Introduction to Python Programming

Kursmaterialet är på engelska, med detta innehåll:

Python Basics

This module explains how to get started using Python.

• Getting Familiar with the Terminal
• Running Python
• Running a Python File
• Literals
• Variables
• Constants and Deleting Variables
• Writing a Python Module
• print() Function
• Collecting User Input
• Reading from and Writing to Files

Functions and Modules

You have seen some of Python’s built-in functions. In this lesson, you will learn to write your own.

• Defining Functions
• Variable Scope
• Global Variables
• Function Parameters
• Returning Values
• Returning Values
• Importing Modules
• Methods vs. Functions

Math

Python includes some built-in math functions and some additional built-in libraries that provide extended math (and related) functionality. In this lesson, we’ll cover the built-in functions and the math and random libraries.

• Arithmetic Operators
• Assignment Operators
• Precedence of Operations
• Built-in Math Functions
• The math Module
• The random Module

Python Strings

This module explains how to work with Python Strings.

• Quotation Marks and Special Characters
• String Indexing
• Slicing Strings
• Concatenation and Repetition
• Combining Concatenation and Repetition
• Python Strings are Immutable
• Common String Methods
• String Formatting
• Formatted String Literals (f-strings) (introduced in Python 3.6)
• Built-in String Functions

Iterables: Sequences, Dictionaries, and Sets

Iterables are objects that can return their members one at a time. The iterables we will cover in this lesson are lists, tuples, ranges, dictionaries, and sets.

• Definitions
• Sequences
• Lists
• Sequences and Random
• Tuples
• Ranges
• Converting Sequences to Lists
• Indexing
• Slicing
• min(), max(), and sum()
• Converting between Sequences and Strings
• Unpacking Sequences
• Dictionaries
• The len() Function
• Sets
• *args and **kwargs

Virtual Environments

A virtual environment provides a self-contained directory tree with its own Python installation and additional packages necessary for the project(s) being done in that environment. As such, scripts can be run in a virtual environment that have dependencies that are different from those in other development projects that may be running in the standard environment or in separate virtual environments.

• Packages with pip

Flow Control

This module explains how to change the flow by using conditional statements and loops.

• Conditional Statements
• Compound Conditions
• The is and is not Operators
• all() and any() and the Ternary Operator
• In Between
• Loops in Python
• break and continue
• Looping through Lines in a File
• The else Clause in Loops
• The enumerate() Function
• Generators
• List Comprehensions

Exception Handling

This module explains how to anticipate and handle exceptions gracefully.

• Exception Basics
• Generic Exceptions
• The else and finally Clauses
• Using Exceptions for Flow Control
• Raising Your Own Exceptions

Python Dates and Times

This module explains how to use Python’s built-in modules to work with dates and times.

• Understanding Time
• The time Module
• Time Structures
• Times as Strings
• Time and Formatted Strings
• Pausing Execution with time.sleep()
• The datetime Module
• datetime Objects
• timedelta Objects

File Processing

This module explains how to process files.

• Opening Files
• Writing to Files
• The os Module
• walk()
• The os.path Module
• A Better Way to Open Files