"Fluent Python: Clear, Concise, and Effective Programming" by Luciano Ramalho is a comprehensive textbook focused on the Python programming language. Book is in fantastic condition. About a 1/4" rip on the top of the spine, but other than that it's pristine.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter - GOOD Product Id:109810403X Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc...
O'Reilly Head First Android Development 2nd Ed Book 2015 Griffiths & Griffiths
You are purchasing a Very Good copy of 'Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))'. Condition Notes: Book is in very good condition and may include minimal underlining highlighting.
O'Reilly Learning Rails 5: Rails from the Outside In Paperback 2016 Locklear
You are purchasing a Good copy of 'Evil Geniuses in a Nutshell (In a Nutshell (O'Reilly))'. Condition Notes: Book is considered to be in good or better condition. Hard cover books may show signs of wear on the spine, cover or dust jacket.
Learning Python, 5th Edition - Paperback By Lutz, Mark - GOOD Product Id:1449355730 Condition:USED_GOOD Notes:Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc...
"Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and..." is an advanced textbook published by O'Reilly Media in 2020. Written by Peter Bruce, Peter Gedeck, and Andrew Bruce, this book covers essential concepts in statistics for data scientists, focusing on computer science, data processing, and mathematical analysis. With 360 pages of content in English, this trade paperback is designed for adult and further education levels, making it a valuable resource for those looking to deepen their understanding of practical statistics in the field of data science.
But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.
