Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis

Anthony Ojeda, Phuong Vo.T.H

Getting Started with Simulink. Written by an experienced engineer, this book will help you utilize the great user-friendly features of Simulink to advance your modeling, testing, and interfacing skills. Packed with illustrations and step-by-step walkthroughs

Luca Zamboni

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization

Tristan Guillevin

ggplot2 Essentials. Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs

Donato Teutonico

Go Design Patterns. Best practices in software development and CSP

Mario Castro Contreras

Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web

Vincent Smith

Google Analytics dla marketingowców. Wydanie III

Martyna Zastrożna

Google Analytics. Integracja i analiza danych

Daniel Waisberg

Google Analytics od podstaw. Analiza wpływu biznesowego i wyznaczanie trendów

Mark Edmondson

Google Analytics w biznesie. Poradnik dla zaawansowanych. Wydanie II

Martyna Zastrożna

Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services

Arvind Ravulavaru

Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs

Gary Hutson, Matt Jackson

Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

Ravindranatha Anthapu

Guerrilla Data Analysis Using Microsoft Excel. Overcoming Crap Data and Excel Skirmishes

MrExcel's Holy Macro! Books, Oz du Soleil, Bill Jelen

Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters

Aman Singh