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Scientifi with Python

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Introduction to Numerical Computing with NumPy | SciPy 2019 Tutorial | Alex Chabot Leclerc

Optimizing Python Based Spectroscopic Data Processing on NERSC Supercomputers | SciPy 2019 |

Lights Camera Action Scrape Explore and Model to Predict Oscar Winners | SciPy 2019 | Hanus

Day 1 SciPy Tools Plenary Session | SciPy 2019 |

Testing your Python Code with PyTest | Scipy 2019 Tutorial | John Leeman Ryan May

To a Billion Beyond How to Visually Explore Compare Share Large Quant Datasets w HiGlass

Bayesian Statistics Made Simple | Scipy 2019 Tutorial | Allen Downey

The Invisible Work of Maintaining Sustaining Open Source Software | SciPy 2019 Keyote | S Geiger

Day 1 Lightning Talks | SciPy 2019 |

ML NET in Python with NimbusML | SciPy 2019 | Interlandi Krivosheev Weimer Zahirazami Zhu

Optuna A Define by Run Hyperparameter Optimization Framework | SciPy 2019 |

Safe Handling Instructions for Probabilistic Classification | SciPy 2019 | Gordon Chen

Starfish Standardizing Pipelines for Image Based Transcriptomics | SciPy 2019 | Shannon Axelrod

Test Research Code the Easy Way By Generating Random Inputs with Hypothesis | SciPy 2019 |

To Comment or Not to Comment A Data Driven Look at Conflicting Attitudes Towards Commenting

Using Nix for Repeatable Python Environments | SciPy 2019 | Daniel Wheeler

Vaex Out of Core Dataframes for Python | SciPy 2019 | Maarten Breddels

Day 1Welcome | SciPy 2019 | Serge Rey

Zarr Scalable Storage of Tensor Data for Use in Parallel and Distributed Computing | SciPy 2019 |

freud A Software Suite for High Throughput Analysis of Nanoscale Simulation Data | SciPy 2019 |

Git “Hooked” On Images In Your Version Control Up Your Documentation Game | SciPy 2019 | Hanus

imglyb Bridging The Chasm Between ImageJ and NumPy | SciPy 2019 | Philipp Hanslovsky

Inclusive Leadership Engaging Contributors in the Long Term | SciPy 2019 | Tania Allard

Inside NumPy Preparing for the Next Decade | SciPy 2019 | Gommers Picus Reddy van der Walt

Visualization of Bioinformatics Data with Dash Bio | SciPy 2019 | Shammamah Hossain

A Geographers Journey into AI Mapping Urban Trees from Scratch | SciPy 2019 |

Data Analysis Tools for the James Webb Space Telescope Confluence of Academia NASA Open Source

Fast Gradient Boosting Decision Trees with PyGBM and Numba | SciPy 2019 |

Getting Started with JupyterLab | SciPy 2019 Tutorial | M Bussonnier J Grout S Stattel

Introduction to Data Processing in Python with Pandas | SciPy 2019 Tutorial | Daniel Chen

Deep Learning Fundamentals Forward Model Differentiable Loss Function Optimization | SciPy 2019

Intro to Bayesian Model Evaluation Visualization Comparison Using ArviZ | SciPy 2019 Tutorial |

Introduction to Matplotlib | SciPy 2019 Tutorial | Hannah Aizenman Thomas Caswell

Bayesian Data Science Probabilistic Programming | SciPy 2019 Tutorial | Eric Ma

Intermediate Methods for Geospatial Data Analysis | SciPy 2019 Tutorial | Serge Rey Levi Wolf

Land on Vector Spaces Practical Linear Algebra with Python | SciPy 2019 Tutorial | L Barba T Wang

Using SatPy to Process Earth observing Satellite Data | SciPy 2019 Tutorial | David Hoese

Introduction to Python | SciPy 2019 Tutorial | Matt Davis

Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen

Visual Diagnostics at Scale More Informed Machine Learning with Large Datasets | SciPy 2019 |Bilbro

Day 2 Welcome | SciPy 2019 |

Xgcm Analyzing General Circulation Models in Python | SciPy 2019 | Ryan Abernathey

Python in Seismology at the National Earthquake Information Center | SciPy 2019 | Hearne

Processing Extremely Large Images Theory and Practice | SciPy 2019 | M McCormick

Keynote The New Era in NLP | SciPy 2019 | Rachel Thomas

How to Track Plastic in the Ocean The Parcels Lagrangian Ocean Framework | SciPy 2019 | van Sebille

Generational Changes in Support for Gun Laws A Case Study in Computational Statistics | SciPy 2019

dask image A Library for Distributed Image Processing | SciPy 2019 | John Kirkham

apricot Submodular Selection for Data Summarization | SciPy 2019 | Jacob Schreiber

Real World Numba Creating a Skeleton Analysis Library | SciPy 2019 | Juan Nunez Iglesias

Efficient Atmospheric Analogue Selection with Xarray and Dask | SciPy 2019 | Tyler Wixstrom

Echopype Enhancing the Interoperability and Scalability of Ocean Sonar Data Processing | SciPy 2019

