1. Practical Data Science with Jupyter
Authored by Prateek Gupta, this book is a gateway to mastering data science techniques using Jupyter Notebook. Readers learn crucial concepts such as data cleaning, pre-processing, data wrangling, and feature engineering. This title is perfect for anyone looking to enhance their Python skills and dive into machine learning applications. At a price of just $9.95, it offers exceptional value and is an essential addition to your library.
2. Machine Learning Concepts with Python and the Jupyter Notebook Environment
Nikita Silaparasetty’s book is a in-depth exploration of machine learning concepts utilizing Tensorflow 2.0. This title, priced at $46.60, is an ideal resource for data scientists ready to expand their understanding of ML through hands-on examples and engaging exercises. The use of Jupyter Notebook enhances the learning experience by providing a practical environment for coding and experimentation.
3. Jupyter Notebook: A Lined Journal
This unique offering by Ben Ben Creation combines functionality with creativity. This 120-page journal, priced at a mere $4.99, serves not just as a notebook for jotting down ideas and notes but also allows users to integrate their Jupyter coding experiences. It’s the perfect companion for students and professionals alike.
4. Applied Data Science with Python and Jupyter
Alex Galea’s insightful title encourages readers to unlock actionable insights from their data using industry-standard tools. Priced at $29.77, it walks readers through various data science applications and methodologies that are essential for any aspiring data scientist. This book is a treasure trove of information for individuals looking to leverage data effectively.
5. Mastering Python 3 for Machine Learning with Jupyter Notebooks
Brenda Palmer provides a comprehensive guide for mastering Python 3 specifically tailored for machine learning in this $9.99 book. The integration of Jupyter Notebooks in the learning process allows readers not just to learn theory but to engage with practical exercises, cementing their knowledge in machine learning.
6. jupyter notebook python (French Edition)
For French-speaking users, Mary BEL8’s $7 book serves as an excellent resource to learn Jupyter. This edition encapsulates essential concepts, making it easier for non-English speakers to dive into Python programming and data science concepts effectively.
7. The Little Book of Fundamental Indicators
A collaboration by Manuel and Lucas Amunategui, this book introduces powerful market analysis techniques using Python and Jupyter. With a price tag of $16.99, it is a must-read for anybody interested in data analysis and improvement of market decisions.
8. Learning Jupyter
Dan Toomey provides a wonderful read at $31. This book is designed for those who want to harness the full power of the Jupyter Notebook, enhancing their coding skills, and understanding complex data manipulation techniques. The clear layout and enlightening examples make it perfect for beginners and experts alike.
9. Data Science with Jupyter
Prateek Gupta returns with yet another insightful book aimed at mastering Data Science skills through easily digestible Python examples. For just $31.26, novice and advanced users alike can expand their knowledge with practical applications and comprehensive instructions that encourage skill advancement.
10. Docker for Data Science
Joshua Cook’s title focuses on building scalable infrastructure around Jupyter Notebook. For $53.39, this book is a powerful resource for data scientists looking to implement Docker with Jupyter, making it a critically important read in today’s expanding data landscape.
