References
[1]
Klosterman, S.
(2021). Data
science projects with python: A case study approach to gaining valuable
insights from real data with machine learning. Packt
Publishing, Limited.
[2]
McKinney, W.
(2017). Python for data analysis: Data wrangling with pandas, NumPy,
and IPython. O’Reilly Media.
[3]
Shaw, Z. A.
(2017). Learn
python 3 the hard way. Addison Wesley.
[4]
Sweigart, A.
(2020). Automate the
boring stuff with python, 2nd edition practical programming for total
beginners: Practical programming for total beginners. No Starch
Press.
[5]
Prabhakaran, S.
(2018). 101
NumPy exercises for data analysis (python).
[6]
Grolemund, G.
(2014). Hands-on programming with r: Write your own functions and
simulations. O’Reilly Media.
[7]
Prabhakaran, S.
(2018). 101
pandas exercises for data analysis.
[8]
Beuzen, T. and
Timbers, T. (2022). Python
packages. Taylor & Francis Group.
[9]
Wickham, H. and
Grolemund, G. (2017). R for data science: Import, tidy,
transform, visualize, and model data. O’Reilly Media.
[10]
Youens-Clark, K.
(2020). Tiny python
projects. Manning Publications.