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a-geographers-journey-into-ai-mapping-urban-trees-from-scratch-scipy-2019.json
an-overview-to-simulations-and-generating-synthetic-data-sets-scipy-2019-tutorial-aileen-nielsen.json
anatomy-of-probabilistic-programming-languages-scipy-2019-s-ramamoorthy.json
apricot-submodular-selection-for-data-summarization-scipy-2019-jacob-schreiber.json
astropy-beyond-astronomy-infrastructure-of-an-open-source-ecosystem-scipy-2019-b-sipocz.json
bayesian-data-science-probabilistic-programming-scipy-2019-tutorial-eric-ma.json
bayesian-statistics-made-simple-scipy-2019-tutorial-allen-downey.json
better-and-faster-hyper-parameter-optimization-with-dask-scipy-2019-scott-sievert.json
building-replicating-models-of-visual-search-behavior-w-tensorflow-nengo-scientific-python.json
chainer-a-deep-learning-framework-for-fast-research-applications-scipy-2019-seiya-tokui.json
challenges-in-detecting-physiological-changes-using-wearable-sensor-data-scipy-2019-e-preble.json
complexity-science-scipy-2019-tutorial-allen-downey.json
composing-and-decomposing-quantum-chemistry-software-scipy-2019-lori-burns-daniel-smith.json
cupy-a-numpy-compatible-library-for-high-performance-computing-with-gpu-scipy-2019-scipy-2019.json
dashboarding-with-jupyter-notebooks-voila-and-widgets-scipy-2019.json
dask-image-a-library-for-distributed-image-processing-scipy-2019-john-kirkham.json
data-analysis-tools-for-the-james-webb-space-telescope-confluence-of-academia-nasa-open-source.json
day-1-scipy-tools-plenary-session-scipy-2019.json
day-2-lightning-talks-scipy-2019.json
day-2-scipy-tools-plenary-session-scipy-2019.json
day-2-welcome-scipy-2019.json
day-3-lightning-talks-scipy-2019.json
day-3-scipy-tools-plenary-session-scipy-2019.json
day-3-welcome-scipy-2019.json
deep-learning-fundamentals-forward-model-differentiable-loss-function-optimization-scipy-2019.json
echopype-enhancing-the-interoperability-and-scalability-of-ocean-sonar-data-processing-scipy-2019.json
efficient-atmospheric-analogue-selection-with-xarray-and-dask-scipy-2019-tyler-wixstrom.json
escape-from-auto-manual-testing-with-hypothesis-scipy-2019-tutorial-zac-hatfield-dodds.json
experience-building-local-communities-of-open-source-practices-users-through-the-carpentries-scipy.json
fast-gradient-boosting-decision-trees-with-pygbm-and-numba-scipy-2019.json
freud-a-software-suite-for-high-throughput-analysis-of-nanoscale-simulation-data-scipy-2019.json
fully-automated-behavioral-experiments-on-cultural-transmission-through-crowdsourcing-scipy-2019.json
generational-changes-in-support-for-gun-laws-a-case-study-in-computational-statistics-scipy-2019.json
getting-lost-in-community-building-scipy-2019-matthew-turk.json
getting-started-with-jupyterlab-scipy-2019-tutorial-bussonnier-grout-stephanie-stattel.json
git-hooked-on-images-in-your-version-control-up-your-documentation-game-scipy-2019-hanus.json
hands-on-satellite-imagery-analysis-scipy-2019-tutorial-samapriya-roy-sara-safavi.json
how-to-accelerate-an-existing-codebase-with-numba-scipy-2019-siu-kwan-lam-stanley-seibert.json
how-to-track-plastic-in-the-ocean-the-parcels-lagrangian-ocean-framework-scipy-2019-van-sebille.json
image-analysis-in-python-with-scipy-and-scikit-image-scipy-2019-tutorial-nunez-iglesias.json
imglyb-bridging-the-chasm-between-imagej-and-numpy-scipy-2019-philipp-hanslovsky.json
inclusive-leadership-engaging-contributors-in-the-long-term-scipy-2019-tania-allard.json
inequality-of-underrepresented-groups-in-core-project-leadership-scipy-2019-anthony-scopatz.json
inside-numpy-preparing-for-the-next-decade-scipy-2019-gommers-picus-reddy-van-der-walt.json
intermediate-methods-for-geospatial-data-analysis-scipy-2019-tutorial-serge-rey-levi-wolf.json
intro-to-bayesian-model-evaluation-visualization-comparison-using-arviz-scipy-2019-tutorial.json
introduction-to-data-processing-in-python-with-pandas-scipy-2019-tutorial-daniel-chen.json
introduction-to-matplotlib-scipy-2019-tutorial-hannah-aizenman-thomas-caswell.json
introduction-to-numerical-computing-with-numpy-scipy-2019-tutorial-alex-chabot-leclerc.json
introduction-to-python-scipy-2019-tutorial-matt-davis.json
invisible-work-incentives-burnout-in-open-communities-scipy-2019-dorothy-howard.json
keynote-jupyter-always-open-for-learning-and-discovery-scipy-2019-carol-willing.json
keynote-the-new-era-in-nlp-scipy-2019-rachel-thomas.json
land-on-vector-spaces-practical-linear-algebra-with-python-scipy-2019-tutorial-l-barba-t-wang.json
lightning-talks-scipy-2019.json
lights-camera-action-scrape-explore-and-model-to-predict-oscar-winners-scipy-2019-hanus.json
microscopium-interactive-exploration-of-large-imaging-datasets-scipy-2019-genevieve-buckley.json
ml-net-in-python-with-nimbusml-scipy-2019-interlandi-krivosheev-weimer-zahirazami-zhu.json
model-remodeling-with-modern-deep-learning-frameworks-scipy-2019-ethan-rosenthal.json
modern-time-series-analysis-scipy-2019-tutorial-aileen-nielsen.json
multi-dimensional-linked-data-exploration-with-glue-scipy-2019-thomas-robitaille.json
multi-dimensional-linked-data-exploration-with-glue-scipy-2019-tutorial-thomas-robitaille.json
network-analysis-made-simple-scipy-2019-tutorial-eric-ma.json
optimizing-python-based-spectroscopic-data-processing-on-nersc-supercomputers-scipy-2019.json
optuna-a-define-by-run-hyperparameter-optimization-framework-scipy-2019.json
parameter-estimation-using-the-python-package-pymcmcstat-scipy-2019-paul-miles.json
processing-extremely-large-images-theory-and-practice-scipy-2019-m-mccormick.json
pydda-a-new-pythonic-package-for-wind-retrievals-scipy-2019-robert-jackson.json
pyjanitor-clean-apis-for-cleaning-data-scipy-2019-eric-ma.json
python-in-seismology-at-the-national-earthquake-information-center-scipy-2019-hearne.json
raiders-of-the-pottery-gan-using-3d-generative-adversarial-networks-for-data-augmentation-scipy.json
rapids-open-gpu-data-science-scipy-2019-tutorial-scopatz-becker-kraus-gama-dessavre.json
real-world-numba-creating-a-skeleton-analysis-library-scipy-2019-juan-nunez-iglesias.json
refactoring-the-scipy-ecosystem-for-heterogeneous-computing-scipy-2019-matthew-rocklin.json
renewable-power-forecast-generation-with-dask-visualization-with-bokeh-scipy2019-a-lorenzo.json
reproducible-data-science-in-python-scipy-2019-tutorial-xu-fei-chandrasekhar-ramakrishnan.json
safe-handling-instructions-for-probabilistic-classification-scipy-2019-gordon-chen.json
scikit-tda-topological-tools-for-the-python-ecosystem-scipy-2019-nathaniel-saul.json
skorch-a-union-of-scikit-learn-and-pytorch-scipy-2019-thomas-fan.json
starfish-standardizing-pipelines-for-image-based-transcriptomics-scipy-2019-shannon-axelrod.json
supporting-open-source-software-for-science-scipy-2019-j-freeman-n-sofroniew.json
sustainable-open-source-community-with-numfocus-scipy-2019-andy-terrel.json
test-research-code-the-easy-way-by-generating-random-inputs-with-hypothesis-scipy-2019.json
testing-your-python-code-with-pytest-scipy-2019-tutorial-john-leeman-ryan-may.json
the-invisible-work-of-maintaining-sustaining-open-source-software-scipy-2019-keyote-s-geiger.json
the-jupyter-interactive-widget-ecosystem-scipy-2019-tutorial-breddels-craig-grout-renou.json
to-a-billion-beyond-how-to-visually-explore-compare-share-large-quant-datasets-w-higlass.json
to-comment-or-not-to-comment-a-data-driven-look-at-conflicting-attitudes-towards-commenting.json
turn-any-notebook-into-a-deployable-dashboard-scipy-2019-james-bednar.json
turning-hpc-systems-into-interactive-data-analysis-platforms-scipy-2019-a-banihirwe.json
using-a-stacking-model-ensemble-approach-to-predict-rare-events-scipy-2019-susan-yuhou-xia.json
using-nix-for-repeatable-python-environments-scipy-2019-daniel-wheeler.json
using-satpy-to-process-earth-observing-satellite-data-scipy-2019-tutorial-david-hoese.json
vaex-out-of-core-dataframes-for-python-scipy-2019-maarten-breddels.json
visual-diagnostics-at-scale-more-informed-machine-learning-with-large-datasets-scipy-2019-bilbro.json
visualization-of-bioinformatics-data-with-dash-bio-scipy-2019-shammamah-hossain.json
visualize-any-data-easily-from-notebooks-to-dashboards-scipy-2019-tutorial-james-bednar.json
welcome-scipy-2019-serge-rey.json
work-open-lead-open-wolo-for-sustainability-scipy-2019-abigail-cabunoc-mayes.json
xgcm-analyzing-general-circulation-models-in-python-scipy-2019-ryan-abernathey.json
xonsh-bringing-python-data-science-to-your-shell-scipy-2019-tutorial-g-forsyth-a-scopatz.json
zarr-scalable-storage-of-tensor-data-for-use-in-parallel-and-distributed-computing-scipy-2019.json
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