How to Use Python’s logging Module
Learn the basics of Python logging by configuring log output, choosing appropriate log levels, handling errors, and recording exception tracebacks.
Regular Expressions in Python: Extracting and Validating Email Addresses
Practice Python regex techniques for finding email addresses in logs, validating email-like input, and avoiding common matching mistakes.
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Working with Dates and Times in Python
Learn to create Python dates and date-time values, calculate due dates with timedelta, format readable output, and build a simple appointment schedule.
Python Modules and Imports: Organize Reusable Code
Learn how Python modules and imports help you split programs into reusable files with beginner-friendly validation and utility examples.
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Python Virtual Environments: Install Packages with pip
Set up an isolated Python project with venv and pip. Install Flask, record dependencies in requirements.txt, and run a simple local web application.
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Reading and Writing Text Files in Python
Learn Python file handling by reading application logs, counting message types, and writing summary or filtered reports to new text files.
Python Decorators: Add Logging Around Functions
Build Python decorators that log function calls, results, and failures while keeping the original business logic unchanged.
How to Read CSV Files in Python and Calculate Inventory Value
Build a beginner-friendly Python program that reads product data from a CSV file, calculates inventory values, tracks totals, and identifies low-stock items.
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How to Read and Write JSON Files in Python
Learn to save Python dictionaries as JSON settings files, load them back into your program, and safely use default settings when files are missing or invalid.
Python Sets: Remove Duplicate Email Addresses
Use Python sets to remove duplicate email addresses, combine signup data, and display unique values in a predictable order.