By Patrick Baum on Unsplash

1. 12 Python Snippets That Will Boost Your Productivity

I learned some interesting things from this blog, such as below:

  • The itertools and collections are very useful, they have high performance functions that can help you save a lot of time in optimizing your code.
  • By applying a simple trick, build an interleave list is much easier than I…
Brainstorming over paper, author Scott Graham on Unsplash

1. Indicator selection and stock return predictability, by Zhifeng Dai , Huan Zhu

In this research paper, the authors tried to solve the problem that how to build a winning portfolio from previous simple indicators/strategies. The method that the authors used is momentum-determined indicator-switching (MDIS) strategy.

Though this research is applied to stock market return, and the predictors include micro- and macro-variables, but…

Interesting news/blogs that I read during a week.

Honeysuckle — Flowers of June

1. 16 Must-Know Bash Commands for Data Scientists

It is a good article for people who begin to work in Linux/MacOS environment.

The author is fairly an excellent engineer and a good blogger: his articles are simple, clear and useful to everyone who wants to get familiar faster with Python.

2. 4 Tricks for Making Python Pandas More Efficient

Today is May 3rd 2021. My learning plan is as below:

  • Practice coding: Do at least 3 coding questions per week from the book Daily Coding Problemof Alex Miller and Lawrence Wu.
  • Learn Scala programming: should spend 2–3 hours per week
  • Learn SQL: tbd
  • Write Clean Code and Unit tests: should review codes that I have written.

Hi everyone,

I have made a decision that I need to improve my coding skill day by day to keep track with the lightning pace of data industry’s evolution. In this blog, I’m happy to share with you all problems from books that I challenge myself everyday. Hope that it…

Hi folks,

You must be very patient to read my previous blog about momentum strategies, so I really appreciate that. In this blog, I just want to share with you some interesting problems in coding that I have collected from books and my friends. …

K for What?

Quant Researcher, Data Scientist, Food Hater (so I eat them a lot).

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