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Item #:
61623812
Python for SAS Users: A Sas-Oriented Introduction to Python, (Paperback)
Item #:
61623812
BOB 394
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Python for SAS Users provides the most comprehensive set of examples currently available.
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What Stands Out
SAS Integration
Tailored for SAS users, this book seamlessly bridges the gap between SAS and Python, enabling users to leverage their existing skills while exploring Python’s capabilities.
Step-by-Step Approach
Offers a structured approach for learning Python, making it easy for SAS users to grasp concepts without feeling overwhelmed, thereby enhancing their programming proficiency.
Practical Examples
Includes real-world examples and exercises specifically designed for SAS users, ensuring practical application of Python skills in familiar contexts.
Product Details
- Business users familiar with Base SAS programming can now learn Python by example. You will learn via examples that map SAS programming constructs and coding patterns into their Python equivalents. Your primary focus will be on pandas and data management issues related to analysis of data. It is estimated that there are three million or more SAS users worldwide today. As the data science landscape shifts from using SAS to open source software such as Python, many users will feel the need to update their skills. Most users are not formally trained in computer science and have likely acquired their skills programming SAS as part of their job. As a result, the current documentation and plethora of books and websites for learning Python are technical and not geared for most SAS users. Python for SAS Users provides the most comprehensive set of examples currently available. It contains over 200 Python scripts and approximately 75 SAS programs that are analogs to the Python scripts. The first chapters are more Python-centric, while the remaining chapters illustrate SAS and corresponding Python examples to solve common data analysis tasks such as reading multiple input sources, missing value detection, imputation, merging/combining data, and producing output. This book is an indispensable guide for integrating SAS and Python workflows. What You'll Learn Quickly master Python for data analysis without using a trial-and-error approachUnderstand the similarities and differences between Base SAS and PythonBetter determine which language to use, depending on your needsObtain quick results Who This Book Is For SAS users, SAS programmers, data scientists, data scientist leaders, and Python users who need to work with SAS
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2019 |
| Pages | 434 |
| Subgenre | Languages |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Edu focus | Languages |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.92 x 10.00 in (17.8 x 2.3 x 25.4 cm) |
| Assembled product weight | 1.72 lb (780 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
SAS Users Transitioning
Ideal for SAS users wanting to learn Python with a focus on similarities to their existing SAS knowledge.
-
Data Analysts
Perfect for data analysts seeking to enhance their skills by incorporating Python into their data processing toolkit.
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Beginner Programmers
Great for beginners who already know SAS and are looking for a user-friendly introduction to Python programming.
-
Advanced Pythonistas
Not suitable for experienced Python programmers who require advanced concepts beyond a SAS-oriented introduction.
Product Description
About This Item
Introducing "Python for SAS Users: A Sas-Oriented Introduction to Python" - the ultimate guide for SAS users looking to explore and integrate Python into their analytics toolkit. Authored by Randy Betancourt and Sarah Chen, this comprehensive paperback provides a step-by-step introduction to Python programming specifically tailored for SAS users. So whether you are a seasoned SAS professional or just starting out, this book will equip you with the necessary skills to harness the power of Python in your analytics projects. With an ISBN of 9781484250006, this book comes in a convenient paperback format, making it easy to carry and reference as you delve into the world of Python. Published on 2019-09-23, "Python for SAS Users" offers a SAS-oriented approach to learning Python. It covers a range of topics including Python programming for e-commerce, SAS and Python integration, Python data analysis for e-commerce, Python scripting for e-commerce, Python for e-commerce analytics, Python web development for e-commerce, Python machine learning for e-commerce, Python for e-commerce automation, Python frameworks for e-commerce, Python libraries for e-commerce, Python data visualization for e-commerce, Python for e-commerce SEO, Python for e-commerce marketing strategies, Python for e-commerce customer analysis, and Python for e-commerce revenue optimization. If you're looking to level up your analytical prowess and unlock new opportunities in the e-commerce landscape, this book is a must-have.
So why wait? Grab your copy of "Python for SAS Users: A Sas-Oriented Introduction to Python" and take your analytics game to new heights!.
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Customer Questions & Answers
-
Question:
Who is this book intended for?
Answer: This book is designed for SAS users, SAS programmers, data scientists, and Python users who need to integrate with SAS. -
Question:
How does this book help with learning Python?
Answer: It provides practical examples that map SAS programming constructs to their Python equivalents, facilitating an easier learning process. -
Question:
What topics are covered in this book?
Answer: Topics include data analysis, handling missing values, merging data, and transitioning workflows between SAS and Python.
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BOB 394
Order now and get it around Thursday, October 15
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Only 99 items left in stock.
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Features & Benefits
- Learn Python using examples specifically for SAS users.
- Over 200 Python scripts and 75 SAS programs included.
- Focus on pandas and data management for analysis.
- Quickly master Python without trial-and-error.
- Understand the similarities and differences between SAS and Python.
- Ideal for SAS users transitioning to Python for data science.
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