Jekyll Reviews

Pandas Reviews

Jekyll mentions (182)

• Recovering My Blog with Jekyll and Proxmox

  Today I decided to try and update the Jekyll theme for this site, Chirpy. If you've watched the blog or gone to this blog's status page you probably noticed it was down for a few hours today. Needless to say, things didn't go as planned. It turns out that the last time I tried to update/recreate the blog site I chose the Chirpy Starter option instead of the Github Fork option, and in trying to update it the whole... - Source: dev.to / about 1 month ago

• On the road to ramen profitability 🍜 💸

  A basic marketing site built-on Jekyll and hosted via Cloudflare Pages. - Source: dev.to / about 2 months ago

• Creating excerpts in Astro

  This blog is running on Hugo. It had previously been running on Jekyll. Both these SSGs ship with the ability to create excerpts from your markdown content in 1 line or thereabouts. - Source: dev.to / 4 months ago

• JS Toolbox 2024: Essential Picks for Modern Developers Series Overview

  We also take a look into static site generators, covering Astro, Nuxt, Hugo, Gatsby, and Jekyll. We take a detailed look into their usability, performance, and community support. - Source: dev.to / 4 months ago

• Starlight vs. Docusaurus for building documentation

  In that case, what we need would be closer to a static site generator (like Gatsby, Hugo, Jekyll). But, static site generators aren't the best choice either because we would have to build a lot of documentation-focused functionality (like versioning, search, and code blocks) ourselves. - Source: dev.to / 5 months 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 / 15 days ago

• Awesome List

  Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 21 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