liquidinstruments/moku-examples
Jan 2025 – Dec 2025
3 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
API IntegrationData AnalysisEmbedded SystemsPythonScientific ComputingSignal Processing
jasonliquidinst
PROFILE
Jasonliquidinst
Contributed to the liquidinstruments/moku-examples repository by developing and refining Jupyter notebooks that demonstrate advanced measurement and control capabilities for Moku instruments. Delivered end-to-end tutorials and reusable templates covering topics such as Allan deviation measurement, digital phase-locked loop implementation, PID control, frequency response analysis, and second-order correlation function (g(2)) analysis. Leveraged Python, Jupyter Notebook, and instrument APIs to automate data acquisition, enable real-time and post-processing workflows, and enhance data visualization. Improved onboarding and reproducibility through notebook reorganization and refactoring, while also addressing maintenance by clarifying file structures. The work accelerated experimentation and supported both customer-facing and internal use cases.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
4
Lines of code
2,063
Activity Months3
Your Network
27 peopleSame Organization
@liquidinstruments.com12
Shared Repositories
15
Ben NizetteMember
Brian NeffMember
Dylan PerezMember
EC2 Default UserMember
EC2 Default UserMember
Heyang LongMember
Indira Shinn ReesMember
jobinMember
lauralbecerraMember
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for liquidinstruments/moku-examples focusing on the g(2) feature delivery for Moku instruments. The work delivered a complete second-order correlation function (g(2)) capability across Moku Time & Frequency Analyzer and Moku:Pro, along with the tooling to analyze g(2) data in real-time and post-processing contexts. A Jupyter notebook was added with improved data handling, logging, and visualization to facilitate rapid experimentation and robust analysis. The changes are supported by two commits that implemented the feature and added corresponding data/files.
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for liquidinstruments/moku-examples focusing on the g(2) feature delivery for Moku instruments. The work delivered a complete second-order correlation function (g(2)) capability across Moku Time & Frequency Analyzer and Moku:Pro, along with the tooling to analyze g(2) data in real-time and post-processing contexts. A Jupyter notebook was added with improved data handling, logging, and visualization to facilitate rapid experimentation and robust analysis. The changes are supported by two commits that implemented the feature and added corresponding data/files.
December 2025
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 — Liquid Instruments (moku-examples): Delivered end-to-end tutorials for Moku devices, improved notebook organization, and reinforced reproducibility. Notable work includes two new notebooks: a Moku:Pro PID Controller and Frequency Response Analyzer Transfer Function Tutorial, and a Moku Logic Analyzer Distance Measurement with UART decoding and a Tkinter GUI. A major housekeeping effort renamed and reorganized notebooks for clarity with no functional changes. Impact: accelerates onboarding, enables faster experiments, and reduces maintenance overhead. Skills demonstrated: Python notebooks, instrument automation, UART decoding, Tkinter GUI, data visualization, and notebook refactoring.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 — Liquid Instruments (moku-examples): Delivered end-to-end tutorials for Moku devices, improved notebook organization, and reinforced reproducibility. Notable work includes two new notebooks: a Moku:Pro PID Controller and Frequency Response Analyzer Transfer Function Tutorial, and a Moku Logic Analyzer Distance Measurement with UART decoding and a Tkinter GUI. A major housekeeping effort renamed and reorganized notebooks for clarity with no functional changes. Impact: accelerates onboarding, enables faster experiments, and reduces maintenance overhead. Skills demonstrated: Python notebooks, instrument automation, UART decoding, Tkinter GUI, data visualization, and notebook refactoring.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for liquidinstruments/moku-examples: Delivered three Jupyter notebooks that demonstrate core Moku capabilities and provide ready-to-run demos for onboarding and customer engagements. The notebooks cover: (1) measuring Allan deviation using Time & Frequency Analyzer, (2) a digital phase-locked loop implementation with the Phasemeter, and (3) a basic Hello Moku connection/info retrieval example. All assets were added via a single commit, enabling quick replication and deployment in demos and tutorials. This work enhances hands-on experience, accelerates demonstrations, and contributes reusable templates for customer-facing material and internal testing.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for liquidinstruments/moku-examples: Delivered three Jupyter notebooks that demonstrate core Moku capabilities and provide ready-to-run demos for onboarding and customer engagements. The notebooks cover: (1) measuring Allan deviation using Time & Frequency Analyzer, (2) a digital phase-locked loop implementation with the Phasemeter, and (3) a basic Hello Moku connection/info retrieval example. All assets were added via a single commit, enabling quick replication and deployment in demos and tutorials. This work enhances hands-on experience, accelerates demonstrations, and contributes reusable templates for customer-facing material and internal testing.
January 2025
Activity
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Quality Metrics
Correctness92.6%
Maintainability92.6%
Architecture92.6%
Performance92.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API IntegrationControl SystemsData AcquisitionData AnalysisEmbedded SystemsFile ManagementGUI DevelopmentInstrument ControlJupyterJupyter NotebookPythonRefactoringScientific ComputingSignal ProcessingUART Communication
Repositories Contributed To
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