Master in Informatics and Computing Engineering
Programming Fundamentals
Instance: 2018/2019
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• The Python Tutorial — "official" tutorial introduces the reader informally to the basic concepts and features of the Python language and system.
• The Python Language Reference — "official" reference manual describes the syntax and “core semantics” of the language. It is terse, but attempts to be exact and complete.
• The Python Standard Library — "official"/technical explanation of what a particular function/operator does, examples of correct syntax, what the various libraries are, etc.

• Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyers, How to Think Like a Computer Scientist Learning with Python 3 (RLE), 2012, PDF 2018 HTML
• Brad Miller and David Ranum, Learning with Python: Interactive Edition. Based on material by Jeffrey Elkner, Allen B. Downey, and Chris Meyers HTML
• Steven F. Lott, Building Skills in Python - A Programmer's Introduction to Python, FreeTechBooks, 2010 HTML
• Allen Downey, Think Python — How to Think Like a Computer Scientist, 2nd Edition, Version 2.2.23, Green Tea Press, 2015 HTML PDF code
• David Mertz, Functional Programming in Python, O’Reilly Media, 2015 PDF
• Guttag, John. Introduction to Computation and Programming Using Python: With Application to Understanding Data, Second Edition. MIT Press, 2016. ISBN: 9780262529624
• João Pavão Martins, Programação em Python - Introdução à Programação Utilizando Múltiplos Paradigmas, Instituto Superior Técnico, 2ª edição, 2017, ISBN: 9789898481474
• Ernesto Costa, Introdução à Programação e Resolução de Problemas com Python, FCA, 2015, ISBN: 9789727228164

• Python Tutor — interactive tutorial sequence of exercises
• Reserved Keywords in Python — don't use these as variable names
• PEP 8: Style Guide for Python Code — learn what is good and bad style in Python
• Dive Into Python — a survey of Python syntax, datatypes, etc.
• Stack Overflow — a large Q&A forum for programming concepts (not just Python)
• Python Course — Python for beginners and intermediate learners with lots of examples and exercises
• LearnPython.org — interactive Python tutorial
• CheckIO — learn Python by exploring a game world
• Invent with Python — develop your Python skills by making games or hacking ciphers
• PythonBooks — Directory of available books

• FPROplay — selected exercises
• w3schools — very simple ones
• Practice Python — not so simple
• w3resource — extensive and diverse
• geeksforgeeks — not only for Python
• Google search — search for more

• Spyder (Scientific Python Development Environment) — an IDE useful for writing, running, and debugging code
• Python Tutor — an excellent way to actually visualize how the interpreter actually reads and executes your code
• Matplotlib — for 2D and 3D plotting in the consoles
• numpy — for view and editing two or three dimensional arrays in the Variable Explorer
• SciPy — signal and image processing
• Debugging in Python — steps you can take to try to debug your program
• Anaconda Python — Python Scientific Distribution (package manager, environment manager and Python distribution with a collection of 1,000+ open source packages)
• Anaconda install — Anaconda install
• Visual Studio Code — a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux
• Python Tools for Visual Studio — Visual Studio plug-in enabling Python programming

• MIT 6.0001 @ OCW — Introduction to Computer Science and Programming in Python
• FPROtest — a tool to test and grade FPRO submissions of RE & PE Evaluations
• Kahoot — a game-based learning and trivia platform used in classrooms
• Codeboard.io — a web-based IDE to teach programming in the classroom. Easily create and share exercises with students. Analyze and inspect students' submissions with a single click (ETH, B. Meyer)
• HackerRank — HackerRank team is on a mission to match every developer in the world to the right job by providing a technical recruiting platform that assesses developers based on actual coding skills
• Coding Bat — problems you can solve within an online interpreter
• Flask — Web development
• Python Challenge — a series of puzzles you can try to test your Python abilities
• Project Euler — additional programming challenges you can try once your Python knowledge becomes stronger; problems are sorted by increasing difficulty
• Codewars — improve your skills by training on real code challenges
• Biopython — a set of freely available tools for biological computation

— FPRO, 2018/19