This is a quick note on how to use pyenv, a tool for switching between different Python versions. List of Commands For Installing Python Display the list of installed Python versions: pyenv versions Show the list of available Python versions for installation: pyenv install --list Update pyenv: pyenv update Install a specific version of Python: pyenv install <VERSION> For Checking (or Setting) Python Version Check (or set) the Python version active in the current session:

In this article, we will extend our previously implemented TTL cache decorator with a toggle feature for enabling and disabling the cache. Overview of Cache Toggle FeatureHere are the specifications for the new cache toggle feature: Functions decorated with lru_cache will have an additional use_cache argument, allowing one to toggle the cache functionality. If use_cache is set to False, the function will execute without using the cache, but its result will still be stored in the cache.

OverviewContinuing from our last article, we’ll delve deeper into implementing a cache with Time-to-Live (TTL). Let’s quickly recap what we covered previously. Summary of Part 1 We learned how to equip functions with cache capabilities using lru_cache. We implemented the get_ttl_hash function, which updates return values at specified intervals. We were able to give functions TTL caching by: Enhancing them with the caching functionality of lru_cache. Adding a dummy argument.

OverviewIn this article, we’ll discuss how to implement a caching mechanism in Python that has a Time-To-Live (TTL). This cache can be useful in scenarios like: Functions that connect to the internet to fetch data, but the data remains constant over a period. (e.g., weather forecast data) Functions that are executed frequently but don’t require real-time data. Adding Caching to a FunctionFirst, let’s see how to add caching to a Python function.

Have you ever been running a time-consuming code in Jupyter Notebook, like training a machine learning model, only to realize later that it had stopped due to an unexpected error? In this article, I’ll introduce a method to automatically send notifications to platforms like Slack or Discord when such exceptions occur. Note This method also works with Google Colaboratory. Creating a Notification FunctionFirst, let’s prepare a function for sending notifications. If you’re using Slack or Discord, you can notify with the following functions:

In this article, I’ll introduce how to save the code execution history from Jupyter Notebook (JupyterLab) as a Python script. First, I’ll go over the commonly used %history magic command and then share a custom function I’ve written. Note This method also works with Google Colaboratory. 1. %history Magic Command By running the following command in a notebook cell, you can display the code execution history: %history Official Documentation Key Options: