Technologies & Tools

Arduino makes it easy to create interactive hardware for experiments. Its simple programming interface and vast ecosystem make it ideal for building custom experimental equipment, triggering systems, and data acquisition devices.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data Acquisition

Tests make scientific assumptions and expected behavior explicit, and help catch regressions as analysis code develops.

Covered in our robust software and AI-assisted development topics; individual offerings are not yet attributed to this practice.

0 past offerings · 0 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentMachine Learning(M)EEG AnalysisNeural Spike AnalysisRobust and Reusable Software

CSV is the universal format for tabular data. It's human-readable, works with every data analysis tool, and is perfect for sharing datasets. Its simplicity makes it ideal for reproducible research and long-term data storage.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data AcquisitionArrays and Numerical ComputingDataframes and Statistics

Explicit validation turns data assumptions into checks that can catch missing values, inconsistent metadata, and unexpected inputs before analysis.

Covered through data organization and robust software topics; individual offerings are not yet attributed to this practice.

0 past offerings · 0 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Programming and Data AcquisitionAI-Assisted Software DevelopmentArrays and Numerical ComputingCalcium Imaging AnalysisDataframes and StatisticsLocal Field Potential (LFP) AnalysisMachine Learning(M)EEG AnalysisNeural Spike AnalysisRobust and Reusable Software

Git is the industry standard for version control, enabling researchers to track changes, collaborate effectively, and maintain a complete history of their work. It's essential for reproducible research and collaboration.

Recorded in topic offerings; consult the dated event links for availability.

19 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingAutomating Research WorkflowsDeveloper EnvironmentRobust and Reusable SoftwareWebsite Development

HDF5 is the standard format for storing large, complex scientific datasets with rich metadata. Its hierarchical structure and efficient compression make it ideal for neuroscience data like multi-channel recordings and imaging time series.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Arrays and Numerical ComputingCalcium Imaging AnalysisDataframes and Statistics(M)EEG Analysis

JSON is the standard for structured data exchange on the web and in APIs. Its human-readable format with support for nested structures makes it perfect for configuration files, metadata, and hierarchical data that doesn't fit in CSV.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data AcquisitionAutomating Research WorkflowsDataframes and Statistics

Jupyter notebooks allow you to combine code, results, and explanations in a single document. This makes them perfect for exploratory data analysis, teaching, and creating reproducible research workflows. You can iterate quickly, visualize results inline, and document your thought process as you work.

Recorded in topic offerings; consult the dated event links for availability.

15 past offerings · 2 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingAutomating Research WorkflowsDataframes and StatisticsDeveloper EnvironmentMachine LearningRobust and Reusable SoftwareWebsite Development

Markdown keeps writing close to plain text while still supporting structured pages, links, code snippets, and publication workflows.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: AI-Assisted Software DevelopmentDeveloper EnvironmentWebsite Development

Relevant to researchers working with existing MATLAB analyses and numerical computing workflows. The recommendation is contextual rather than a requirement to learn it alongside every other language.

Recorded in topic offerings; consult the dated event links for availability.

2 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingRobust and Reusable Software

Matplotlib is the foundational plotting library for Python, offering complete control over every aspect of your figures. It's publication-ready out of the box and integrates seamlessly with NumPy and Pandas, making it essential for visualizing research data.

Recorded in topic offerings; consult the dated event links for availability.

15 past offerings · 4 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingDataframes and StatisticsDeveloper EnvironmentLocal Field Potential (LFP) Analysis(M)EEG AnalysisNeural Spike Analysis

MNE-Python provides a comprehensive, well-documented toolkit for processing electrophysiological data. It handles the full analysis pipeline from raw recordings to publication-ready results, with strong support for time-frequency analysis, source localization, and connectivity measures.

Recorded in topic offerings; consult the dated event links for availability.

2 past offerings · 1 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Local Field Potential (LFP) Analysis(M)EEG Analysis

NumPy is the foundation of the scientific Python ecosystem. It provides powerful n-dimensional array objects and tools for working with these arrays. Nearly every scientific Python package builds on NumPy, making it essential for data analysis, numerical computing, and scientific research.

