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PyData uploaded a video 1 month agoIgnacio Elola: Python as a Framework for Analytics and Growth Hacking - Duration: 34 minutes.
Python is the perfect language to build with little effort a framework to control and hack the growth of a company. Being import.io data scientist for the last 2 years, I've come across many differ... -
PyData uploaded a video 1 month ago
Philipp Pahl: Peachbox: Agile and Accessible Big ETL Framework - Duration: 1 hour, 11 minutes.
Today data is generated in greater volumes than ever before. In addition to vast amounts of legacy data, new data sources such as application logs or social media complicate data-processing challen... -
PyData uploaded a video 1 month ago
Brian Carter: Lifecycle of Web Text Mining: Scrape to Sense - Duration: 27 minutes.
Pillreports.net is an on-line database of reviews of Ecstasy pills. In consumer theory illicit drugs are experience goods, in that the contents are not known until the time of consumption. Websites... -
PyData uploaded a video 1 month ago
Miguel Fernando Cabrera: Processing Hotel Reviews with Python - Duration: 46 minutes.
In this talk I will present experiences of using a combination of Hadoop and Python to build pipelines that process large amount of textual hotel reviews in more than a dozen a languages. In parti... -
PyData uploaded a video 1 month ago
Alejandro Correa Bahnsen: CostCla a cost-sensitive classification library - Duration: 31 minutes.
Classification, in the context of machine learning, deals with the problem of predicting the class of a set of examples given their features. Traditionally, classification methods aim at minimizing... -
PyData uploaded a video 1 month ago
Thomas Pfaff: Advanced Data Storage - Duration: 1 hour, 19 minutes.
In this tutorial we will give an introduction to two advanced data storage formats. HDF5 and NetCDF were designed to efficiently store the results of supercomputing applications like climate model ... -
PyData uploaded a video 1 month ago
Peter Hoffmann: Indroduction to the PySpark DataFrame API - Duration: 44 minutes.
Apache Spark is a computational engine for large-scale data processing. It is responsible for scheduling, distribution and monitoring applications which consist of many computational task across ma... -
PyData uploaded a video 1 month ago
Peadar Coyle: Probabilistic Programming in Sports Analytics - Duration: 23 minutes.
Probabilistic Programming and Bayesian Methods are called by some a new paradigm. There are numerous interesting applications such as to Quantitative Finance.I'll discuss what probabilistic program... -
PyData uploaded a video 1 month ago
Felix Wick: From the Life of a Data Scientist - Duration: 53 minutes.
T. Davenport and DJ Patil have pointed out already in 2012 that Data Scientists are working in the “sexiest job of the 21st century”. Although there are plenty of imaginations what a Data Scientist... -
PyData uploaded a video 1 month ago
Panel Discussion - Duration: 39 minutes.
Panel Discussion -
PyData uploaded a video 1 month ago
Sylvain Bellemare: Learning to use Docker for development - Duration: 1 hour, 10 minutes.
A very simple tutorial, ideally aimed at beginners, for both Docker and scientific Python, who wish to learn the basics to be able to create and manage their own development environments, using Doc... -
PyData uploaded a video 1 month ago
Lea Böhm: What people need to be happy at work & how you can influence a diverse team environment - Duration: 32 minutes.
A lot of studies have investigated lately how happy and engaged people are at work. They found that a big influencer is the team atmosphere and the relationship you have with your boss. Being engag... -
PyData uploaded a video 1 month ago
Jose Luis Lopez Pino: Lessons learned from applying PyData to our marketing organization - Duration: 32 minutes.
For all e-commerce sites, marketing is a big part of the business and marketing efficiency and effectiveness are critical to their success. Companies must make many data-driven decisions in order t... -
PyData uploaded a video 1 month ago
Trent McConaghy: Rewiring the Internet for Ownership with Big Data and Blockchains - Duration: 56 minutes.
When it comes to ownership, the internet is broken. Artists, designers, and other creatives can share their work easily on the internet, but keeping it as "theirs" and get fairly compensated has pr... -
PyData uploaded a video 1 month ago
Paul Balzer: Running, walking, sitting or biking? - Motion prediction with acceleration and rotation - Duration: 22 minutes.
A lot of devices can measure acceleration and rotationrates. With the right features, Machine Learning can predict, weather you are sitting, running, walking or going by bike. This talk will show y... -
PyData uploaded a video 1 month ago
Mike Müller: Measure, don't Guess - How to find out if and where to optimize - Duration: 2 hours, 32 minutes.
Python is a great language. But it can be slow compared to other languages for certain types of tasks. If applied appropriately, optimization may reduce program runtime or memory consumption consid... -
PyData uploaded a video 1 month ago
Various: Lightning Talks - Duration: 48 minutes.
