Search results for "Health Analytics with Python"
Items we need to order for you
Data Analytics and Big Data
The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.
R 5,795.00
R 894.67
R 482.00
R 1,254.00
R 480.59
R 1,984.00
R 518.00
R 1,411.00
R 718.00
R 1,003.45
R 1,278.69
Data Analysis with Stata
Explore the big data field and learn how to perform data analytics and predictive modelling in STATAAbout This Book• Visualize and analyse data in STATA to devise a business strategy• Learn STATA programming and predictive modeling• Discover how you can become a data scientist with the power of STATAWho This Book Is ForThis book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application.What You Will Learn• Perform important statistical tests to become a STATA data scientist• Be guided through how to program in STATA• Implement logistic and linear regression models• Visualize and program the data in STATA• Analyse survey data, time series data, and survival data• Perform database management in STATAIn DetailSTATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming.This book covers data management, graphs visualization, and programming in STATA. Starting with an introduction to STATA and data analytics you'll move on to STATA programming and data management. Next, the book takes you through data visualization and all the important statistical tests in STATA. Linear and logistic regression in STATA is also covered.As you progress through the book, you will explore a few analyses, including the survey analysis, time series analysis, and survival analysis in STATA. You'll also discover different types of statistical modelling techniques and learn how to implement these techniques in STATA.Style and approachThis book is a hands-onguide to STATA programming and statistical modelling providing many STATA code examples and taking. You through the working of the code in detail.
R 1,335.00
R 559.49
R 695.00
R 458.00
Hacker's Guide to Scaling Python
Python is an excellent programming language that allows to write applications quickly. But how do you make those applications scale for thousands of users and requests? It takes years of practice, research, trial and errors to build experience and knowledge along the way. Simple questions such as ""How do I make my code faster?,"" ""How do I make sure there is no bottleneck?"" or ""How do I run this application on several computers?"" cost hours to find satisfying answers. Without enough background on the topic, you'll never be sure that any solution you'll come up with will be correct. In The Hacker's Guide to Scaling Python, you will learn how to solve these issues. This book provides guidelines, tips and best practice on how to build high performing Python applications. Adding a few interview of experts on the subject, you will learn how you can distribute your Python application so it can process thousands of requests.
R 1,596.00
R 2,849.85
Python for Engineering and Scientific Computing
It's finally here-your guide to Python for engineers and scientists, by an engineer and scientist! Get to know your development environments and the key Python modules you'll need: NumPy, SymPy, SciPy, Matplotlib, and VPython. Understand basic Python program structures and walk through practical exercises that start simple and increase in complexity as you work your way through the book. With information on statistical calculations, Boolean algebra, and interactive programming with Tkinter, this Python guide belongs on every scientist's shelf!Highlights include:1) Program structures2) NumPy3) Matplotlib4) SymPy5) SciPy6) VPython7) Tkinter8) Numerical calculations9) Statistical calculations10) Boolean algebra
R 1,367.00
Metaprogramming with Python
A practical approach to metaprogramming with real-world examples that enables the development of advanced frameworks, libraries, and applications using PythonKey FeaturesLearn applied metaprogramming through a simple step-by-step approachWork with easily understandable examples and explanations that take you deep into the theory of metaprogrammingGet practical experience in writing reusable code with real-world examplesBook DescriptionEffective and reusable code makes your application development process seamless and easily maintainable. With Python, you will have access to advanced metaprogramming features that you can use to build high-performing applications. The book starts by introducing you to the need and applications of metaprogramming, before navigating the fundamentals of object-oriented programming. Next, you will learn about simple decorators, work with metaclasses, and later focus on introspection and reflection. You'll also delve into generics and typing before defining templates for algorithms. As you progress, you will understand your code using abstract syntax trees and explore method resolution order. This Python book also shows you how to create your own dynamic objects before structuring the objects through design patterns. Finally, you will learn simple code-generation techniques along with discovering best practices and eventually building your own applications. By the end of this learning journey, you'll have acquired the skills and confidence you need to design and build reusable high-performing applications that can solve real-world problems.What you will learnUnderstand the programming paradigm of metaprogramming and its needRevisit the fundamentals of object-oriented programmingDefine decorators and work with metaclassesEmploy introspection and reflection on your codeApply generics, typing, and templates to enhance your codeGet to grips with the structure of your code through abstract syntax trees and the behavior through method resolution orderCreate dynamic objects and generate dynamic codeUnderstand various design patterns and best practicesWho this book is forIf you are an intermediate-level Python programmer looking to enhance your coding skills by developing reusable and advanced frameworks, then this book is for you. Basic knowledge of Python programming will help you get the most out of this learning journey.
R 1,596.00
R 397.00
Non-Programmers Tutorial For Python 2 and 3
This book is a tutorial for the Python 2 and 3 programming language designed for someone with no programming experience. All the examples work in Python 2.6 and Python 3.
R 414.02
Non-Programmers Tutorial For Python 3
This book is a tutorial for the Python 3 programming language designed for someone with no programming experience. Starting from no programming knowledge, the book teaches how to create programs with examples, explanations and exercises.
R 383.19
R 642.03
R 531.00
R 3,041.46
R 682.81
Non-programmers Tutorial for Python
This book is a tutorial for the Python 2 programming language designed for someone with no programming experience. (Note that there are other editions of this book for Python 2.6+ and for Python 3+)
R 422.67
R 1,099.00
Big Data Processing with Apache Spark
Apache Spark is a popular open-source big-data processing framework that s built around speed, ease of use, and unified distributed computing architecture. Not only it supports developing applications in different languages like Java, Scala, Python, and R, it s also hundred times faster in memory and ten times faster even when running on disk compared to traditional data processing frameworks. Whether you are currently working on a big data project or interested in learning more about topics like machine learning, streaming data processing, and graph data analytics, this book is for you. You can learn about Apache Spark and develop Spark programs for various use cases in big data analytics using the code examples provided. This book covers all the libraries in Spark ecosystem: Spark Core, Spark SQL, Spark Streaming, Spark ML, and Spark GraphX.
R 651.00
Proceedings of the 8th Python in Science Conference
The proceedings of the 8th annual Python for Scientific Computing conference.
R 1,679.14
