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ZPEL

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KEP/ZPEL

Fundamentals of Programming for El. Eng.

Guarantors: Ing. Petr Kropík, Ph.D.

Course literature KEP/ZPEL -IS/STAG

Basic
Lutz, Mark, Learning Python : powerful object-oriented programming 2025
Liu, Yuxi, Python machine learning by example : unlock machine learning best practices with real-world use cases 2024
Rumpe Bernhard, Software Engineering and Formal Methods , Springer Berlin Heidelberg 2016
Extending
Gupta, Pramod; Bagchi, Anupam, Essentials of Python for artificial intelligence and machine learning 2024
Bartz, Eva; Bartz-Beielstein, Thomas, Online machine learning : a practical guide with examples in Python 2024
Herlihy, Maurice; Shavit, Nir, The art of multiprocessor programming , Boston : Elsevier 2012
Recommended
Robbins, Philip, Python programming for beginners : the complete guide to mastering Python in 7 days with hands-on exercises?top secret coding tips to get an unfair advantage and land your dream job! 2023
Corke, Peter I., Robotics, vision and control : fundamental algorithms in Python 2023

Study Materials

Stroustrup, B.: Programming: Principles and Practice Using C++, 2nd Edition, 2014 (odkaz)
Stroustrup, B.: The C++ Programming Language, 4th Edition, 2013 (odkaz)
Scott Meyers: Effective Modern C++, 2014 (odkaz)
Scott Chacon: Pro Git (pdf, epub)

Links to tutorials and reference materials:

cppreference - language and standard library documentation
C++ Core Guidelines - recommendations how to write the code correctly, best practices
cppbestpractices - recommendations how to write code properly

Useful tools:

Compiler Explorer - online compiler
Quick C++ Benchmark - online code speed measurement tool
clang-tidy - online tool for detecting and correcting errors in code
Cppcheck - online static code analyzer

Videotutorials (external):

Online practice (external):

w3schools - cpp exercises

Last updated: 14.09.2025

Study materials

Documents are accessible only to registered users or students on the course.

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