- Write-ahead logging mode for SQLite 3.7, for simultaneous reads and writes
- "Tupleware outperforms [Spark, Hadoop, etc] by up to three orders of magnitude"
- "llvmlite is born of the desire to have a new Python binding to LLVM for use in Numba"
- How the built-in Enum type creates values with meta-classes
- PEP 447: "Add __getdescriptor__ method to metaclass"
- "If __new__() does not return an instance of cls, then the new instance’s __init__() method will not be invoked."
- Boltzmann machine: Machine learning with unlabelled data
- Sigmoid: "The decision function"
- Caffe: "A deep learning framework made with expression, speed, and modularity in mind"
- Anscombe's quartet: "Four datasets that have nearly identical simple statistical properties, yet appear very different when graphed"
- SPLOMs are Scatterplot matrices: "Determine if you have a linear correlation between multiple variables"
- "A sequence of random variables is Homoscedastic if all random variables in the sequence or vector have the same finite variance"
- Receiver operating characteristic: "A graphical plot that illustrates the performance of a binary classifier system"
- Scikit learn's estimator flow chart: How to choose one
- Yellowbrick: "Suite of visual analysis and diagnostic tools to facilitate feature selection, model selection, and parameter tuning for machine learning"
- "PEP8 is dead": The tool, not the PEP document; use pycodestyle instead
- Open Science Framework: "A free web app that supports project management and collaboration, connects services across the research lifecycle, and archives data, materials, and other research objects for private use or public sharing"
- Landauer bounds: "the lower theoretical limit of energy consumption of computation"
- Sparse distributed memory: "a mathematical model of human long-term memory"
- Additional unpacking syntax from PEP 448 is in Python 3.5
- Underscores in numbers will be available in Python 3.6
- A module for generating secrets will be in Python 3.6
- Larry Hastings' "GIL-ectomy" project
- Guido's King's Day speech: Also given at PyCon
- Error Prone: "A static analysis tool for Java that catches common programming mistakes at compile-time"
- Yet Another Python Formatter: "end all holy wars about formatting"
- There are differences between PyType and mypy for static analysis following PEP484
- Doug Hellmann's Smiley debugger
- Wordnik: "the world's biggest online English dictionary, by number of words"
- Fabric: "Write and execute Python functions, or tasks, to automate interactions with remote servers"
- The Seminal Kalman Filter Paper: Quickly approximating time series, used by Apollo computer
- Computational Science and Engineering: By Gilbert Strang, Professor of Math at MIT
- Falcon: "Minimal Python web framework for building microservices"
- BBC Microbit Python Guide: The board they're giving to all students in the UK
- Statistical Thinking for Data Science: Talk from SciPy 2015 conference
- MicroPython on the ESP8266: $10 board that runs Python
- NumFOCUS: The non-profit organization for NumPy, Julia, etc
- rwatch: Module to hook read accesses
- Prosaic: "Prose scraper & cut-up poetry generator"
- Use the vars() built-in function instead of accessing __dict__
- When should you prefer the format() built-in and __format__ instead of str()?
- Flake8: "Check the style and quality of some python code"
- Pandora: "A handheld game console and mobile personal computer"
- Fixed point combinator in Python
- Thespian: "Framework of an Actor model for use by applications implementing Actors"
- Documentation for Python pth files for configuring site packages
- addCleanup in the built-in unittest module
- Probabilistic Programming & Bayesian Methods for Hackers
- Statistics is Easy by Shasha & Wilson
- Resampling: The New Statistics by Julian L. Simon
I also have a set of links from last year's PyCon as well.