Get Ebooks Matheson Gas Data Book
The Proposed book is a new edition of the Matheson Gas Data book which is widely used in industrial facilities and research laboratories. The most recent edition sold 18,000 copies. The purpose of the new edition would provide expanded coverage of gases, and to cover more gases. The expanded coverage would encompass physical, thermodynamic, environmental, transport, safety, and health and related properties of gases of major importance. It will also cover known applications, government regulations, and first aid information. This book will be of interest to both the safety and engineering professional who use compressed gas.
Hardcover: 982 pages
Publisher: McGraw-Hill Professional; 7 edition (June 25, 2001)
Language: English
ISBN-10: 0071358544
ISBN-13: 978-0071358545
Product Dimensions: 9 x 2.3 x 11 inches
Shipping Weight: 5.7 pounds
Average Customer Review: Be the first to review this item
Best Sellers Rank: #3,316,741 in Books (See Top 100 in Books) #101 in Books > Engineering & Transportation > Engineering > Energy Production & Extraction > Fossil Fuels > Natural Gas #1035 in Books > Engineering & Transportation > Engineering > Energy Production & Extraction > Fossil Fuels > Petroleum #2275 in Books > Textbooks > Engineering > Chemical Engineering
Natural Gas Trading: From Natural Gas Stocks to Natural Gas Futures- Your Complete, Step-by-Step Guide to Natural Gas Trading Matheson Gas Data Book Data Analytics: What Every Business Must Know About Big Data And Data Science (Data Analytics for Business, Predictive Analysis, Big Data) Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business. Leveraging the Power of Data Analytics, Data ... (Hacking Freedom and Data Driven) (Volume 2) Analytics: Data Science, Data Analysis and Predictive Analytics for Business (Algorithms, Business Intelligence, Statistical Analysis, Decision Analysis, Business Analytics, Data Mining, Big Data) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications) The Data Model Resource Book, Vol. 2: A Library of Data Models for Specific Industries The Data Model Resource Book, Vol. 1: A Library of Universal Data Models for All Enterprises The Data Model Resource Book, Vol. 3: Universal Patterns for Data Modeling (Volume 3) Rsmeans Assemblies Cost Data: Assemblies Cost Data Data and Goliath: The Hidden Battles to Capture Your Data and Control Your World Efficient SAP R/3-Data Archiving: How to Handle Large Data Volumes Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data Professional Java Data: RDBMS, JDBC, SQLJ, OODBMS, JNDI, LDAP, Servlets, JSP, WAP, XML, EJBs, CMP2.0, JDO, Transactions, Performance, Scalability, Object and Data Modeling Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles, Second Edition Swift: Programming, Master's Handbook; A TRUE Beginner's Guide! Problem Solving, Code, Data Science, Data Structures & Algorithms (Code like a PRO in ... engineering, r programming, iOS development) The Functional Approach to Data Management: Modeling, Analyzing and Integrating Heterogeneous Data
