Results for “dumpsys”

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script).

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.

Scale pandas and NumPy workflows to larger-than-memory datasets using parallel and distributed computing.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using the SimPy framework in Python.

Perform comprehensive forensic analysis of disk images using Autopsy to recover files, examine artifacts, and build investigation timelines.

Build reliable, fault-tolerant Python applications with DBOS durable workflows, steps, queues, and communication patterns.

Detects DNS tunneling by computing Shannon entropy of DNS query names, analyzing query length distributions, inspecting TXT record payloads, and identifying high subdomain cardinality using scapy for packet capture analysis.

Provides Python bindings to interact with the DNAnexus platform, enabling file uploads, job management, and API calls.

Dask parallel computing reference for Python. Covers Dask DataFrame (parallel Pandas), Dask Array (parallel NumPy), Dask Delayed for custom parallelism, Dask Bag, distributed clusters, dashboard monitoring, and scaling best practices.