jtkiley
Assistant Professor. I study firm social judgments and impression management, and I often use content analysis methods.
Clemson UniversityClemson, SC
jtkiley's Stars
microsoft/vscode
Visual Studio Code
atom/atom
:atom: The hackable text editor
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
typst/typst
A new markup-based typesetting system that is powerful and easy to learn.
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
zyedidia/micro
A modern and intuitive terminal-based text editor
spaceship-prompt/spaceship-prompt
:rocket::star: Minimalistic, powerful and extremely customizable Zsh prompt
apache/arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
jupyterlab/jupyterlab
JupyterLab computational environment.
jaakkopasanen/AutoEq
Automatic headphone equalization from frequency responses
jupyter/notebook
Jupyter Interactive Notebook
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
sloria/TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
apple/tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
pydata/pandas-datareader
Extract data from a wide range of Internet sources into a pandas DataFrame.
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
tuxu/nbviewer-app
A Jupyter notebook viewer for macOS
fnielsen/afinn
AFINN sentiment analysis in Python
mkrapp/cookiecutter-reproducible-science
boilerplate for reproducible and transparent science
wharton/wrds
Read WRDS datasets remotely (from wrds-cloud) into a Pandas dataframe. For any issues with this package, please contact wrds-support@wharton.upenn.edu.
trallard/ReproduciblePython
Workshop materials for PyCon 2018 workshop on reproducible analysis in Python
michadenheijer/pynytimes
Use all the New York Times APIs in Python!
jtkiley/carma_python
CARMA Short Course: Introduction to Python for Research
STATCowboy/SnakeCharmer-Intro
Code Like a Snake Charmer - Intro to Python!