GTK Reviews

Pandas Reviews

GTK mentions (6)

• What GNOME needs to progress faster? (More contributors, money, better docs etc.)

  Wha? An example of a barebones GTK JavaScript app is right there on the front page. One click on the bindings link, will send you to the official GNOME-hosted GitLab repo for gjs, which in-turn, has links to official API documentation. Source: over 1 year ago

• GTK 4 & JavaScript - how to start?

  I think what is lacking is a kind of introduction similar to what you have written in your post now. Myself, I am totally new to GTK. I come as a user of Gnome. All I knew until today was that to develop applications for Gnome, preferably I should use something called GTK. And I heard so much about the recent version that came out - GTK 4. So I started to look for a Getting Started tutorial for GTK 4, to build... Source: about 2 years ago

• GTK 4 & JavaScript - how to start?

  BTW, I think the GTK team should really step up their game in terms of how to encourage new people into their ecosystem. Seeing that windows screenshot in the official tutorial makes me think I'm dealing with some old technology. Also, the official gtk.org has two separate tutorials that show very similar applications being built. Source: about 2 years ago

• CTA: We need Web Developers to Contribute to GNOME!

  Faces of GNOME Faces of GNOME is an initiative to create something similar to People of Mozilla / Mozillians which is a directory of active, current or past GNOME Contributors. Faces of GNOME (Current Demo HERE) aims to give a space for every GNOME Contributor, GNOME Foundation Member and more. It is being designed to showcase the list of current Maintainers, People that spoke at GNOME Conferences/Events, GNOME... Source: over 2 years ago

• Software Engineering student looking to get started developing apps on the pinephone

  My advice is to basically learn how to write GTK apps using Python. Source: over 2 years ago

Pandas mentions (201)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 13 days ago

• Awesome List

  Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 18 days ago

• The ultimate guide to creating a secure Python package

  It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago

• AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions

  Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago

• Pandas reset_index(): How To Reset Indexes in Pandas

  In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago