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Hands-On Data Science with Anaconda

You're reading from   Hands-On Data Science with Anaconda Utilize the right mix of tools to create high-performance data science applications

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
 Yan Yan
Author Profile Icon Yan
Yan
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Table of Contents (21) Chapters Close

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. Ecosystem of Anaconda FREE CHAPTER 2. Anaconda Installation 3. Data Basics 4. Data Visualization 5. Statistical Modeling in Anaconda 6. Managing Packages 7. Optimization in Anaconda 8. Unsupervised Learning in Anaconda 9. Supervised Learning in Anaconda 10. Predictive Data Analytics – Modeling and Validation 11. Anaconda Cloud 12. Distributed Computing, Parallel Computing, and HPCC 1. References 2. Other Books You May Enjoy Index

Packages for optimization in Python


From Chapter 6, Managing Packages, we know that to find all Python packages, we go to the website at https://pypi.python.org/. The following table shows a list of Python packages/models related to optimization after we type Optimization as the keyword:

Package

Wt*

Description

heuristic-optimization 0.4.3

7

Heuristics for derivative-free optimization

streams-optimization 1.0.0.dev3

7

A library for LHCb trigger/stripping streams optimization

adjointShapeOptimizationFlux 1.0

6

Python frontend of the adjointShapeOptimizationFoam

bayesian-optimization 0.6.0

6

Bayesian Optimization package

emzed_optimizations 0.6.0

6

 

 

particular optimizations for speeding up emzed

scikits.optimization 0.3

6

A python module for numerical optimization

asprin 3.0.2

5

Qualitative and quantitative optimization in answer set programming

bolib 0.19.11

5

Python library for Bayesian Optimization

brent-search 1.0.32

5

Brent's method for univariate function optimization

clientMOE 0.1

5

Metric Optimization Engine

cma 2...

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