Python for SAS Users: A Sas-Oriented Introduction to Python, Paperback
Python for SAS Users provides the most comprehensive set of examples currently available.
Python for SAS Users: A Sas-Oriented Introduction to Python, Paperback
Artikal br.: 61623812

Python for SAS Users: A Sas-Oriented Introduction to Python, Paperback

Artikal br.: 61623812

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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.

Detalji o proizvodu

Shop Python for SAS Users: A Sas-Oriented Introduction to Python by Randy Betancourt and Sarah Chen in Paperback format. ISBN:9781484250006. Publication Date:2019-09-23. Available at Ubuy Bosnia and Herzegovina Global Store.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateSeptember, 2019
Pages434
SubgenreLanguages
Series titleNo Series
Edition1
PublisherApress
Original languagesEnglish
LanguageEnglish
Edu focusLanguages
Is collectibleN
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle 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 weight1.72 lb (780 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • 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.

  • Beginner Programmers

    Great for beginners who already know SAS and are looking for a user-friendly introduction to Python programming.

Not Suitable For
  • Advanced Pythonistas

    Not suitable for experienced Python programmers who require advanced concepts beyond a SAS-oriented introduction.

OPIS PROIZVODA

Python for SAS Users: A Sas-Oriented Introduction to Python, Paperback

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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