Tuning a complex application for today’s heterogeneous platforms requires an understanding of the application itself as well as familiarity with tools that are available for assisting with analyzing where in the code itself to look for bottlenecks. The process for optimizing the performance of an application, in general, requires the following steps that are most likely applicable for a wide range of applications.
Search Results for: python
Python: Unlocking the Power of Data Science & Machine Learning
November 30, 2017 by Leave a Comment
Python stands out as the language best suited for all areas of the data science and machine learning framework. Designed as a flexible general purpose language, Python is widely used by programmers and easily learnt by statisticians. Download the new guide from ActiveState that provides a summary of Python’s attributes, as well as considerations for implementing the programming language to drive new insights and innovation from big data.
Optimizing Machine Learning with Tensorflow, ActivePython and Intel
November 1, 2017 by Leave a Comment
Through the use of machine learning, unique insights become valuable decision points. As developers consider the varied approaches to leverage machine learning, the role of tools comes to the forefront. Listen to this Gigaom Research webinar that takes a look at the opportunities and challenges that machine learning brings to the development process.
Book Review: Python Data Science Handbook
October 17, 2017 by
I recently had a need for a Python language resource to supplement a series of courses on Deep Learning I was evaluating that depended on this widely used language. As a long-time data science practitioner, my language of choice has been R, so I relished the opportunity to dig into Python to see first hand how the other side of the data science world did machine learning. The book I settled on was “Python Data Science Handbook: Essential Tools for Working with Data” by Jake VanderPlas.
Using Python to Drive New Insights and Innovation from Big Data
July 20, 2017 by
In a recent white paper “Management’s Guide – Unlocking the Power of Data Science & Machine Learning with Python,” ActiveState – the Open Source Language Company – provides a summary of Python’s attributes in a number of important areas, as well as considerations for implementing Python to drive new insights and innovation from big data.
Unlocking the Power of Data Science & Machine Learning with Python
July 14, 2017 by Leave a Comment
The time is now for companies to get started on data science initiatives if they have not already. By addressing these needs early on, data science teams can focus on unlocking the power of their data and driving innovation forward. To learn more download this white paper.
TickSmith Releases a Python Tool for the New Generation of Financial Data Scientists
May 26, 2017 by
TickSmith, a leader in Big Data applications, released an open-source Python API feature to obtain data from its flagship TickVault big data platform. Based on Hadoop technology, TickVault processes, stores, and analyzes massive amounts of capital market data. The addition of the Python API toolkit to TickVault provides data scientists fine-grained access to historical exchange […]
1010data Delivers New Software Development Kits, Including Python SDK
May 20, 2017 by
1010data, Inc., offering the only integrated platform that combines self-service data management and analytics at scale with ready-to-use data, announced the release of its improved application development Software Development Kits (SDKs), designed to support application development and integration across enterprise operations.
Should You Use Python or R for Your Programming Language?
April 19, 2017 by
In this contributed article, technology writer and blogger Kayla Matthews discusses the age-old “R vs. Python” debate that has circulated around in the data science community for the past few years. “When it comes to choosing a programming language, there really are only two choices if you’re working with data. For data science, machine learning, statistics, IoT technology and even automation, the two best languages to use are Python and R.”
Ranked: 15 Python packages for Data Science
March 21, 2017 by Leave a Comment
At The Data Incubator we pride ourselves on having the latest data science curriculum. Much of our course material is based on feedback from corporate and government partners about the technologies they are looking to learn. This report is the second in a series analyzing data science related topics. We thought it would be useful to the data science community to rank and analyze a variety of topics related to the profession in a simple, easy to digest cheat sheet, ranking, or report. It’s our way of practicing what we teach.
