Data Processing in R and Python 2020/2021

General Information

• LECTURES: Anna Cena, Mondays 16:45 (MS Teams)
• LABORATORY: Michał Denkiewicz, Elżbieta Sienkiewicz, Mondays 18:30 (MS Teams)
• Class Schedule and Homework Assignments Schedule

Class Materials

Github repo [https://github.com/cena-teaching/dprpy2021]

MS Teams – DPRPy 2020/2021 Team

Software

• R (>= 3.5.0)
• RStudio Desktop (Open Source Edition, >= 1.1)
• Python 3.7 – preferred distribution Anaconda (includes all packages we will need)
• Rtools (Windows), xcode (OS X), gcc (Linux)

Bibliography

1. H. Wickham, Advanced R, Chapman&Hall/CRC
2. Lutz M., Learning Python, O’Reilly Media, 2013
3. Wickham H., Grolemund G., R for Data Science, O’Reilly, 2017
4. W. McKinney, Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython, O’Reilly Media, 2012
5. M. Gągolewski, M. Bartoszuk, A. Cena, Przetwarzanie i analiza danych w języku Python, PWN, Warszawa, 2016 – in polish
6. M. Gągolewski, Programowanie w języku R. Analiza danych, obliczenia, symulacje, Wydawnictwo Naukowe PWN, 2016 (wyd. II) – in polish
7. J.M. Chambers, Programming with Data, Springer, 1998
8. J.M. Chambers, Software for Data Analysis. Programming with R, Springer, 2008