Python for Data Science: The Ultimate Beginners' Guide to Learning Python Data Science Step by Step (Williams Ethan)(Paperback)

Python for Data Science: The Ultimate Beginners' Guide to Learning Python Data Science Step by Step (Williams Ethan)(Paperback)

Coding for Beginners: Using Python (Stowell Louie)(Spiral bound)

A beginner's guide to coding using Python, one of the most popular computer languages. Step-by-step instructions show how to get started and write a simple program. New commands are introduced with examples and colourful pictures so by the end of the book, readers can code games, drawings and more

Machine Learning with Python for Everyone (Fenner Mark)(Paperback)

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can

Data Management in R: A Guide for Social Scientists (Elff Martin)(Paperback)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

Python for Data Science for Dummies (Mueller John Paul)(Paperback)

Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming

Computer Coding Python Projects for Kids - A Step-by-Step Visual Guide (Vorderman Carol)(Paperback / softback)

Data Management in R - A Guide for Social Scientists (Elff Martin)(Pevná vazba)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

Python Programming: A Step by Step Guide from Beginner to Advance (Eddison Leonard)(Paperback)

The Official ACT Science Guide (ACT)(Paperback)

The ACT official subject guides are a step by step guide for outlining the preparation for the ACT section tests. These prep guides provide students a concept-based outline for the subjects they plan to focus on. Each one of the official guides, is an efficient prep tool comprised of the most

Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with Python (Pajankar Ashwin)(Paperback)

Chapter 1: Data Visualization with LeatherChapter Goal: Introduce readers to the data visualization with a simple library leatherNo of pages: 15Sub - Topics: 1. Introduction to leather2. Installation to leather3. Various types of graphs with leatherChapter 2: Introduction to the Scientific Python

Real-World Python: A Hacker's Guide to Solving Problems with Code (Vaughan Lee)(Paperback)

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of

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 Scripting for Arcgis Pro (Zandbergen Paul A.)(Paperback)

The definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro, whether you're new to programming or not. Python Scripting for ArcGIS Pro starts with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial

Practical Data Science with Python 3: Synthesizing Actionable Insights from Data (Varga Ervin)(Paperback)

Chapter 1. Introduction to Data ScienceNo of pages: 10This chapter introduces the reader to data science, and describes the major stages of working with data (collect, explore, preprocess, visualize, predict, and infer knowledge). It sets the common expectations what constitutes a data science

QuickBooks for Beginners: A Step-by-Step Guide to Bookkeeping & Accounting (Power Tim)(Paperback)

Learn How to Get Over Bookkeeping and Accounting with the Ultimate Guide to Mastering the QuickBooks SoftwareCrunching the numbers... Doing the books...Love them or hate them, they're essential to any business if you want to avoid problems with the law and want to know how money moves in your

A Step-By-Step Guide to Qualitative Data Coding (Adu Philip)(Paperback)

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of

Adventures in Python (Richardson Craig)(Paperback)

The complete beginner's guide to Python, for young people who want to start today Adventures in Python is designed for 11-to 15-year olds who want to teach themselves Python programming, but don't know where to start. Even if you have no programming experience at all, this easy to follow format and

Data Science Programming All-In-One for Dummies (Mueller John Paul)(Paperback)

Your logical, linear guide to the fundamentals of data science programming Data science is exploding--in a good way--with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends

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

Python: For Beginners: A Crash Course Guide To Learn Python in 1 Week (Needham Timothy C.)(Paperback)

Become a Python Programming Expert With Ease Python is a simple yet powerful programming language that can enable you to start thinking like a programmer right from the beginning. It is very readable and the stress many beginners face about memorizing arcane syntax typically presented by other

Moving up with Science: Forces and Magnets (Riley Peter)(Paperback / softback)

Moving Up with Science is the ideal next step for learning about

Writing Research Proposals in the Health Sciences: A Step-By-Step Guide (Schneider Zevia)(Paperback)

This is your step-by-step guide on how to write successful research proposals in the health sciences, whether it is for a thesis or dissertation review committee, an ethical review committee or a grant funding committee. Using quantitative, qualitative, and mixed research approaches, follow the

Humanities Data Analysis: Case Studies with Python (Karsdorp Folgert)(Pevná vazba)

A practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials

Learning R: A Step-By-Step Function Guide to Data Analysis (Cotton Richard)(Paperback)

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming