Links to people who are just starting data analysis with python
This is a collection of links for people who are just starting data analysis with python. (* Since I am writing for juniors in the laboratory, the keyword "research" comes up frequently.)
- Target: People who are just starting to analyze data using python
- Purpose: This field has high hurdles for complete beginners (environment setting is troublesome, too much research is done and it is difficult to know what to start with, etc.), so the purpose is to give keywords that can be used as hints for research. ..
Introduction
It is said that the skills used in data analysis are divided into three. (From Data Scientist Association Press Release)
Here, based on these three, I will briefly review articles and keywords that may be useful for "data engineering" and "business", which have a strong supportive meaning in research. (Of course, if you can't do this, you can't research in the first place, so it's super important!) If you can use it as a reference for the start dash ◎!
Link list
Links related to "data engineering"
--Package management for macOS - homebrew --Co-development related - git - github --Commentary site: "Introduction to Git that even monkeys can understand" --qiita article: "Development flow training @ Wantedly" etc. --python related --Version control & virtual environment construction - pyenv - pyenv-virtualenv - (for Windows) anaconda --Package management - pip --Programming environment --Interactive environment jupyter notebook --IDE (such as pycharm) --Famous library --numpy, scipy, sklearn, pandas, matplotlib, deep learning libraries (tensorflow, theano, etc.), etc. - web app --Slideshare: "Web application development starting with Python" -django, etc. --Database related --RDB (mysql) --MySQL driver for use from python ([mysql-connector-python](https://dev.mysql.com/doc/connector-python/en/ etc.)) --A little advanced ORM (SQLALCHEMY) --Slideshare: "Overview of big data processing database and proper use" etc. --Language processing --Japanese morphological analysis: MeCab and mecab-python, etc. --Excellent dictionary: mecab-ipadic-NEologd --Natural language processing of English NLTK, etc.
- If you google, many articles will come out! Check it out if you need it!
Links related to "business (≒ research)"
--Mindset
--Slideshare: "Research Method"
--Tell people
--Logic
--Book: [Thinking / Writing](https://www.amazon.co.jp/ Thinking / Writing-Pyramid Principles to Improve Problem Solving-Barbara-Mint / dp / 4478490279)
--Book: Logical Presentation
--Slide
--Web article: "30 selections of consulting think tank survey materials"
--Web article: "This is a ready-to-use slide! 15 selections of real presentation materials from famous companies in the Internet area"
--Planning
--Slideshare: "TIS Internship 2016 Material"
--Writing and examining a dissertation
--Blog: "Aiming for a collection of links on how to write a dissertation and how to survey"
--tex related
- MacTex
--Blog: "Share a calendar that shows" the dates of major international conferences for data analysis "and" deadlines for paper submissions ""
--Blog: "How to collect information in the machine learning area"
that's all. I would appreciate it if you could write such a useful link.
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