Python Multithreading vs Multiprocessing Explained
comparing Python multithreading and multiprocessing: threads share memory with GIL limits ideal for I/O; processes use separate memory, bypass GIL, suited for CPU-bound parallelism.
Python Programming
Working with JSON APIs in Python
Developer at laptop using Python to fetch and parse JSON APIs: Python logo, JSON objects/arrays, code snippets, network arrows, headers, keys/values, testing, debug, response panel
Automating Excel Tasks Using openpyxl
Python openpyxl automates Excel tasks: a code window beside a spreadsheet with highlighted cells, formulas and charts, gear symbolic of automated data processing and reports and BI
How to Use SQLite Databases with Python
Illustration of Python3 interacting with SQLite3: code snippets, database icon, tables and queries, arrows showing connection cursor ops, executing SQL and retrieving query results.
Python Tips for Writing Clean and Readable Code
Python tips: clear names, small functions, consistent style, docstrings, type hints, concise comments, practical error handling, unit tests, and refactoring to improve readability.
How to Measure Script Execution Time in Python
Diagram showing methods to measure Python script execution time: time module, timeit, perf_counter, profiling tools and best practices for accurate timing and performance analysis.
Understanding Python Decorators
Diagram of Python decorators: a base function wrapped by stacked wrappers, arrows showing execution order, labels for pre- and post-call behavior, with brief code snippets overview.
Python Logging Basics for Developers
Python logging basics: logger hierarchy, log levels (DEBUG→CRITICAL), handlers, formatters, configuration examples, best practices for structured logs, error tracing, and debugging.
Scheduling Python Tasks with schedule Library
Developer scheduling Python tasks with schedule library: terminal showing code, clock and calendar icons, arrows for intervals, logs and alerts marking automated runs and success.
How to Create and Manage Virtual Environments
Diagram showing creating and managing virtual environments: developer at terminal venv and virtualenv icons, package isolation, dependency files, Python versions activation arrows.
Automating Backups with Python
Python script automating backups: laptop running code, cloud storage sync, scheduled clock, folders copying, encryption padlock, progress bar plus notifications: successful backup.
How to Use the requests Library for APIs
Illustration showing steps to use Py requests library for APIs: install, import, send GET/POST with headers and JSON, handle responses and errors, then parse and use returned data.