Optimization in Python — Peephole by Chetan Ambi via @gitconnected

A brief introduction to Python’s Peephole optimization technique.

I think this could save you time if you can learn how to use and understand it properly. Definitely worth reading.

Making Python Programs Blazingly Fast by @Martin_Heinz_ in @TDataScience

 Let’s look at the performance of our Python programs and see how to make them up to 30% faster!

Some great tips and lots of code examples too.

WEBINAR: Demystifying AI & ML: Making Your Data Talk - 31 October 2019

Data Science Central Webinar Series Event Demystifying AI & ML: Making Your Data Talk Join us for the latest DSC Webinar on October 31st, 2019 Learn the basics of AI and Machine Learning and understand how to improve your organization’s experience and data optimization with the power of Augmented Intelligence. Provided will be an overview of an AI strategy and you will learn about our roadmap in AI, Natural language and Machine learning. In this latest Data Science Central webinar we will review: Basics of AI and machine learning Importance of Augmented Intelligence vs Artificial Intelligence A unique approach to AI that allows you to make the most of your data and AI investments Featured Speaker: Vinay Kapoor, Director, Product Management -- Qlik Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Demystifying AI & ML: Making Your Data Talk Date:  Thursday, October 31st, 2019 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Adding Optimisation to Your Analytics Toolbox - 14 May 2019

Data Science Central Webinar Series Event

Adding Optimization to Your Analytics Toolbox Join us for the latest DSC Webinar on May 14th, 2019 Mathematical optimization, specifically Mixed Integer Programming (MIP), is a technology that is used to solve a large variety of problems within multiple industries, including supply chain planning, electrical power generation and distribution, computational finance, sports scheduling, and many more. This powerful technology is complementary to Machine Learning and should be a part of every data scientist’s analytics toolbox. In this latest Data Science Central webinar, you will learn: The basics of optimization and MIP How to identify optimization problems within your organization When to use MIP vs Artificial Intelligence (AI) when developing a prescriptive analytics solution for your business problem How MIP can be used as a complementary technique to Machine Learning We will present real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization. We will also provide you with next steps on how to get started with optimization as well as available resources. Speakers: Dr. Russel Halper, Principal -- End-to-End Analytics Dr. Gwyneth Butera, Sr. Support Engineer -- Gurobi Optimization Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Adding Optimization to Your Analytics Toolbox Date:  Tuesday, May 14th, 2019 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now