Chapter 5 Scrubbing Data Chapter 5 Scrubbing Data Two chapters ago, in Step 1 of the OSEMN model for data science, we looked at how to obtain data from a variety of sources. It...

Chapter 4 Creating Reusable Command-line Tools Chapter 4 Creating Reusable Command-line Tools Throughout the book, we use a lot of commands and pipelines that basically fit on ...

The Why of Jug Why jug? A Bit of History Design Criteria The Why of Jug This explains the philosophy behind jug and some of its design decisions. Why jug? A Bit of Histor...

Bibliographies 以及 Citations Bibliographies 定义一个 Bibliography 行内引用 Bibliography 放置 Citations Citation 语法 Unused References (nocite) Citation Styles Citations for PDF Output ...

7.3 Geographic data packages 7.3 Geographic data packages A multitude of R packages have been developed for accessing geographic data, some of which are presented in Table 7.1 ...

Data Analysis with Jupyter Lab TL;DR Jupyter Config 默认值 jupyter_username jupyter_password jupyter_port jupyter_domain Jupyter Playbook infra-jupyter Access PostgreSQL...

Xarray related projects Geosciences Machine Learning Other domains Extend xarray capabilities Visualization Non-Python projects Xarray related projects Here below is a li...

Why use TimescaleDB Why use TimescaleDB TimescaleDB is a relational database for time-series data . It is implemented as an extension to PostgreSQL, which means that it runs wi...

9.5 Regression with SciKit-Learn Laboratory 9.5.1 Preparing the Data 9.5.2 Running the Experiment 9.5.3 Parsing the Results 9.5 Regression with SciKit-Learn Laboratory In th...

Discombobulator Activation Interface Instructions Protrusions Settings Doodads Settings Materials Settings Discombobulator This add-on creates a greeble object based on se...