PyCon 2018 有哪些值得关注的演讲?

国内没有不少关注PyCon的文章介绍, 生命苦短, 我用Python, 国内怎么能缺乏关注 PyCon 的资料呢?

我看技术演讲的时候，关注的东西至少是具有下面三者之一的：

1. 有趣。
2. 实用。
3. 技术性很强。

举个例子

1. K 神介绍 pipenv 这种包管理工具，属于有趣而且实用的东西。这是有趣的东西，实用的，指的关注的演讲。
2. 介绍社区新出彩的依赖库，介绍一些优化类的，算法与数据结构类，异步之类的，这是技术性很强的东西。
3. 像国内一些无聊的，贴中小公司压根不能落地技术架构的，属于装逼而且不有趣而且不实用的东西。
4. 技术性不是很强的，可是对社区颇有意义的。好比，教育推广，以及扯扯工程师成长的内容，后者可能对我的成长颇有帮助，但这不在本人的关注之列。

▼ Python In Depth : section
  ▼ New Python Feature : section
      Python Under The Hood : section
      Async related : section
      Module In Depth : section
      Optimizing : section
  ▼ Web 开发相关 : section
      Django 相关 : section
      Web Developing : section
  ▼ 数据科学 : section
  ▼ 构建 / 测试 / 文档 / 代码质量 : section
复制代码

Python In Depth

New Python Feature

• Barry Warsaw - Get your resources faster, with importlib.resources - PyCon 2018

py3.7 以后可使用 importlib.resources 来读取包内部的非代码文件。

• Raymond Hettinger - Dataclasses: The code generator to end all code generators - PyCon 2018

py3.7 以后引入的 dataclasses , 善用之能够极大的减小代码

Python Under The Hood

讲解一些 Python 在编译方面的姿式。

• David Beazley - Reinventing the Parser Generator - PyCon 2018
• Emily Morehouse-Valcarcel - The AST and Me - PyCon 2018
• James Bennett - A Bit about Bytes: Understanding Python Bytecode - PyCon 2018

Async related

异步在这几年的 IO 密集型应用中已是大势所趋了

• Nathaniel J. Smith - Trio: Async concurrency for mere mortals - PyCon 2018
• John Reese - Thinking Outside the GIL with AsyncIO and Multiprocessing - PyCon 2018

Module In Depth

带你深刻 Python 的部分特性的模块

• Mario Corchero - Effortless Logging: A deep dive into the logging module - PyCon 2018
• Carl Meyer - Type-checked Python in the real world - PyCon 2018
• Hillel Wayne - Beyond Unit Tests: Taking Your Testing to the Next Level - PyCon 2018
• Zekun Li - There and Back Again: Disable and re-enable garbage collector at Instagram - PyCon 2018

Optimizing

以为应用程序慢，不妨来借鉴一下别人的优化思路。

• vigneshwer dhinakaran - Pumping up Python modules using Rust - PyCon 2018
• Matt Davis - Python Performance Investigation by Example - PyCon 2018
• Mike Müller - Faster Python Programs - Measure, don't Guess - PyCon 2018
• Ned Batchelder - Big-O: How Code Slows as Data Grows - PyCon 2018

Web 开发相关

Django 相关

Django 相关姿式

• Shauna Gordon-McKeon - Beyond Django Basics - PyCon 2018
• Harry Percival - Intermediate testing with Django: Outside-in TDD and Mocking effectively
• Harry Percival - Introduction to TDD with Django - PyCon 2018
• Philip James - API-Driven Django - PyCon 2018
• Andrew Godwin - Taking Django Async - PyCon 2018

Note Taking Django Async 是这几篇中最值得多刷几遍的。有机会写篇文章来解析一下。

Web Developing

• Moshe Zadka - Web Applications, A to Z - PyCon 2018
• Graham Dumpleton - Secrets of a WSGI master. - PyCon 2018

数据科学

• Alex Petralia - Analyzing Data: What pandas and SQL Taught Me About Taking an Average - PyCon 2018

• Aly Sivji, Joe Jasinski, tathagata dasgupta (t) - Docker for Data Science - PyCon 2018

• Anna Nicanorova - Data Visualization in Mixed Reality with Python - PyCon 2018

• Chalmer Lowe - Statistics and probability: your first steps on the road to data science - PyCon 2018

• Christopher Beacham / Lady Red - Visualizing Algorithms with Python and Programmable LEDs

• Christopher Fonnesbeck - Bayesian Non-parametric Models for Data Science using PyMC3 - PyCon 2018

• Kelsey Pedersen - Augmenting Human Decision Making with Data Science - PyCon 2018

• The importance of exploratory data analysis and data visualization in machine learning - PyCon 2018

• Jake VanderPlas - Performance Python: Seven Strategies for Optimizing Your Numerical Code

• Jake VanderPlas - Exploratory Data Visualization with Vega, Vega-Lite, and Altair - PyCon 2018

一个很是值得关注的新的可视化库

• Christy Heaton - Intro to Spatial Analysis and Maps with Python - PyCon 2018

Python 在 GIS 分析和地图上的一些应用

• Eric Ma, Mridul Seth - Network Analysis Made Simple: Part I - PyCon 2018
• Mridul Seth, Eric Ma - Network Analysis Made Simple: Part II - PyCon 2018
• Nicolle Cysneiros - Graph Databases: Talking about your Data Relationships with Python - PyCon 2018

Python 在 network 方面的分析

构建 / 测试 / 文档 / 代码质量

• Kenneth Reitz - Pipenv: The Future of Python Dependency Management - PyCon 2018

新时代的包管理软件，Kenneth Reitz 亲自操刀

• Dustin Ingram - Inside the Cheeseshop: How Python Packaging Works - PyCon 2018

普及 setup.py / wheels / eggs / setuptools / distutils / twine 的姿式

• Brian Okken, Paul Everitt - Visual Testing with PyCharm and pytest - PyCon 2018

PyCharm 与 pytest 集合

• Carol Willing - Practical Sphinx - PyCon 2018

用 sphinx 来写文档。

• Nina Zakharenko - Elegant Solutions For Everyday Python Problems - PyCon 2018

如何优雅的写 Python

https://www.slideshare.net/nnja/elegant-solutions-for-everyday-python-problems-pycon-2018

• Jack Diederich - HOWTO Write a Function - PyCon 2018

十五年的开发老司机教你如何写一个 Function

• Kyle Knapp - Automating Code Quality - PyCon 2018

高质量代码的维护

• Greg Price - Clearer Code at Scale: Static Types at Zulip and Dropbox - PyCon 2018

其余技术栈

• Julie Qiu - Build a Search Engine with Python + Elasticsearch - PyCon 2018
• Julie Qiu - Strategies to Edit Production Data - PyCon 2018

写在最后

这里面有几个仍是值得二刷甚至N刷的, 等我刷完了写几篇文章详细介绍一下.