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120343829
Python for Data Analytics: Python for Data Analytics: A Beginners Guide for Learning Python Data Analytics from A-Z (Paperback)
Nº de artículo:
120343829
USD 39
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Detalles de producto
- Learn data analysis using Python with this easy to follow beginners guide. It covers all aspects of processing, manipulation, crunching, and cleaning data using Python programming language. It has been designed to prepare you for: analyzing datacreating relevant data visualizationscarrying out statistical analyses for large dataestimating the upcoming future trends by using current dataand lots more!This book will help you learn the various parts of Python programming language, its libraries, and scientific computation using Python. Learn to practically solve extensive sets of problems related to data analysis.Python is on par with other programming languages like MATLAB, Stata, R, SAS, and others when it comes to data analysis and data visualization. Python's rich set of libraries (mainly Pandas) has grown rapidly in recent years and is considered one of the best among its competitors for tasks related to data manipulation. When combined with Python's own internal solidity, as a general purpose programming language, we can say that it is an excellent choice to build data centric web applications.You will learn how to use the essential Python libraries required for data analysis like NumPy, Pandas, matplotlib, IPython, and SciPy. Each one of them performs a particular functionality for data analysis and you will be surprised at how easy it is.So what are you waiting for? Now is your chance to learn hands on Python with ease. Click the BUY NOW button to get started on your Python journey.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2019 |
| Pages | 186 |
| Series title | Python for Data Analytics |
| Number in series | 1 |
| Edition | Standard Edition |
| Publisher | Independently Published |
| Original languages | English |
| Language | English |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Assembled product dimensions (l x w x h) | 9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm) |
| Assembled product weight | 1 lb (450 grams) |
| Bisac subject heading | Computers |
DESCRIPCIÓN DEL PRODUCTO
Python for Data Analytics: Python for Data Analytics: A Beginners Guide for Learning Python Data Analytics from A-Z (Paperback)
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Preguntas y respuestas de los clientes
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Pregunta:
What level of Python experience do I need to start this book?
Respuesta: No prior experience is required; it's designed for complete beginners. -
Pregunta:
Will I learn to visualize data effectively?
Respuesta: Yes, the book covers data visualization techniques using essential libraries. -
Pregunta:
Is this book suitable for professionals as well?
Respuesta: Absolutely, it equips both beginners and professionals with the skills needed for data analysis.
Alex Root All Books Editorial Review
Python for Data Analytics: A Beginners Guide for Learning Python Data Analytics from A-Z (Paperback) is a comprehensive non-fiction book designed to guide readers through the essentials of Python programming and data analytics. With 186 pages, this standard edition provides a structured approach suitable for general educational levels, making it an excellent choice for newcomers. The book caters to those looking to develop skills in computing and internet functionalities, featuring a perfect binding for durability. Readers appreciate the clear explanations and practical examples, which make complex concepts accessible, making it a great starting point for anyone eager to delve into the world of data analytics.
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- Comprehensive guide suitable for beginners
- Clear explanations of complex concepts
- Practical examples enhance learning
- Ideal for general educational levels
- Durable perfect binding for regular use
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- No collectible value noted for this edition
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características y beneficios
- Comprehensive beginner's guide for data analysis with Python.
- Covers data processing, manipulation, and visualization.
- Learn essential Python libraries like NumPy and Pandas.
- Prepare for statistical analyses and trend estimation.
- Hands-on approach to solving real-world data problems.
- Perfect for anyone looking to harness Python for data-centric applications.
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