Bibliografía

Principal

Cormen et al. (2022) Kalb (2022) Kubica (2022) Lott y Phillips (2021) Lott (2022) Mertz (2015) Miller, Ranum, y Yasinovskyy (2023) Sedgewick y Wayne (2011) Sedgewick, Wayne, y Dondero (2015) Sweigart (2020) Tuckfield (2021)

Cormen, Thomas H., Charles E. Leiserson, Ronald L. Rivest, y Clifford Stein. 2022. Introduction to Algorithms. 4th ed. MIT.

Kalb, Irv. 2022. Object-Oriented Python. No Starch Press.

Kubica, Jacek. 2022. Data Structures the Fun Way. 1st ed. No Starch Press.

Lott, Steven F. 2022. Functional Python Programming. 3rd ed. Packt Publishing.

Lott, Steven F., y Dusty Phillips. 2021. Python Object-Oriented Programming. 4th ed. Packt Publishing.

Mertz, David. 2015. Functional Programming in Python. O’Reilly Media.

Miller, Bradley, David Ranum, y Jan Yasinovskyy. 2023. Problem Solving with Algorithms and Data Structures Using Python. 3rd ed. Franklin, Beedle & Associates.

Sedgewick, Robert, y Kevin Wayne. 2011. Algorithms. 4th ed. Addison-Wesley Professional.

Sedgewick, Robert, Kevin Wayne, y Robert Dondero. 2015. Introduction to Programming in Python. Addison-Wesley Professional.

Sweigart, Al. 2020. Beyond the Basic Stuff with Python. No Starch Press. https://inventwithpython.com/beyond/.

Tuckfield, Bradford. 2021. Dive Into Algorithms. No Starch Press.

Complementaria

Downey (2024) Hetland (2014) Mailund (2023) Sweigart (2021) Vaughan (2019) Wickham (2019)

Downey, Allen B. 2024. Think Python. 3.ª ed. O’Reilly Media. https://allendowney.github.io/ThinkPython/.

Hetland, Magnus Lie. 2014. Python Algorithms. 2.ª ed. Apress.

Mailund, Thomas. 2023. Functional Programming in R 4. 2.ª ed. Apress.

Sweigart, Al. 2021. The Big Book of Small Python Projects. No Starch Press. https://inventwithpython.com/bigbookpython/.

Vaughan, Lee. 2019. Impractical Python Projects. No Starch Press.

Wickham, Hadley. 2019. Advanced R. 2.ª ed. Chapman & Hall/CRC. https://adv-r.hadley.nz/.