Nadia contributed to the liquidinstruments/moku-examples repository by developing and maintaining cross-language instrument control examples, focusing on Python and MATLAB scripting for data acquisition, streaming, and signal processing workflows. She implemented new features such as deep memory mode for oscilloscopes and enhanced API integration for Phasemeter and Waveform Generator instruments, improving automation and experiment reproducibility. Her work included robust error handling, documentation updates, and repository hygiene improvements, ensuring consistency and clarity across languages. By addressing API deprecations, refining plotting and logging, and aligning hardware configuration templates, Nadia delivered well-structured, maintainable code that streamlined onboarding and reduced support overhead for users.
September 2025 summary for liquidinstruments/moku-examples: Maintained API stability for streaming/logging, improved data visualization readability, and streamlined MATLAB integration through targeted fixes and documentation cleanup. These efforts reduced user friction, enhanced analysis workflows, and aligned MATLAB documentation with current conventions, delivering clear business value and improved developer experience.
September 2025 summary for liquidinstruments/moku-examples: Maintained API stability for streaming/logging, improved data visualization readability, and streamlined MATLAB integration through targeted fixes and documentation cleanup. These efforts reduced user friction, enhanced analysis workflows, and aligned MATLAB documentation with current conventions, delivering clear business value and improved developer experience.
In 2025-08, delivered targeted enhancements to the liquidinstruments/moku-examples repository focusing on documentation clarity, repository hygiene, and MATLAB API reliability to accelerate customer onboarding and reduce support overhead.
In 2025-08, delivered targeted enhancements to the liquidinstruments/moku-examples repository focusing on documentation clarity, repository hygiene, and MATLAB API reliability to accelerate customer onboarding and reduce support overhead.
March 2025 performance highlights for liquidinstruments/moku-examples: Focused on MCC-based onboarding and multi-instrument workflows, delivering key features, reliability improvements, and clear business value across MATLAB and Python examples.
March 2025 performance highlights for liquidinstruments/moku-examples: Focused on MCC-based onboarding and multi-instrument workflows, delivering key features, reliability improvements, and clear business value across MATLAB and Python examples.
February 2025 performance summary for liquidinstruments/moku-examples: Delivered a new Oscilloscope Deep Memory Mode Example Script and integrated it into the README to illustrate deep memory mode acquisition for the Moku Oscilloscope. Updated copyright year to 2025 across Python and MATLAB example files; licensing/doc documentation updated. No major functional bugs fixed this month; focus on feature completion and documentation quality. This work improves user onboarding for deep memory mode and ensures consistency across languages and licensing.
February 2025 performance summary for liquidinstruments/moku-examples: Delivered a new Oscilloscope Deep Memory Mode Example Script and integrated it into the README to illustrate deep memory mode acquisition for the Moku Oscilloscope. Updated copyright year to 2025 across Python and MATLAB example files; licensing/doc documentation updated. No major functional bugs fixed this month; focus on feature completion and documentation quality. This work improves user onboarding for deep memory mode and ensures consistency across languages and licensing.
January 2025 monthly summary for liquidinstruments/moku-examples. Delivered key API and hardware configuration enhancements, plus documentation improvements. Phasemeter and Waveform Generator Python API enhancements enable plotting, streaming, and triggered waveform generation, improving automation. Moku Cloud Compile template now supports all 16 controls and an external trigger input, expanding hardware configuration scenarios. Documentation fixes correct broken links across DSP, HDLCoder, and Python API docs, reducing onboarding friction. Overall, these changes improve developer productivity, reliability, and business readiness by enabling richer experiments and easier maintenance.
January 2025 monthly summary for liquidinstruments/moku-examples. Delivered key API and hardware configuration enhancements, plus documentation improvements. Phasemeter and Waveform Generator Python API enhancements enable plotting, streaming, and triggered waveform generation, improving automation. Moku Cloud Compile template now supports all 16 controls and an external trigger input, expanding hardware configuration scenarios. Documentation fixes correct broken links across DSP, HDLCoder, and Python API docs, reducing onboarding friction. Overall, these changes improve developer productivity, reliability, and business readiness by enabling richer experiments and easier maintenance.
Monthly summary for 2024-11 concentrated on delivering cross-language Time Frequency Analyzer (TFA) examples and documentation in the moku-examples repository. Implemented Python and MATLAB usage examples for TFA, with updated READMEs that cover basic usage, configuration, statistics retrieval, and plotting guidance. This work enables users to configure TFA, retrieve statistics, plot histograms, and understand TFA usage across languages, improving onboarding and reducing support needs.
Monthly summary for 2024-11 concentrated on delivering cross-language Time Frequency Analyzer (TFA) examples and documentation in the moku-examples repository. Implemented Python and MATLAB usage examples for TFA, with updated READMEs that cover basic usage, configuration, statistics retrieval, and plotting guidance. This work enables users to configure TFA, retrieve statistics, plot histograms, and understand TFA usage across languages, improving onboarding and reducing support needs.
Overview of all repositories you've contributed to across your timeline