PyDDA A New Pythonic Package for Wind Retrievals | SciPy 2019 | Robert Jackson

Experience Building Local Communities of Open Source Practices Users through The Carpentries |SciPy

Getting Lost in Community Building | SciPy 2019 | Matthew Turk

Inequality of Underrepresented Groups in Core Project Leadership | SciPy 2019 | Anthony Scopatz

Supporting Open Source Software for Science | SciPy 2019 | J Freeman N Sofroniew

Challenges in Detecting Physiological Changes Using Wearable Sensor Data | SciPy 2019 | E Preble

Day 2 SciPy Tools Plenary Session | SciPy 2019 |

pyjanitor Clean APIs for Cleaning Data | SciPy 2019 | Eric Ma

Using a Stacking Model Ensemble Approach to Predict Rare Events | SciPy 2019 | Susan Yuhou Xia

Better and Faster Hyper Parameter Optimization with Dask | SciPy 2019 | Scott Sievert

Scikit TDA Topological Tools for the Python Ecosystem | SciPy 2019 | Nathaniel Saul

CuPy A NumPy Compatible Library for High Performance Computing with GPU | SciPy 2019 | SciPy 2019 |

Day 3 Welcome | SciPy 2019 |

Anatomy of Probabilistic Programming Languages | SciPy 2019 | S Ramamoorthy

Model Remodeling with Modern Deep Learning Frameworks | SciPy 2019 | Ethan Rosenthal

Raiders of the Pottery GAN Using 3D Generative Adversarial Networks for Data Augmentation | SciPy

How to Accelerate an Existing Codebase with Numba | SciPy 2019 | Siu Kwan Lam Stanley Seibert

Keynote Jupyter Always Open for Learning and Discovery | SciPy 2019 | Carol Willing

Multi Dimensional Linked Data Exploration with Glue | SciPy 2019 | Thomas Robitaille

Composing and Decomposing Quantum Chemistry Software | SciPy 2019 | Lori Burns Daniel Smith

Day 3 SciPy Tools Plenary Session | SciPy 2019 |

Day 3 Lightning Talks | SciPy 2019 |

Skorch A Union of Scikit learn and PyTorch | SciPy 2019 | Thomas Fan

Parameter Estimation Using the Python Package pymcmcstat | SciPy 2019 | Paul Miles

Microscopium Interactive Exploration of Large Imaging Datasets | SciPy 2019 | Genevieve Buckley

Chainer A Deep Learning Framework for Fast Research Applications | SciPy 2019 | Seiya Tokui

Building Replicating Models of Visual Search Behavior w Tensorflow Nengo Scientific Python

Fully Automated Behavioral Experiments on Cultural Transmission through Crowdsourcing | SciPy 2019

Sustainable Open Source Community with NumFOCUS | SciPy 2019 | Andy Terrel

Turn any Notebook into a Deployable Dashboard | SciPy 2019 | James Bednar

Work Open Lead Open WOLO for Sustainability | SciPy 2019 | Abigail Cabunoc Mayes

Astropy Beyond Astronomy Infrastructure of an Open Source Ecosystem | SciPy 2019 | B Sipocz

Invisible Work Incentives Burnout in Open Communities | SciPy 2019 | Dorothy Howard

Turning HPC Systems into Interactive Data Analysis Platforms | SciPy 2019 | A Banihirwe

Refactoring the SciPy Ecosystem for Heterogeneous Computing | SciPy 2019 | Matthew Rocklin

Renewable Power Forecast Generation with Dask Visualization with Bokeh | SciPy2019 | A Lorenzo

Day 2 Lightning Talks | SciPy 2019 |

Multi dimensional Linked Data Exploration with Glue | Scipy 2019 Tutorial | Thomas Robitaille

The Jupyter Interactive Widget Ecosystem | Scipy 2019 Tutorial | Breddels Craig Grout Renou

Escape from Auto manual Testing with Hypothesis | Scipy 2019 Tutorial | Zac Hatfield Dodds

An Overview to Simulations and Generating Synthetic Data Sets | Scipy 2019 Tutorial | Aileen Nielsen

Network Analysis Made Simple | Scipy 2019 Tutorial | Eric Ma

RAPIDS Open GPU Data Science | Scipy 2019 Tutorial | Scopatz Becker Kraus Gama Dessavre

Image Analysis in Python with SciPy and Scikit Image | Scipy 2019 Tutorial | Nunez Iglesias

Xonsh Bringing Python Data Science to your Shell | Scipy 2019 Tutorial | G Forsyth A Scopatz

Complexity Science | Scipy 2019 Tutorial | Allen Downey

Visualize any Data Easily from Notebooks to Dashboards | Scipy 2019 Tutorial | James Bednar

Reproducible Data Science in Python | Scipy 2019 Tutorial | Xu Fei Chandrasekhar Ramakrishnan

Hands on Satellite Imagery Analysis | Scipy 2019 Tutorial | Samapriya Roy Sara Safavi

Dashboarding with Jupyter Notebooks Voila and Widgets | SciPy 2019 | M Breddels and M Renou

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In the Scientific Computing with Python Certification, you'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data structures, networking, relational databases .

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