Various -
PyData uploaded a video 1 month ago
Paul Balzer: Analysing and predicting inner-city parking space occupancy - Duration: 40 minutes.
The city of Dresden has an excellent traffic monitoring and guiding system (VAMOS), which also measures the occupancy rate of city parking spaces. The data is pushed to the city's website, from whi... -
PyData uploaded a video 1 month ago
Ronert Obst: Smart cars of tomorrow: real-time driving patterns - Duration: 39 minutes.
In recent years, the adoption of electric cars has resulted in a desperate need from carmakers for accurate range prediction. In addition, fuel efficiency is of increasing concern due to today’s ev... -
PyData uploaded a video 1 month ago
Alexander Kagoshima: A Data Science Operationalization Framework - Duration: 31 minutes.
In a lot of our Data Science customer engagements at Pivotal, the question comes up how to put the developed Data Science models into production. Usually, the code produced by the Data Scientist is... -
PyData uploaded a video 1 month ago
Tobias Kuhn, Nakul Selvaraj: Real-Time Monitoring of Distributed Systems - Duration: 29 minutes.
Instrumentation has seen explosive adoption on the cloud in recent years. With the rise of micro-services we are now in an era where we measure the most trivial events in our systems. At Trademob, ... -
PyData uploaded a video 1 month ago
Valentin Haenel: Blosc - Duration: 33 minutes.
Blosc is a fast metacodec with two main features: the shuffle filter and threading. The shuffle filter, which is implemented using SSE2 instructions, allows reordering bytes to reduce the complexit... -
PyData uploaded a video 1 month ago
Christine Doig: Interactive Data Visualizations with Python - Duration: 1 hour, 54 minutes.
Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. It provides elegant, concise construction of novel graphics in the style of D3.js without havi... -
PyData uploaded a video 1 month ago
Claas Abert: Scientific computing with Python: Tools for the solution of continuous problems - Duration: 43 minutes.
Although not exactly a classical big data application, the numerical treatment of partial differential equations (PDEs) has very similar characteristics: By spatial discretization, the continuous p... -
PyData uploaded a video 1 month ago
Matthew Rocklin: pyData Berlin 2015: keynote - Duration: 48 minutes.
Matthew Rocklin -
PyData uploaded a video 2 months ago
Bugra Akyildiz - A Thorough Machine Learning Pipeline via Scikit Learn - Duration: 1 hour, 11 minutes.
PyData Dallas 2015
Scikit-Learn is one of the most popular machine learning library written in Python, it has quite active community and extensive coverage for a number of machine learning algorith... -
PyData uploaded a video 2 months ago
Chou-han Yang - Briefly - A Python DSL to Scale Complex Mapreduce Pipelines - Duration: 1 hour, 9 minutes.
PyData Dallas 2015
"Briefly, a open-source project designed to tackle the challenge of simultaneously handling the flow of Hadoop and non-Hadoop tasks. In short, Briefly is a Python-based, meta-pro... -
PyData uploaded a video 2 months ago
Andy R. Terrel and Christine Doig - Building Python Data Applications with Blaze and Bokeh - Duration: 1 hour, 56 minutes.
PyData Dallas 2015
"We use the Blaze and Bokeh libraries to interactively query and visualize large datasets through Python. Blaze provides a consistent query experience on data ranging from a smal... -
PyData uploaded a video 2 months ago
Rajat Arya and Yucheng Low - Building Machine Learning Applications in Python - Duration: 1 hour, 25 minutes.
PyData Dallas 2015
In this hands-on tutorial, we walk you through the steps to build and deploy a sentiment classifier in Python. The task is to learn to classify reviews from the Yelp! reviews dat... -
PyData uploaded a video 2 months ago
Daniel Lathrop - Python for the News - Duration: 37 minutes.
PyData Dallas 2015
Presentation on the ways The Dallas Morning News is using Python in newsgathering and presentation, including our major effort to train reporters to code in Python (20% of the st... -
PyData uploaded a video 2 months ago
Chengkai Li - Data Science for Computational Journalism - Duration: 36 minutes.
PyData Dallas 2015
Politicians make claims of "facts" all the time. Oftentimes there are false and misleading claims on important topics, due to careless mistakes and even deliberate manipulation o... -
PyData uploaded a video 2 months ago
Vivian Zhang - Python Data Analytics Workshop - NumPy, pandas, matplotlib, and SciPy - Duration: 2 hours, 11 minutes.
PyData Dallas 2015 -
PyData uploaded a video 2 months ago
Phillip Cloud - Blaze in the Real World - Duration: 26 minutes.
PyData Dallas 2015
Blaze is a library for harnessing the power of big data technologies. We show motivating use cases illustrating why you might want to use blaze, including a comparison of out-of-... -
PyData uploaded a video 2 months ago
Cliff Click - H₂O Machine Learning - Duration: 44 minutes.
