Pandas VS Hackertab.dev
Compare Pandas VS Hackertab.dev and see what are their differences
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The Developerโs Homepage New trends are constantly ๐ appearing in the tech World, so staying updated has become a necessity to maintain oneโs competitive edge and to improve productivity.
This is why, We created โHackertabโ, a handy extension to help myself and other developers stay up to date with the latest tech happenings. Itโs fully customizable, for frontend, backend, full-stack, mobile, data scientistsโฆ bref, for all developers.
Our data providers are: - Github Trendings - Hackernews - DevTo - Stack-overflow Jobs - Confs.tech - Product hunt - Reddit
Source code: https://github.com/medyo/hackertab.dev The story behind this: https://www.mehdisakout.com/posts/hackertab-stay-updated-developer-trends-libraries-news-jobs/
Pandas Hackertab.devPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
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Based on our record, Pandas seems to be a lot more popular than Hackertab.dev. While we know about 231 links to Pandas, we've tracked only 7 mentions of Hackertab.dev. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / about 2 months ago
For early-career security practitioners (0-3 years). Start with Python literacy if you do not have it. The free Python Crash Course book and the pandas getting-started guide are enough to bootstrap. Then a hands-on applied course: GTK Cyber's Applied Data Science & AI for Cybersecurity and SANS SEC595 are both reasonable starting points. The goal at this stage is to be able to load a Zeek conn.log into a pandas... - Source: dev.to / about 2 months ago
Python and data engineering for security data. Pandas for ingesting Zeek, Sysmon, EDR, and SIEM exports. Timestamp normalization to UTC, join keys across heterogeneous sources, feature extraction from raw logs. Without this layer, the ML content downstream is theater. - Source: dev.to / 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pandas url is the most widely used library for data manipulation. - Source: dev.to / 2 months ago
๐ Try it here: https://hackertab.dev. - Source: dev.to / over 1 year ago
As a developer, it can be difficult to stay on top of everything happening in the field. Hackertab makes it easy by allowing you to customise your default tab page to include news, tools and events from top sources such as GitHub Trending, Hacker News, DevTo, Medium, and Product Hunt. - Source: dev.to / over 3 years ago
I know the feeling - I was searching for a way to keep up with the latest development trends for my favorite tech stack (Android, TypeScript, Ruby) without having to switch between multiple websites. But I couldn't find a solution that worked for me, so I created one called Hackertab. Every day, I auto gather content from the best sources out there (like Dev.to, Hacker News, and this subreddit!) and organize it by... Source: over 3 years ago
Currently im using Hackertab extension it has all the tech news in one place, you can customize it on your interests. And it saves you a lot of time. Source: over 3 years ago
Hackernews, Devto, Hashnode, Medium, Github trending, also this subreddit, Lobsters, FreecodeCamp...and the list is long, for that reason I made Hackertab to aggregate all the interesting content and organize it by programming language or topic. Source: over 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Feedly - The content you need to accelerate your research, marketing, and sales.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DEV.to - Where software engineers connect, build their resumes, and grow.
OpenCV - OpenCV is the world's biggest computer vision library
daily.dev - Programming news ranked by developers for developers ๐ฉโ๐ป