- What is advanced Python topics?
Here are some advanced Python programming topics to explore:
- Object-Oriented Programming (OOP)
- Functional Programming
- Error Handling
- Decorators
- Parallel Processing
- Generators
- Asynchronous Programming
- Debugging Best Practices1.
Additionally, you may want to master 30 advanced topics such as performance optimization, metaclasses, context managers, and more2. These topics will help you deepen your understanding and skills in Python programming.
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Python offers a wide range of advanced features and libraries that can be leveraged to solve complex problems efficiently. Below are some advanced Python code examples that demonstrate practical use cases and concepts.
1. Speed Test Using Python
This script measures your internet speed by checking download and upload speeds using the speedtest library.
# pip install speedtest-cliimport speedtestspeed_test = speedtest.Speedtest()print("Best Server:", speed_test.get_best_server())print("Download Speed:", speed_test.download() / 1_000_000, "Mbps")print("Upload Speed:", speed_test.upload() / 1_000_000, "Mbps")Cóipeáilte!✕Cóipeáil2. Fetch Song Lyrics Using an API
This example fetches song lyrics using the lyricsgenius library and an API key.
# pip install lyricsgeniusimport lyricsgeniusapi_key = "your_api_key_here"genius = lyricsgenius.Genius(api_key)artist = genius.search_artist("Taylor Swift", max_songs=3, sort="title")song = artist.song("Love Story")print(song.lyrics)Cóipeáilte!✕Cóipeáil3. Convert Hexadecimal to RGB
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