google python class

The first part of Google's Python Class, taught by Nick Parlante, introducing the language and its strings. It is aimed at people with some programming familiarity and comes with exercises.

Raymond Hettinger explains Python's dataclasses module, showing the problem it solves and its key design decisions. He places it in a progression from tuples and dicts through named tuples and attrs.

Alex Martelli's Google Developers Day talk on classic design patterns (creational, structural and behavioral) and how they appear in Python. He stresses that patterns must be studied in the context of the implementing language.

Jack Diederich's PyCon 2012 talk argues that classes are overused in Python and walks through real code, refactoring away unnecessary classes, exceptions and modules. It popularized the heuristic that a class with two methods, one being __init__, should be a function.

Armin Ronacher's EuroPython 2017 keynote examining how the CPython interpreter's leaky abstractions affect language design and how Python could evolve, drawing on JavaScript and Rust experience.

A seven-minute Google I/O 2014 talk by Simon Newton on how developers can make use of Google's global network. It describes the network's footprint and some of the services running on it.

The Google I/O 2018 keynote led by Sundar Pichai, covering Google's product and platform announcements. Highlights included AI features such as smart replies and the Assistant.

The classic Monty Python sketch in which four Yorkshiremen compete to claim the hardest upbringing, each story more absurd than the last.

Raymond Hettinger's PyCon 2013 talk on transforming code into idiomatic Python through a series of before-and-after refactorings. It shows how to use iterators, dictionaries, named tuples and other language features well.

Stanford Blitzscaling class session where Reid Hoffman interviews Eric Schmidt about structuring teams and scaling Google. Topics include Alphabet, hiring, and how Chrome and Android operated inside the company.

The first episode of Google's Machine Learning Recipes series. It introduces machine learning and builds a first supervised-learning classifier in about six lines of Python using scikit-learn.

The Google I/O 2009 keynote introducing Google Wave, a real-time collaborative communication and document platform. It includes a long live demo and the developer preview announcement.

The Monty Python sing-along of Always Look on the Bright Side of Life, the closing song from Life of Brian.

Google's 2008 press announcement of its open source browser, Chrome, featuring Sundar Pichai among the presenters.

The classic Life of Brian scene in which revolutionaries list everything the Romans have done for them, from aqueducts to roads.

The day 2 keynote at Google Cloud Next '17, announcing new GCP and G Suite products with demos and customer stories from Google leaders.

Armin Ronacher, creator of Flask, explains how CPython's internals and C API leak into the language's semantics. Using examples like the complexity of the add operation, he shows why Python is hard to optimize or reimplement.

Larry Hastings explains what Python's GIL is, what problems it solves and how it works, and presents his Gilectomy project to remove it, including the performance and C-extension obstacles.

Lex Fridman interviews Travis Oliphant, creator of NumPy, SciPy and Anaconda, about scientific Python and its history. It runs about three hours.

A roughly three-hour Lex Fridman podcast conversation with Guido van Rossum, the creator of Python. Topics include Python's design, the GIL, asyncio, the future of programming and AI coding tools.

Brandt Bucher presents his prototype JIT compiler for CPython at the 2023 Core Developer Sprint. He explains the copy-and-patch approach, the implementation and its performance.

A PyData London 2018 talk on how JPMorgan scaled its Athena Python platform over ten years to about 35 million lines of code and thousands of developers. It covers infrastructure, tooling and culture for analytics and visualization at that scale.

The classic Monty Python 'Argument Clinic' sketch, lightly trimmed, in which a man pays for an argument and gets contradiction instead.

The classic Monty Python Four Yorkshiremen sketch from Live at the Hollywood Bowl, in which four men try to outdo each other with exaggerated tales of childhood hardship.

A Ryan George comedy sketch about the experience of using Google search in 2022, where results are full of ads, spam and Reddit and Amazon detours.

An open Q&A with Python creator Guido van Rossum hosted by Microsoft Reactor, covering his career, PyCon's origins and his opinions on other languages.

Google's "Dear Sophie" Chrome ad, in which a father emails his daughter's life moments to her future self over the years. It portrays an email account as a lifelong keepsake.

Peter Norvig's 2007 Google talk on theorizing from data, covering what huge datasets can do for language understanding, translation, information extraction and inference. It argues that more data often beats cleverer models.

An overview of the PTVS 2.0 beta feature for debugging Python and C/C++ together in one session in Visual Studio.

Conan O'Brien and Andy Richter visit Google's Mountain View headquarters in 2010 for a comedic Q&A. Conan jokes with the interviewer and the Google audience.

Google engineers describe Google's internal build system, a unified, language-agnostic system used across the company. It was presented as a 2012 NYC tech talk.

A Google Tech Talk by Raymond Blum on how Google backs up massive amounts of data such as Gmail and Picasa. It covers scaling challenges, failure types, and approaches that did not work, including tape.

A short Google video introducing the Quantum AI Lab, a partnership between Google, NASA, USRA and a 512-qubit D-Wave Two quantum computer. It covers the lab's early goals and some potential applications of quantum computing.

Joe Kava, VP of Google's Data Center Operations, gives a short tour of a Google data center. He covers security, sustainability and the core infrastructure architecture.

A two-minute Google video of its self-driving car handling city street scenarios near the Googleplex. It shows the car dealing with cyclists, pedestrians, construction and a railroad crossing.

James Powell's nearly two-hour PyData talk builds up Python's data model, decorators, generators and context managers, coding live in Vim. It aims to take intermediate programmers toward real Python expertise.

Brandon Rhodes' PyOhio 2014 talk on applying the Clean Architecture in Python. He shows how this high-level design pattern fits Python's features and addresses maintainability problems in large applications.

David Beazley's PyCon 2010 talk explains how the Python Global Interpreter Lock works and shows experiments where multithreaded code runs slower, even on more cores, due to lock contention and context-switching overhead.

Jeff Dean of Google describes his experiences building Google's systems and how its infrastructure evolved over time. The Stanford talk covers search, scaling tipping points and lessons from building large-scale software.

Jordan Peterson's roughly 50-minute interview with James Damore, the fired Google engineer, going through his diversity memo nearly line by line. The description links the scientific literature behind the claims.