Kursusindhold

Python Advanced Concepts

1. Mastering Python Modules and Imports

Python Project Structure: Organizing Code for Scalability Understanding Python Modules Importing Modules in Python: Best Practices for Code Reusability Exploring Python Libraries: Built-in and Third-Party Solutions Python Standard Library: Essential Modules for Everyday Tasks Managing Python Packages

2. Mastering Error Handling in Python

Fundamentals of Error Handling in Python: Preventing Code Crashes Raising Exceptions in Python: Triggering and Managing Errors Executing Code After Exceptions: Handling Cleanup Operations Using Assertions in Python: Debugging and Ensuring Code Integrity Best Practices for Exception Handling

3. Mastering File Handling in Python

Introduction to File Handling in Python Reading and Writing Files: Handling Text and Data Efficiently Advanced File Operations: Modifying and Managing File Content Working with File Paths in Python Using Context Managers for File Handling in Python Creating Custom Context Managers Handling Binary Files in Python

4. Mastering Pytest Framework

Introduction to Testing in Python Pytest Framework: Setting Up and Running Automated Tests Using the Assert Statement in Pytest: Validating Test Conditions Test Parametrization in Pytest: Running Tests with Multiple Inputs

5. Mastering Unittest Framework

Introduction to Unittest in Python: Writing Structured Unit Tests Using Assert Methods in Unittest: Validating Test Results SetUp and TearDown in Unittest: Managing Test Environments Mocking Techniques in Unittest: Simulating Dependencies Advanced Mocking in Unittest

6. Mastering Iterators and Generators in Python

Python Iterables: Understanding Sequences and Data Structures Understanding Iterators in Python Lazy Evaluation in Python: Optimizing Memory and Performance Introduction to Generators: Yielding Values for Efficient Iteration Practical Applications of Generators: Real-World Use Cases

Reading and Writing Files: Handling Text and Data Efficiently

Reading from a File

To start reading a file, you first need to open it in the appropriate mode. Here's how you can open and read from a file:

file = open("greetings.txt", "r")
print(file.read()) # Output:
# Hello, world!
# Salut!
# Hola!
file.close()

Reading Specific Characters

You can also read a specific number of characters by passing a numeric argument to the read method:

file = open("greetings.txt", "r")
print(file.read(10))  # Output: Hello, wor
file.close()

Reading Line by Line

To read a file line by line, you can use a loop along with the readline() or readlines() methods. The readline() method returns a string for each line, while readlines() returns a list of all lines:

file = open("greetings.txt", "r") # ['Hello, world!\n', 'Salut!\n']
print(file.readline())  # Output: Hello, world!
print(file.readline())  # Output: Salut!
file.close()

For more efficient line-by-line reading without loading the entire file into memory, use a for loop with readlines():

file = open("greetings.txt", "r")
for line in file.readlines():
    print(line, end="")  # The `end=""` argument prevents adding extra line breaks
# Output:
# Hello, world!
# Salut!
# Hola!
file.close()

Writing to a File

To write data to a file, you should open it in write mode ('w'). Only strings can be passed to the write() method.

file = open("greetings.txt", "w")
file.write("Bonjour!")
file.close()

Note

The writing mode overwrites the existing file content.

In this case, any existing data in "greetings.txt" will be replaced with "Bonjour!"

Var alt klart?

Tak for dine kommentarer!

Sektion 3. Kapitel 2

Spørg AI

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat