Leanpub, 2023-07-08. — 167 р. The aim of this book is to teach you coding in Python while developing computational thinking—that is, the way we think when coding. The order of topics is designed to stimulate and strengthen skills such as logic, problem solving, and clean code writing. Python syntax is explained extensively in a simple but precise way, focusing on concepts and...
Packt Publishing, 2018. — 255 p. Getting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. In this book, you'll learn every aspect of the standard data workflow process, including...
Packt Publishing, 2018. — 196 p. — ASIN B07DNJ9KKL. Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Key Features Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts like...
Packt Publishing, 2018. — 196 p. — ASIN B07DNJ9KKL. Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Key Features Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts like...
Packt Publishing, 2018. — 196 p. — ASIN B07DNJ9KKL. !Code files only Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Key Features Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine...
BPB Publications, 2021. — 360 p. This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become...
BPB Publications, 2019. — 322 p. — ISBN: 978-9388511377 (paperback). Modern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with just enough knowledge of Python in conjunction with skills to use powerful tool...
2nd ed. — Packt Publishing, 2018. — 282 p. — ISBN: 1789137403. Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter Key Features Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles Leverage big data tools and datasets with different Python packages Explore...
2nd ed. — Packt Publishing, 2018. — 282 p. — ISBN: 1789137403. Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter Key Features Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles Leverage big data tools and datasets with different Python packages Explore...
Packt Publishing, 2018. — 238 p. Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to...
Packt Publishing, 2018. — 238 p. Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to...
Packt Publishing, 2018. — 238 p. Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to...
Packt Publishing, 2017. — 242 p. Your one-stop guide to building an efficient data science pipeline using Jupyter Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using...
Packt Publishing, 2017. — 242 p. Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want...
Packt Publishing, 2016. — 305 p. Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation,...
Packt Publishing, 2016. — 305 p. Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation,...
Packt Publishing, 2016. — 305 p. Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation,...
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