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NumPy
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OpenCV
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htm.java
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Pandas
PolyworkPandas 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.
Based on our record, Pandas seems to be a lot more popular than Polywork. While we know about 231 links to Pandas, we've tracked only 5 mentions of Polywork. 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 / 3 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 / 3 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 / 3 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 / 3 months ago
Pandas url is the most widely used library for data manipulation. - Source: dev.to / 3 months ago
Recently, I have stumbled upon this page. It's Polywork's highlights page where career highlights are displayed in a timeline-style collection. Source: about 3 years ago
I am kind of in the same boat, would definitely like to learn more about your product. If you want to get your product reviewed - find people here on reddit, product hunt and polywork.com, talk to few people to understand what they think and especially what they ask questions about. Source: over 3 years ago
There's Polywork (https://polywork.com) that tries to replace linkedin. Gotta wait to see if it works out. - Source: Hacker News / about 4 years ago
How is this different from Polywork (https://polywork.com)? I feel like if this is for intros/hiring a simple community would've worked better. - Source: Hacker News / over 4 years ago
Https://polywork.com ... Not quite SaaS but visually amazing. Source: almost 5 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
LinkedIn - LinkedIn is a business-oriented social networking service, mainly used for professional networking.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Peerlist - Peerlist is a professional network for builders to show and tell
OpenCV - OpenCV is the world's biggest computer vision library
Monster.com - Monster.com is one of the largest employment websites and job search engine in the world.