Corso di formazione tecnico-pratico che insegna a progettare, scrivere, eseguire debug e a realizzare programmi in Python, il linguaggio di programmazione più utilizzato per lo sviluppo web back-end, l’analisi dei dati, l’intelligenza artificiale e l’informatica scientifica.

Alla fine del corso, sarai in grado di:

• sviluppare una conoscenza pratica di come funzionano i computer e di come vengono eseguiti i programmi per computer
• sviluppare il pensiero critico e le abilità di risoluzione dei problemi usando un approccio algoritmico
• conoscere il ruolo del programmatore nel processo di sviluppo del software
• Tradurre problemi del mondo reale in problemi risolvibili al computer

Parte 1 (PE1)

• Introduction to Python and Computer Programming
• Python as a modern,universal and growing programming language
• Python versions and language development
• Brief review of tools and environments needed to start programming in Phyton
• Data Types, Variables, Basic Input-Output, Basic Operators
• How to write and run the very first Python program
• Pythin literals
• Python operators and expressions
• Variables – naming and using
• Basic input/output operations in Python
• Boolean Values, Conditional Execution, Loops, Lists and List Procession, Logic and Bitwise Operations
• Boolean data type
• Relational operators in Python
• Decision making in Python: if, if-else, if-elif-else
• Repeating code execution using loops: while and for
• Logic and bitwise operations in Python
• Lists in Python: constructing, indexing, slicing and content manipulation;
• How to sort a list using a bubble-sort algorithm
• Multidimensional lists and theri applications
• Funciont, Tuples, Dictionaries and Data Processing
• Code structuring and the concept of functions
• Functions invocation and returning a result from a function
• Name scopes and variable shadowing
• Tuples – purpose, constructing and using
• Dicionaries – purpose, constructing and using

Part 2 (PE2)

• Modules, Packages and PIP
• What is a module and why do we need it?
• Importing and using modules
• Review of some useful Python modules
• What is a package and how does it differ from a module?
• Costructing and using packages
• PIP – the Swiss army knife for package maintenance
• Exceptions, Strings, Strings and List Methods
• Characters, strings and codinf standards
• Strings vs- lists – similarities and differences
• List methods
• String methods
• Python’s way of handling runtime errors
• Controlling the flow of errors using try and except
• Hierarchy of exceptions
• Obiect Oriented Programming in Python
• Basic concepts of object approach – motivations and profts
• Classes, objects, properties and methods
• Inheritance and polymorphism
• Exception as an object
• Miscellaneous
• Generators, iterators and closures
• Working with filesystem, directory trees and files
• Selected Python Standard Library modules (os, date, datetime, calendar)