Recorded in topic offerings; consult the dated event links for availability.

21 past offerings · 5 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingCalcium Imaging AnalysisDataframes and StatisticsLocal Field Potential (LFP) AnalysisMachine Learning(M)EEG AnalysisNeural Spike AnalysisRobust and Reusable Software

NWB is the emerging standard for neuroscience data sharing, required by many NIH BRAIN Initiative grants. It provides a unified format for diverse data types (ephys, imaging, behavior) with rich metadata, enabling tool interoperability and compliance with FAIR principles.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging AnalysisLocal Field Potential (LFP) Analysis(M)EEG AnalysisNeural Spike Analysis

Pandas provides intuitive data structures (DataFrames) for working with tabular data, making it easy to clean, analyze, and visualize datasets. It's the go-to tool for exploratory data analysis and handling experimental results in research.

Recorded in topic offerings; consult the dated event links for availability.

14 past offerings · 2 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingAutomating Research WorkflowsDataframes and StatisticsLocal Field Potential (LFP) AnalysisNeural Spike Analysis

Parquet offers significantly better compression and query performance than CSV for large datasets. Its columnar format is perfect for analytical queries where you only need specific columns, and it's become the standard for big data workflows.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Dataframes and Statistics

pathlib makes path handling more readable and portable than manually joining path strings.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingAutomating Research Workflows

The repository already uses Pixi to manage its toolchain. Project dependency declarations, lock files, and tasks make it a practical candidate for reproducible research environments.

Recorded in topic offerings; consult the dated event links for availability.

9 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsDeveloper Environment

pytest makes it easy to write tests for research code, catching errors before they affect results. Its simple syntax and powerful features help ensure reproducibility and build confidence when refactoring analysis pipelines.

Recorded in topic offerings; consult the dated event links for availability.

3 past offerings · 2 upcoming offerings

Related themes: Scientific Computing

Related topics: AI-Assisted Software DevelopmentAutomating Research WorkflowsDeveloper EnvironmentRobust and Reusable Software

Python combines a readable language with a mature scientific ecosystem, making it a practical default for research data analysis, automation, and teaching.

Recorded in topic offerings; consult the dated event links for availability.

26 past offerings · 7 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Programming and Data AcquisitionAI-Assisted Software DevelopmentArrays and Numerical ComputingAutomating Research WorkflowsCalcium Imaging AnalysisDataframes and StatisticsDeveloper EnvironmentLocal Field Potential (LFP) AnalysisMachine Learning(M)EEG AnalysisNeural Spike AnalysisRobust and Reusable Software

A relevant choice for statistical and tabular analysis, especially when collaborating with R users. Choose a language that fits the research workflow rather than trying to learn every ecosystem.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Dataframes and StatisticsRobust and Reusable Software

Declared dependencies and lock files help collaborators rerun analyses and distinguish environment changes from changes in scientific results.

Covered through our computing environment and research workflow topics; individual offerings are not yet attributed to this practice.

0 past offerings · 0 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingAutomating Research WorkflowsCalcium Imaging AnalysisDataframes and StatisticsDeveloper EnvironmentLocal Field Potential (LFP) AnalysisMachine LearningRobust and Reusable Software

Scikit-image provides a comprehensive collection of image processing algorithms that are essential for microscopy and biological imaging. It's well-documented, actively maintained, and integrates seamlessly with NumPy and other scientific Python tools.

Recorded in topic offerings; consult the dated event links for availability.

4 past offerings · 1 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging Analysis

Scikit-learn provides a consistent, easy-to-use interface for machine learning in Python. It's perfect for analyzing neuroscience data: clustering neurons, reducing dimensionality of neural responses, and classifying behavioral states.

Recorded in topic offerings; consult the dated event links for availability.

4 past offerings · 2 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentMachine Learning(M)EEG AnalysisNeural Spike Analysis

SciPy builds on NumPy to provide a comprehensive collection of algorithms for scientific computing. Its signal processing tools are essential for analyzing neural recordings, while its optimization and statistical functions support data analysis and modeling across neuroscience research.

