• Pandas in Python – Selecting data

    Pandas in Python – Selecting data

    This blog provides a list of commonly used functions in pandas for selecting data. Explanation, examples and exercises are provided to help you to learn.


  • Connect your Jupyter Notebook to the BigQuery

    Connect your Jupyter Notebook to the BigQuery

    Hi, This is Jing, a data analyst with great passion for data science and big data technology. This blog gonna to show you how to connect your Jupyter Notebook to the BigQuery by using a service account.


  • A/B test: client side vs. server side.

    A/B test: client side vs. server side.

    In the beginning, I didn’t pay much attention to how A/B test actually technically works as long as they meet my requirement listed below. As a result, our talented developers just built a simple traffic allocator for running A/B test in our server side. It worked and works really well in fact, but it slows…


  • Analyze the A/B test result for Product Optimization

    Analyze the A/B test result for Product Optimization

    In this blog I want to share how I usually analyze the result for a Web experiment aka A/B test analysis. I will talk about what we need to measure for a test, what we need pay attention to and how we conclude on which one is a winner for this test.


  • A/B test for Product Optimisation

    A/B test for Product Optimisation

    In this blog, I am gonna to talk about what is AB test, why we need to do AB test and how the AB test works from a technical perspective.