یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Chapter 1: Why Python -- Chapter 2: Python Types and Formatting -- Chapter 3: pandas Library -- Chapter 4: Indexing and GroupBy -- Chapter 5: Data Management -- Chapter 6: pandas Readers and Writers -- Chapter 7: Date and Time -- Chapter 8: saspy Module -- Appendix A: Generating the Tickets DataFrame -- Appendix B: Many-to-Many Use Case
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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 Youll Learn: Quickly master Python for data analysis without using a trial-and-error approach Understand the similarities and differences between Base SAS and Python Better determine which language to use, depending on your needs Obtain quick results.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Springer Nature
شماره انبار
com.springer.onix.9781484250013
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Python for SAS Users : A SAS-Oriented Introduction to Python.
شماره استاندارد بين المللي کتاب و موسيقي
9781484250006
عنوان به منزله موضوع
موضوع مستند نشده
SAS (Computer file)
موضوع مستند نشده
SAS (Computer file)
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Python (Computer program language)
موضوع مستند نشده
Python (Computer program language)
مقوله موضوعی
موضوع مستند نشده
COM051360
موضوع مستند نشده
UMX
موضوع مستند نشده
UMX
رده بندی ديویی
شماره
005
.
13/3
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
73
.
S27
نشانه اثر
B48
2019eb
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )