Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib (Johansson Robert)(Paperback)

Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib (Johansson Robert)(Paperback)

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects,

Scientific Computing with Python - Second Edition: High-performance scientific computing with NumPy, SciPy, and pandas (Fhrer Claus)(Paperback)

Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter - Wes McKinney

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively

Numerical Python in Astronomy and Astrophysics: A Practical Guide to Astrophysical Problem Solving (Schmidt Wolfram)(Paperback)

Chapter 1. Introduction.- Chapter 2. Getting Started with Python.- Chapter 3. Computing and Displaying Data.- Chapter 4. Functions and Numerical Methods.- Chapter 5. Solving Differential Equations.- Chapter 6. Astronomical Data

Learn Quantum Computing with Python and Q#: A Hands-On Approach (Kaiser Sarah C.)(Paperback)

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum

Principles of Parallel Scientific Computing: A First Guide to Numerical Concepts and Programming Methods (Weinzierl Tobias)(Paperback)

New insight in many scientific and engineering fields is unthinkable without the use of numerical simulations running efficiently on modern computers. The faster we get new results, the bigger and accurate are the problems that we can solve. It is the combination of mathematical ideas plus

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Igual Laura)(Paperback)

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel

Programming with Python for Social Scientists (Brooker Phillip)(Paperback)

As data become 'big', fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these

Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback)

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science

Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks (Villalobos Alva Jalil)(Paperback)

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and

Python Object-Oriented Programming - Fourth Edition: Build robust and maintainable object-oriented Python applications and libraries (Lott Steven F.)(Paperback)

A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniquesKey Features: Build an intuitive understanding of object-oriented design, from introductory to mature programsLearn the ins and outs of Python syntax, libraries, and

Data Science with Python and Dask (Daniel Jesse)(Paperback)

Summary Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your

101 Inclusive and Sen Science and Computing Lessons: Fun Activities and Lesson Plans for Children Aged 3 - 11 (Brewer Claire)(Paperback)

Create an inclusive classroom with these fun and accessible activities for science and computing lessons. Each lesson is tailored to objectives for children working below National Curriculum levels and includes a learning objective, the resources needed, the main activity, a plenary and a

Cloud Computing Applications and Techniques for E-Commerce (Gochhait Saikat)(Pevná vazba)

Discusses the implementation of data and cloud technology within the fields of business and information management. The book features research on various topics, including content delivery networks, virtualization, and software

Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues (Baka Benjamin)(Paperback)

Implement classic and functional data structures and algorithms using Python Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o

Python and R for the Modern Data Scientist: The Best of Both Worlds (Scavetta Rick J.)(Paperback)

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths

Introduction to Machine Learning with Python: A Guide for Data Scientists (Mller Andreas C.)(Paperback)

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning

Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit (Pattanayak Santanu)(Paperback)

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic

Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes (Oosterlee Cornelis W.)(Paperback)

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers

Introductory Probability and Statistics: Applications for Forestry and Natural Sciences (Kozak Robert A.)(Paperback)

All students, practitioners and researchers in forestry and related disciplines need a good grounding in statistics and probability. This need is increasing as techniques for gathering and analyzing large amounts of data are becoming commonplace. This special revised edition of this unique textbook

Building Android Apps in Python Using Kivy with Android Studio: With Pyjnius, Plyer, and Buildozer (Gad Ahmed Fawzy Mohamed)(Paperback)

Start building Python-based Android applications using Kivy with Android Studio. Through in-depth examples, this book teaches you everything you need to create your first Android application in Python and publish on Google Play.Building Android Apps in Python Using Kivy with Android Studio takes

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python (Tatsat Hariom)(Paperback)

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies

Python Data Persistence: With SQL and NOSQL Databases (Lathkar Malhar)(Paperback)

Designed to provide an insight into the SQL and MySQL database concepts using python. Key Features A practical approach Ample code examples A Quick Start Guide to Python for beginners Description Python is becoming increasingly popular among data scientists. However, analysis and visualization

Computer Programming Crash Course: 7 Books in 1- Coding Languages for Beginners: C++, C#, SQL, Python, Data Science for Python, Raspberry pi and Ardui (McKinnon Julian James)(Paperback)

Unleash your programming potential and master coding with this incredible 7-book bundle Are you looking for the PERFECT introduction into the world of coding? Want to uncover the secrets of Python, SQL, C++ and so much more? Are you looking for the ultimate guide to getting started with