Recorded in topic offerings; consult the dated event links for availability.

9 past offerings · 5 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingCalcium Imaging AnalysisLocal Field Potential (LFP) AnalysisMachine Learning(M)EEG AnalysisNeural Spike Analysis

Seaborn makes it easy to create beautiful, informative statistical graphics with minimal code. It provides high-level functions for common statistical plots and works seamlessly with Pandas DataFrames, making exploratory analysis faster and more intuitive than raw Matplotlib.

Recorded in topic offerings; consult the dated event links for availability.

10 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingDataframes and Statistics

SpikeInterface provides a single, unified interface to run and compare multiple spike sorting algorithms. It standardizes the spike sorting workflow from preprocessing through quality metrics, making it easier to process extracellular recordings.

Recorded in topic offerings; consult the dated event links for availability.

2 past offerings · 1 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentNeural Spike Analysis

SQL is a compact and widely transferable way to ask precise questions of tabular and database-oriented research data.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Dataframes and Statistics

Consistent tabular structures make transformations, visualizations, and statistical comparisons easier to understand and reuse; other data models may suit arrays or specialized recordings better.

Discussed in our dataframe and statistics topics; individual offerings are not yet attributed to this practice.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Dataframes and Statistics

VS Code combines the simplicity of a text editor with powerful IDE features. Its Python and Jupyter extensions provide an excellent environment for scientific computing, with features like interactive debugging, code completion, and integrated terminals.

Recorded in topic offerings; consult the dated event links for availability.

11 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data AcquisitionAI-Assisted Software DevelopmentDeveloper Environment

Apptainer makes it practical to move complex scientific software between laptops, workstations, and high-performance computing systems without asking researchers to rebuild every dependency by hand.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research Workflows

Bootstrap gives researchers practical building blocks for creating clean web pages without starting every layout from scratch.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Website Development

C++ is useful when research software needs direct hardware control, predictable performance, or integration with embedded systems.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data AcquisitionArrays and Numerical ComputingRobust and Reusable Software

CaImAn provides state-of-the-art algorithms for processing calcium imaging movies. It handles motion correction, source extraction, and deconvolution in a unified pipeline, making it the standard tool for extracting neural activity from two-photon and one-photon imaging data.

Recorded in topic offerings; consult the dated event links for availability.

2 past offerings · 0 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging Analysis

Useful for existing conda-based workflows and scientific package compatibility. Compare it with Pixi when designing new reproducible project environments; the group should review which approach to teach as its default.

Recorded in topic offerings; consult the dated event links for availability.

11 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsDeveloper Environment

CSS lets researchers turn structured content into readable, responsive, and polished web pages.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: AI-Assisted Software DevelopmentWebsite Development

CuPy helps move suitable NumPy-style workloads onto GPUs with familiar array operations.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingMachine LearningRobust and Reusable Software

Dask helps researchers scale analyses beyond a single in-memory array or table while staying close to the scientific Python tools they already use.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingDataframes and StatisticsRobust and Reusable Software

DataLad helps research groups keep data, code, and provenance connected while collaborating across machines and institutions.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsRobust and Reusable Software

DuckDB brings the power of SQL to your research data without the complexity of server setup. It's incredibly fast for analytical queries, works directly with Pandas DataFrames and Parquet files, and requires zero configuration. Perfect for querying large datasets that don't fit in memory.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Dataframes and StatisticsRobust and Reusable Software

DVC gives Git-like workflows for files that are too large or too changeable to store directly in Git repositories.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsDeveloper Environment

The EBRAINS Collaboratory combines hosted JupyterLab, shared storage, documentation, and team management in workspaces designed for neuroscience. It is worth exploring when a course or project needs a shared cloud environment with direct access to EBRAINS tools and resources.

Recorded in scheduled neuroscience offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging AnalysisNeural Spike Analysis

Elephant provides a comprehensive suite of analysis methods specifically designed for electrophysiology data. It handles spike trains, continuous signals, and their relationships with proper units and data structures, making complex analyses reproducible and standardized.

