Research
- Crime Categories
- Murder Circumstances
- Charges
- Murder Numbers by SHR
- Definitions of Murder
- Crime Literature
- Other Literature
- Seminars
- Journal Ranking
- Laws
- Changes in Law and Reporting in Michigan
- Citation Guides
- Datasets
Writing
Methods
- BLP
- Econometrics Models
- Econometrics Tests
- Econometrics Resources
- Event Study Plots
- Metrics Literature
- Machine Learning
Python-related
- Python Basic Commands
- Pandas Imports and Exports
- Pandas Basic Commands
- Plotting in Python
- Python web scraping sample page
- Two Sample t Test in Python
- Modeling in Python
R-related
- R Basics
- R Statistics Basics
- RStudio Basics
- R Graphics
- R Programming
- Accessing MySQL Databases from R
Latex-related
Stata-related
SQL
Github
Linux-related
Conda-related
AWS-related
Webscraping
Interview Prep
Other
Jupyter Lab Basics
Jupyter Lab is a tool for editing and running Python code. One advantage over Jupyter Notebook is the ability to incorporate extended functionalities such as Git. Others include the ability to open consoles and terminals. It also has its own file system.
After installation, the way to use Jupyter Lab is to navigate to the folder of interest in Anaconda Prompt and type in “jupyter lab.” If you use Google Chrome’s InCognito browser or Microsoft Edge’s InPrivate browser, you need to configure it to open it in the specific type of browser that you use.