give DueCredit to software and methods developers!

https://us.pycon.org/2017/schedule/presentation/338/

The Personality of the Snake: Personality Recognition using Convolutional Neural Networks

https://us.pycon.org/2017/schedule/presentation/667/

Training and Using Haar Classifiers in OpenCV

https://us.pycon.org/2017/schedule/presentation/532/

Using Lazy Evaluation to Optimize Python Programs

https://us.pycon.org/2017/schedule/presentation/640/