Recorded in topic offerings; consult the dated event links for availability.

3 past offerings · 2 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: AI-Assisted Software DevelopmentLocal Field Potential (LFP) AnalysisNeural Spike Analysis

fsspec provides a single, consistent interface for working with files whether they're on your local disk, in the cloud, or on GitHub. This means you can write code once and access data from multiple sources without changing your file operations.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Automating Research WorkflowsCalcium Imaging AnalysisDataframes and Statistics

GIN combines Git-like version control with storage optimized for large research datasets. It's specifically designed for neuroscience and other data-intensive fields where you need both version control and efficient handling of large files.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsRobust and Reusable Software

GitHub is the de facto standard for sharing and collaborating on code. It provides excellent tools for code review, issue tracking, and project management. Most scientific software is hosted on GitHub, making it essential for reproducible research.

Recorded in topic offerings; consult the dated event links for availability.

18 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingAutomating Research WorkflowsDeveloper EnvironmentRobust and Reusable SoftwareWebsite Development

GitHub Actions lets research teams automate repetitive checks so shared code remains easier to trust and maintain.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsRobust and Reusable Software

GitLab combines code hosting, project coordination, and CI/CD in one place, making it useful for research groups that need transparent collaboration around shared software.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsDeveloper EnvironmentRobust and Reusable SoftwareWebsite Development

GitLab CI/CD turns project expectations into repeatable checks, helping research teams catch broken tests, missing dependencies, and packaging problems before changes are merged.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsRobust and Reusable Software

h5py gives Python users direct access to hierarchical HDF5 datasets, including partial reads and structured metadata, which are important for large scientific data files.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Arrays and Numerical ComputingCalcium Imaging AnalysisDataframes and StatisticsRobust and Reusable Software

HTML is the foundation for publishing readable, structured research pages on the web.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: AI-Assisted Software DevelopmentWebsite Development

Hugo enables researchers to create fast, maintainable websites for documentation, lab pages, and project sites. Its speed, simplicity, and Markdown-based workflow integrate naturally with research workflows, making it easy to document methods, share results, and maintain online presence.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: AI-Assisted Software DevelopmentWebsite Development

JAX is useful for high-performance numerical work that benefits from compilation, vectorization, and automatic differentiation.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingMachine Learning

LFPy connects multicompartment NEURON models with predictions of extracellular potentials and other observable signals. It is worth exploring when an analysis needs to relate cellular or network activity to simulated electrode measurements while keeping the biophysical assumptions explicit.

Recorded in a scheduled local-field-potential offering; consult the dated event link for availability.

0 past offerings · 1 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Local Field Potential (LFP) Analysis

memory-profiler helps researchers see where an analysis allocates memory, which is often the first step toward making large-data workflows reliable.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingAutomating Research WorkflowsRobust and Reusable Software

Miro can help research teams make project structure visible before it becomes code, especially when mapping stakeholders, workflows, priorities, or release plans.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Developer Environment

mypy catches type errors before code execution through static analysis. Adding type hints to research code improves documentation, enables better IDE support, and catches bugs that would otherwise only appear during analysis runs.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Robust and Reusable Software

Napari provides an intuitive, fast viewer for multi-dimensional scientific images. It's perfect for exploring calcium imaging data, manually selecting ROIs, and visualizing complex image stacks. Its plugin ecosystem and Python API make it both user-friendly and extensible.

Recorded in topic offerings; consult the dated event links for availability.

3 past offerings · 0 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Arrays and Numerical ComputingCalcium Imaging Analysis

Neo provides standardized data structures for electrophysiology that bridge different recording systems and analysis tools. It handles metadata, units, and relationships between data types, making your analysis code more portable and maintainable.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging AnalysisLocal Field Potential (LFP) Analysis(M)EEG AnalysisNeural Spike Analysis

NetCDF provides self-describing, portable storage for multi-dimensional arrays with labeled dimensions. It integrates seamlessly with xarray and follows standardized metadata conventions, making it excellent for time-series data with spatial structure.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingDataframes and Statistics

