PyCon 2018 有哪些值得關注的演講?

iTwocucao發表於2019-02-27

國內沒有很多關注PyCon的文章介紹, 生命苦短, 我用Python, 國內怎麼能缺少關注 PyCon 的資料呢?

我看技術演講的時候，關注的東西至少是具備下面三者之一的：

  1. 有趣。
  2. 實用。
  3. 技術性很強。

舉個例子

  1. K 神介紹 pipenv 這種包管理工具，屬於有趣並且實用的東西。這是有趣的東西，實用的，指的關注的演講。
  2. 介紹社群新出彩的依賴庫，介紹一些優化類的，演算法與資料結構類，非同步之類的，這是技術性很強的東西。
  3. 像國內一些無聊的，貼中小公司壓根不能落地技術架構的，屬於裝逼併且不有趣並且不實用的東西。
  4. 技術性不是很強的，但是對社群很有意義的。比如，教育推廣，以及扯扯工程師成長的內容，後者可能對個人成長很有幫助，但這不在本人的關注之列。
  ▼ Python In Depth : section
  ▼ New Python Feature : section
      Python Under The Hood : section
      Async related : section
      Module In Depth : section
      Optimizing : section
  ▼ Web 開發相關 : section
      Django 相關 : section
      Web Developing : section
  ▼ 資料科學 : section
  ▼ 構建 / 測試 / 文件 / 程式碼質量 : section
複製程式碼

Python In Depth

New Python Feature

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

py3.7 之後可以使用 importlib.resources 來讀取包內部的非程式碼檔案。

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

py3.7 之後引入的 dataclasses , 善用之可以極大的減少程式碼

Python Under The Hood

講解一些 Python 在編譯方面的姿勢。

  • 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

非同步在這幾年的 IO 密集型應用中已經是大勢所趨了

  • 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

帶你深入 Python 的部分特性的模組

  • 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

覺得應用程式慢，不妨來借鑑一下別人的優化思路。

  • 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 開發相關

Django 相關

Django 相關姿勢

  • 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 是這幾篇中最值得多刷幾遍的。有機會寫篇文章來解析一下。

Web Developing

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

資料科學

  • 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

一個非常值得關注的新的視覺化庫

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

Python 在 GIS 分析和地圖上的一些應用

  • 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

構建 / 測試 / 文件 / 程式碼質量

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

新時代的包管理軟體，Kenneth Reitz 親自操刀

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

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

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

PyCharm 與 pytest 集合

  • Carol Willing – Practical Sphinx – PyCon 2018

用 sphinx 來寫文件。

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

如何優雅的寫 Python

  • Jack Diederich – HOWTO Write a Function – PyCon 2018

十五年的開發老司機教你如何寫一個 Function

  • Kyle Knapp – Automating Code Quality – PyCon 2018

高質量程式碼的維護

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

其他技術棧

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

寫在最後

這裡面有幾個還是值得二刷甚至N刷的, 等我刷完了寫幾篇文章詳細介紹一下.

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