PyCon 2018 有哪些值得關注的演講?

時間 2019-11-15

標籤 pycon 哪些值得關注演講简体版

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國內沒有不少關注PyCon的文章介紹, 生命苦短, 我用Python, 國內怎麼能缺乏關注 PyCon 的資料呢?python

我看技術演講的時候，關注的東西至少是具有下面三者之一的：算法

有趣。
實用。
技術性很強。

舉個例子bash

K 神介紹 pipenv 這種包管理工具，屬於有趣而且實用的東西。這是有趣的東西，實用的，指的關注的演講。
介紹社區新出彩的依賴庫，介紹一些優化類的，算法與數據結構類，異步之類的，這是技術性很強的東西。
像國內一些無聊的，貼中小公司壓根不能落地技術架構的，屬於裝逼而且不有趣而且不實用的東西。
技術性不是很強的，可是對社區頗有意義的。好比，教育推廣，以及扯扯工程師成長的內容，後者可能對我的成長頗有幫助，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
  ▼ 數據科學 : section
  ▼ 構建 / 測試 / 文檔 / 代碼質量 : section
複製代碼

Python In Depth

New Python Feature

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

py3.7 以後可使用 importlib.resources 來讀取包內部的非代碼文件。數據結構

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

py3.7 以後引入的 dataclasses , 善用之能夠極大的減小代碼架構

Python Under The Hood

講解一些 Python 在編譯方面的姿式。app

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

異步在這幾年的 IO 密集型應用中已是大勢所趨了less

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

帶你深刻 Python 的部分特性的模塊異步

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

以爲應用程序慢，不妨來借鑑一下別人的優化思路。ide

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 相關姿式工具

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

數據科學

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

一個很是值得關注的新的可視化庫

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