Numba can speed up numerical Python code while keeping performance work close to familiar Python and NumPy-style code.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingMachine LearningRobust and Reusable Software

OSF provides a comprehensive platform for managing research projects openly. It supports preregistration, data sharing, and connects with many other tools (GitHub, figshare, Dropbox). It's designed specifically for research workflows and promotes transparency.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsRobust and Reusable Software

OwnCloud (via Sciebo) provides secure cloud storage that's hosted by German universities, ensuring GDPR compliance and data sovereignty. The Python client makes it easy to automate dataset downloads and share data with collaborators.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research Workflows

Pandera makes assumptions about tabular data explicit, testable, and reusable, which helps prevent subtle data-cleaning mistakes from propagating into analysis results.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Dataframes and StatisticsRobust and Reusable Software

Papermill lets you run the same analysis notebook with different parameters, making it easy to process multiple subjects, conditions, or datasets. It's perfect for batch processing while keeping your analysis in the familiar Jupyter format.

Recorded in topic offerings; consult the dated event links for availability.

2 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsDeveloper Environment

Pingouin provides a simple, consistent interface for statistical testing that produces readable output. It's perfect for researchers who need to run standard statistical tests without getting lost in complex API documentation, and it integrates beautifully with pandas DataFrames.

Recorded in topic offerings; consult the dated event links for availability.

10 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingDataframes and Statistics

plotnine gives Python users a declarative way to build statistical graphics, which can make complex plots easier to reason about and adapt across related datasets.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Dataframes and Statistics

Polars is useful when tabular workflows need more speed, lower memory use, or lazy query planning while remaining approachable for Python users.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Dataframes and StatisticsNeural Spike AnalysisRobust and Reusable Software

ProbeInterface provides a standardized way to describe electrode probe geometries (Neuropixels, tetrodes, etc.). It handles the complex spatial layouts and wiring of modern high-density probes, making it easier to visualize and analyze multi-channel recordings.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Neural Spike Analysis

PsychoPy provides precise timing control and extensive hardware support, making it ideal for behavioral experiments. Its Python-based scripting offers flexibility for complex experimental designs while maintaining millisecond-precision stimulus presentation critical for neuroscience research.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data AcquisitionRobust and Reusable Software

Pydantic helps make research applications more explicit and robust by validating inputs, configuration, and structured data.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Robust and Reusable Software

Pydoit brings make-style build automation to Python with a simple, Pythonic interface. It's perfect for automating repetitive analysis tasks, managing data processing pipelines, and ensuring your analysis steps run in the correct order.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research Workflows

PyTorch offers an intuitive, Pythonic approach to building neural networks with excellent debugging capabilities. Its dynamic computation graphs make it ideal for research, while its performance and ecosystem make it production-ready. It's become the standard for neuroscience modeling and deep learning research.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Machine Learning

Sciebo provides GDPR-compliant cloud storage hosted in Germany, specifically designed for academic use. It offers generous storage quotas and integrates well with university authentication systems, making it ideal for storing and sharing research data.

Recorded in topic offerings; consult the dated event links for availability.

10 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingAutomating Research WorkflowsDeveloper Environment

SciPy Stats provides a broad, scriptable foundation for distributions, statistical tests, random variables, and summary statistics used throughout scientific Python workflows.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Arrays and Numerical ComputingDataframes and StatisticsLocal Field Potential (LFP) Analysis(M)EEG Analysis

siibra provides structured programmatic access to integrated brain atlases, including the Allen Mouse Common Coordinate Framework used in atlas-registration workflows. It is worth exploring when analyses need reproducible region assignment or access to anatomically anchored data.

Recorded in a scheduled calcium-imaging offering; consult the dated event link for availability.

0 past offerings · 1 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging Analysis

Snakemake helps you build reproducible analysis pipelines that track dependencies automatically. It ensures your analyses run in the correct order, reruns only what's necessary when data changes, and scales from your laptop to compute clusters.

Recorded in topic offerings; consult the dated event links for availability.

