Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
DevRev
Trace
CX Genie
Intercom
productboard
Shorter Loop
Asana
Featurebase
A DevCRM connects the makers to the customer by delivering a system of record, social experience, and a suite of platform connections to create a single source of truth for all customer, product, and work-related data.
PandasPandas 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 DevRev. While we know about 231 links to Pandas, we've tracked only 2 mentions of DevRev. 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 / 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
We faced a similar situation at https://devrev.ai/ a few months back, but we decided to go fully client side rather than using server side solutions like Cube. We developed our own open-source library Meerkat (https://github.com/devrev/meerkat) which allows you to generate and execute SQL queries in the browser. - Source: Hacker News / over 2 years ago
Why donโt you check out DevRev? The idea here is to consolidate customer support (GPT chatbot, tickets, SLAs etc) with software development tools (issues, sprints, epics etc). Similar to how we experienced consolidation in infrastructure with AWS and what weโre seeing across other industries, we all know the world doesnโt need more tools. They also announced it's free for startups so perhaps youโd qualify for it... Source: over 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Trace - Visualized Node.js monitoring
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
CX Genie - Transform customer support with no-code AI-powered solutions
OpenCV - OpenCV is the world's biggest computer vision library
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.