Turn Python Notebooks to Web Apps | Pandas major update
Data Analysis with less Code Using Advanced Python Libraries, watchdog package which monitors for filesystem changes and Infiscal - open-source secret management platform
Mercury – Turn Python Notebooks to Web Apps
When I read this Reddit post sounded like Streamlit but it’s different in subtle ways. Using Mercury you can create web applications out of Jupyter Notebooks while Streamlit works with Python Scripts.
# Piotr and Aleksandra
Data Analysis with a Single Line of Code Using Advanced Python Libraries
If we want to analyse the data best starting point is creating relevant charts based on them. We usually do that using matplotlib or seaborn or some package similar to them with pandas. In this article, Thomas Kidu showed very good alternatives by writing minimal code sometimes hardly a single line of code.
# Thomas Kidu
Create a watchdog in Python to look for filesystem changes
Let’s say you want to monitor a log file like an error log if it gets modified you want to notify or you want to synchronize files in 2 directories or take files backup automatically then the watchdog package is a good choice.
# Chaitanya Tyagi
Infisical - Open-source, an end-to-end encrypted tool to manage secrets and configs
If you are a bit tired of maintaining .env files then there are some alternatives. One of the good options is Infisical. Infiscal is the open-source secret management platform that teams use to centralize their secrets like API keys, database credentials, and configurations. They have good Python SDK also.
Pandas 2.0: A Game-Changer for Data Scientists?
Pandas 2.0 was officially released in April. As usual, it is making huge waves in the Data Science community. This article covered the Top 5 features of the major update of one of the most loved packages of Python world.