2 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research Workflows

Streamlit enables researchers to quickly create interactive dashboards and web applications without web development expertise. It's ideal for exploratory data analysis, sharing results with collaborators, and building parameter exploration tools.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Robust and Reusable Software

Suite2p provides a complete, automated pipeline for calcium imaging analysis from raw TIFF files to extracted neural activity traces. Its GUI makes it accessible for beginners while its Python API enables advanced customization and batch processing.

Recorded in topic offerings; consult the dated event links for availability.

2 past offerings · 1 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging Analysis

Tifffile is the most reliable and feature-rich library for working with TIFF files in scientific imaging. It handles complex multi-page TIFF stacks, OME-TIFF metadata, and BigTIFF formats that are standard in microscopy.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Neural Data Analysis

Related topics: Calcium Imaging Analysis

timeit gives researchers a simple, repeatable way to compare small implementation choices before investing in heavier profiling or optimization work.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Arrays and Numerical ComputingAutomating Research WorkflowsRobust and Reusable Software

WSL helps Windows users participate in Linux-oriented research workflows without needing a separate machine, making command-line tools, package managers, and pipeline software easier to use.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsDeveloper Environment

Xarray extends pandas-like labels and indexing to multi-dimensional arrays, making it perfect for working with complex scientific datasets like electrophysiology recordings, imaging data, and climate data. It handles coordinates, dimensions, and metadata elegantly.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Neural Data AnalysisScientific Computing

Related topics: Arrays and Numerical ComputingDataframes and Statistics(M)EEG AnalysisRobust and Reusable Software

Supports participation in the group’s online offerings. It is a teaching infrastructure choice rather than an analysis skill that all researchers need to learn.

Relevant to the topic landscape; no explicit recorded offering is currently attributed to this item.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Developer Environment

Assess whether this fits the group’s research and teaching workflows. beartype gives fast feedback when function inputs or outputs do not match the types a project claims to support, which is useful for research code that handles many arrays, tables, and configuration objects.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 1 upcoming offerings

Related themes: Scientific Computing

Related topics: Robust and Reusable Software

Assess whether this fits the group’s research and teaching workflows. DearPyGui excels at real-time visualization and interactive applications requiring high performance. Built on Dear ImGui, it provides immediate-mode GUI rendering with GPU acceleration, making it ideal for live data streaming, real-time signal processing, and interactive scientific visualizations.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Robust and Reusable Software

Assess whether this fits the group’s research and teaching workflows. hvPlot makes creating interactive visualizations as easy as using pandas' built-in plotting, but with interactivity out of the box. It's perfect for exploratory data analysis, allowing you to zoom, pan, and hover over data points without writing complex plotting code.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research Workflows

Assess whether this fits the group’s research and teaching workflows. mTRFpy brings temporal response function modeling to Python. It supports regularized forward and backward models, cross-validation, prediction, visualization, and integration with MNE-Python, making it well suited to reproducible analyses of continuous neurophysiological data.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 1 upcoming offerings

Related themes: Neural Data Analysis

Related topics: (M)EEG Analysis

Assess whether this fits the group’s research and teaching workflows. nbdev can help notebook-heavy projects become importable, documented, and tested packages while preserving an exploratory authoring workflow.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Automating Research WorkflowsRobust and Reusable Software

Assess whether this fits the group’s research and teaching workflows. Panel makes it easy to turn your Jupyter notebooks into interactive dashboards without learning web development. You can create widgets, layouts, and deploy applications directly from Python, making your analyses interactive and shareable with collaborators.

Recorded in topic offerings; consult the dated event links for availability.

0 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Robust and Reusable Software

Assess whether this fits the group’s research and teaching workflows. PlatformIO provides a structured project environment for embedded development, including builds, libraries, board targets, and upload workflows.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data Acquisition

Assess whether this fits the group’s research and teaching workflows. Wokwi lets you learn Arduino programming without buying hardware. It simulates real microcontrollers in your browser, making it perfect for teaching, prototyping, and testing code before deploying to physical devices.

Recorded in topic offerings; consult the dated event links for availability.

1 past offerings · 0 upcoming offerings

Related themes: Scientific Computing

Related topics: Programming and Data Acquisition