Python with PY Family * Directed graph traversal, orderings and applications to data-flow analysis [http://eli.thegreenplace.net/2015/directed-graph-traversal-orderings-and-applications-to-data-flow-analysis/] * 유향 그래프 순회를 통한 데이터 흐름을 분석하는 튜토리얼 * 그러나, '본격 신나고 즐거운 자료구조' 시간 되겠음 * Twitter bot using Google Spreadsheets in Python [https://opensourcehacker.com/2015/10/14/twitter-bot-using-google-spreadsheets-in-python/

Python with PY Family * An Intro to argparse [http://www.blog.pythonlibrary.org/2015/10/08/a-intro-to-argparse/] * CLI에서 몇가지 실행 옵션이 필요한 경우 파이썬 3의 표준 라이브러리에 추가된 argparse 모듈을 사용하는 매우 간단한 튜토리얼 * 한국어로 된 튜토리얼 중 추천할 만한 문서는 이곳 [http://hwanho.net/blog/2014/08/22/argparse-module/

Python with PY Family * Building Data Products with Python: Using Machine Learning to Provide Recommendations [https://www.codementor.io/python/tutorial/build-data-products-django-machine-learning-clustering-user-preferences] * 기초적인 튜토리얼 * 'Step by Step'으로 충분히 재미있게 진행할 수 있음 Etc * Stats for hackers [https://speakerdeck.com/jakevdp/statistics-for-hackers] * 통계적인 측면에서 볼 내용들이 더 많음

Python with PY Family * Building Generic Data Queries using Python AST [http://tech-blog.serenytics.com/building-generic-data-queries-using-python-ast.html] * pandas와 sql을 AST를 사용해서 한번에 해결하는 방법을 설명하고 있음 * 감히 범접할 능력이 안됨 흐규... * OpenCV Track Object Movement [http://www.pyimagesearch.com/2015/09/21/opencv-track-object-movement] * OpenCV를 사용한 '객체 움직임 추적'

Python with PY Family * Python 3.5.0 was released on September 13th, 2015. [https://www.python.org/downloads/release/python-350] * 이번 주 '빅' 뉴스, python > 3.4로 대동단결 * Let's Build A Simple Interpreter. Part 4. [http://ruslanspivak.com/lsbasi-part4/] * 굉장히 설명히 잘 되어있음. * 용북보다

Python with PY Family * 10 Reasons to love SQLAlchemy [http://pajhome.org.uk/blog/10_reasons_to_love_sqlalchemy.html] * 써야 할 10가지 이유를 알아야 쓰지 말아야 할 100가지 이유를 물리칠 수 있음 * How to Use a Machine Learning Checklist to Get Accurate Predictions, Reliably (even if you are a

Python with PY Family * An example machine learning notebook [http://nbviewer.ipython.org/github/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/example-data-science-notebook/Example%20Machine%20Learning%20Notebook.ipynb?utm_source=Python+Weekly+Newsletter&utm_campaign=f94ce93c9c-Python_Weekly_Issue_207_September_3_2015&utm_medium=email&utm_term=0_9e26887fc5-f94ce93c9c-312709733] * 머신 러닝

Python with PY Family * How to Track NBA Player Movements in Python [http://savvastjortjoglou.com/nba-play-by-play-movements.html?utm_source=Python+Weekly+Newsletter&utm_campaign=88a4432a93-Python_Weekly_Issue_206_August_27_2015&utm_medium=email&utm_term=0_9e26887fc5-88a4432a93-312709733] * 슬램덩크의 '한나' 선배가 되어보자! * Pytest vs Unittest

Python with PY Family * Pycon 2015 [http://www.pycon.kr/2015/] * '파이썬, 다같이, 성공적' * 이런 좋은 행사는 무조건 참석하는 겁니다. 오홋!! * Creating Powerpoint Presentations with Python [http://pbpython.com/creating-powerpoint.html] * 파이썬으로 파워포인트 만들기 == '덕력 증강' * How I Hacked Amazon’s $5 WiFi Button to track