PyData Dallas 2015
H2O – Now with a Python interface! It’s open-source Machine Learning, in-memory big-data clustered computing – Math At Scale.H2O has the Worlds Fastest Logistic Regression (by a ... -
PyData uploaded a video 2 months ago
Andy R. Terrel - Python in Scientific Research - Duration: 40 minutes.
PyData Dallas 2015
Whether you modelling an earthquake, hurricane, or medical device, Python is there. The language has become so ubiquitous in scientific research that it is the go to tool. In thi... -
PyData uploaded a video 2 months ago
James Powell - Integration With the Vernacular the NumPy Approach - Duration: 39 minutes.
PyData Dallas 2015
The `NumPy` model of computation in Python has proven to be one of the most successful ways to integrate high-performance computational code into an application. This talk offers... -
PyData uploaded a video 2 months ago
Peter Wang - State of the Py, 2015 - Duration: 47 minutes.
PyData Dallas 2015
View slides for this presentation here:
http://www.slideshare.net/misterwang/pydata-texas-2015-ke... -
PyData uploaded a video 2 months ago
Paul Ingram - Calling Distributed Python from Inside SQL - Duration: 36 minutes.
PyData Dallas 2015
"We set out to build a fully scalable distributed SQL platform but quickly realized that use cases at that scale were much more complex that simply joining data and easy to diges... -
PyData uploaded a video 2 months ago
Kyle Kelley - To the Future with Jupyter - Duration: 9 minutes, 57 seconds.
PyData Dallas 2015
IPython has given us novel ways of interacting with our code, data, documentation, and reporting. It has enabled collaboration over common open source formats and APIs. Jupyter i... -
PyData uploaded a video 2 months ago
Paul Joireman - Assimilation - From C to Python - Duration: 35 minutes.
PyData Dallas 2015
We all learned to program in a particular way, either you started out using Basic, Pascal, C, Fortran anyone. If you're younger maybe Java was your first language or maybe you ca... -
PyData uploaded a video 2 months ago
Jason Vertrees - Introducing the World of Commercial Real Estate Data to App Developers - Duration: 38 minutes.
PyData Dallas 2015
Much of the $15.2T commercial real estate (CRE) world is closed and clandestine. This has held the industry back from adopting technological progress, creating inefficiencies acr... -
PyData uploaded a video 2 months ago
Rajat Arya - Deploying scikit learn Models in Production - Duration: 42 minutes.
PyData Dallas 2015
Machine Learning should be everywhere. Applications today have the opportunity to leverage all the data being collected about users' interactions and behavior. Unfortunately mach... -
PyData uploaded a video 2 months ago
Volodymyr Kazantsev - Beyond t tests - How to Conclude an Online Experiment Using Python - Duration: 29 minutes.
PyData Dallas 2015
"A/B testing and control-group testing are very well-known techniques to learn about the market and consumer preferences. In reality, however, lots of companies make incorrect co... -
PyData uploaded a video 2 months ago
Meltem Ballan - Transitioning an idea from Academia to Commercialization A Startup Story - Duration: 42 minutes.
PyData Dallas 2015
Meltem will share her story with Terastructure from the inception of the idea to the realization of a commercially viable product in partnership with the University of North Caro... -
PyData uploaded a video 2 months ago
Bryan Van De Ven - Bokeh Tutorial - Duration: 1 hour, 29 minutes.
PyData Dallas 2015 -
PyData uploaded a video 2 months ago
Yucheng Low - SFrame - A Scalable, Out of Core Dataframe for Machine Learning - Duration: 32 minutes.
PyData Dallas 2015
Machine learning is hard. Machine learning at scale is even harder. Scaling up machine learning requires not just advances in algorithm implementation, but also more scalable dat... -
PyData uploaded a video 2 months ago
Kyle Maxwell - Using Python to Fight Cybercrime - Duration: 27 minutes.
PyData Dallas 2015 -
PyData uploaded a video 2 months ago
Chenyi Hu - A Python Module for Data Analytics with Interval Computing - Duration: 40 minutes.
PyData Dallas 2015
Interval computing can play an important role in data analysis. In this talk, the speaker will introduce interval computation and its applications in data analysis. A Python modu... -
PyData uploaded a video 2 months ago
Prabhu Saiprabhu "Sai" - Hashtag Buddies - Duration: 46 minutes.
PyData Dallas 2015
We have been seeing increasing use of hashtags in social media. How can businesses leverage the power of hashtags? By opting to use specific hashtags, customers may be expressing... -
PyData uploaded a video 2 months ago
Jon Riehl - Python is for the Curious - Duration: 42 minutes.
PyData Dallas 2015
"What is it you are curious about? If you are more curious about your data than your tools, then Python is for you. If you are more curious about your tools than your data, then ...
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