This is an introductory course to computer programming in Python and to the study of algorithms and data structures. It is addressed to students without a Bachelor's degree in Computer Science or Computer Engineering. The objective is to smoothly introduce students to the concepts and tools of programming, as well as those needed to solve data processing and analysis problems efficiently. The course consists of lectures and laboratory sessions.

The course is in the 1st SEMESTER, so classes will start in September and finish in January. There will be a written/lab exam first; if you succeed, you are admitted to the second part of the exam, the oral.

• Salvatore Trani
  • ISTI-CNR and Università di Pisa
  • salvatore [dot] trani [at] isti [dot] cnr [dot] it

Course material on **Teams: **

• [P] Pieter Spronck. The Coder’s Apprentice: Learning Programming with Python 3, 2017. Book and supplement material.

• Python programming: Anaconda distribution of Python 3. Computers at lab rooms include it both on Linux and Windows OS.
• Unix Shell Either use Linux on lab machines, or install CygWin (on your PC).
• Python online including visualization of memory state PythonTutor.
• Jupyter Notebooks shown during theory classes GitHub

• Programming for Data Science (see the course page)

• See Exams of (Programming for Data Science)