0 ratings
Python Data Analytics: With Pandas, NumPy, and Matplotlib
genuine image
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Item #: 20503299

Python Data Analytics: With Pandas, NumPy, and Matplotlib

87% of respondents would recommend this to a friend

Item #: 20503299

MVR 1193

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from US

0 ratings Write a review
In stock
us Imported from USA store

QTY:

Order now and get it around Thursday, October 08
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
U-Care Warranty:
None
Select a Plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.

What Stands Out

Comprehensive Coverage
This book offers an in-depth exploration of essential data analytics tools like Pandas, NumPy, and Matplotlib, providing a thorough understanding for beginners and advanced users alike.
Practical Examples
Real-world projects and examples strengthen learning, allowing readers to apply data analytics concepts and techniques effectively. This hands-on approach fosters skill mastery and boosts confidence.
Updated Content
The 2nd edition features updated information and modern techniques, ensuring readers are equipped with the latest practices for data analysis, enhancing their relevance in a rapidly evolving field.

Product Details

Explore the latest Python tools for data acquisition and analysis. Learn NumPy, matplotlib, scikit-learn, pandas, OpenCV, and more. Enhance your data processing skills with Python at Ubuy Maldives.
  • Explore the latest Python tools for data acquisition and analysis
  • Covers scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn
  • Fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries
  • Demonstrates using Python for data processing, management, and information retrieval with multiple examples
  • Learn to apply Python for data analysis, handwriting recognition, and extending graphical capabilities
  • Targeted at experienced Python developers seeking to learn Pythonic tools for data analysis
Publisher Apress
Publication date September 28, 2018
Edition 2nd ed.
Language English
Print length 588 pages
ISBN-10 1484239121
ISBN-13 978-1484239124
Item Weight 2.2 pounds (1 kg)
Dimensions 7.01 x 1.34 x 10 inches (17.8 x 3.4 x 25.4 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    This book is perfect for data analysts looking to enhance their skills using Python libraries for effective data manipulation.

  • Students

    Ideal for students pursuing courses in data science or analytics who need a comprehensive guide on Python data tools.

  • Professionals Transitioning

    Great for professionals transitioning from other fields to data analytics, providing foundational knowledge and application examples.

Not Suitable For
  • Novice Programmers

    Beginners with no programming experience might find the concepts challenging without prior knowledge of Python fundamentals.

Product Description

Python Data Analytics: With Pandas, NumPy, and Matplotlib

About This Item

Enhance your data analysis skills with Python Data Analytics: With Pandas, NumPy, and Matplotlib 2nd ed. Edition. Whether you're a seasoned data analyst or just starting out, this book provides comprehensive coverage of the latest Python tools and techniques to help you tackle the ever-expanding world of data acquisition and analysis. This revised edition is fully updated, offering new content on social media data analysis, image analysis with OpenCV, and deep learning libraries.

The book takes you through the fundamentals of scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. Each chapter is packed with multiple examples, showcasing how to effectively work with each library. At the core of this book is the coverage of pandas, a powerful library known for its high-performance, easy-to-use data structures and tools for data manipulation. Author Fabio Nelli expertly demonstrates how to harness the power of Python for data processing, management, and information retrieval. But the learning doesn't stop there.

Python Data Analytics, Second Edition takes you beyond the basics. Later chapters explore advanced topics such as handwriting recognition and extending graphical capabilities with the JavaScript D3 library. You'll discover how to efficiently store, access, and analyze various data sets, ranging from sales data and investment data to medical data and web page usage. Fabio Nelli, an IT Scientific Application Specialist at IRBM Science Park in Italy, brings his extensive experience as a computer consultant and expertise in information technologies applied to Life Sciences to the table.

With an Organic Chemistry degree and years of experience in automation systems, Nelli's knowledge shines through in this invaluable reference. Whether you're looking to further your career in data analysis or simply gain a deeper understanding of Python's data analytics capabilities, Python Data Analytics, Second Edition is the perfect companion. Get your copy today and unlock the power of Python for data analysis.

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What is Python Data Analytics focused on?

    Answer: Python Data Analytics emphasizes the use of popular libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It covers essential skills in data preparation, cleaning, and exploration, which are crucial for building data-driven insights and making informed decisions. This book is highly valuable for both beginners and seasoned data professionals as it provides practical examples and scenarios that help illustrate the application of Python in real-world analytics.
  • Question: Who is the target audience for this book?

    Answer: The target audience for 'Python Data Analytics' includes data scientists, analysts, students, and anyone interested in enhancing their programming skills with Python for data work. Whether you are new to programming or have experience in a different language, this book serves as an accessible introduction while also providing depth for advanced users looking to sharpen their analytics skills. The practical projects and examples cater to different skill levels, ensuring that all readers can gain valuable insights.
  • Question: What can I learn from this book?

    Answer: In 'Python Data Analytics', you'll learn how to effectively utilize Python libraries such as Pandas for data manipulation, NumPy for numerical analysis, and Matplotlib for data visualization. The book covers various techniques for data analysis, including aggregating data, handling missing values, and generating insightful visualizations. By the end, you'll be equipped to carry out data analysis tasks in various domains, making it easier to extract meaningful information from data sets.
  • Question: What prerequisites should I have before reading this book?

    Answer: While 'Python Data Analytics' is approachable for beginners, having a basic understanding of Python programming is beneficial. Familiarity with fundamental concepts like variables, loops, and functions will enhance your learning experience. Knowledge of statistical concepts is also advantageous, as it will help you better understand data analysis methods discussed in the book. However, the book provides enough context for readers to grasp the essential information even without prior expertise in these areas.
  • Question: How does this book compare to other data analytics resources?

    Answer: This book stands out from other resources due to its practical focus on using Python libraries that professionals frequently rely on. Unlike theoretical texts, 'Python Data Analytics' offers real-world examples and projects, making learning more tangible and effective. Additionally, it combines a coherent learning structure with a reader-friendly approach, ensuring that readers can follow complex topics without getting overwhelmed. Overall, its combination of theory, practical examples, and hands-on projects offers a compelling learning experience.
  • Question: Can I apply the skills learned from this book in my job?

    Answer: Absolutely! The skills acquired in 'Python Data Analytics' are directly applicable to various real-world jobs in data analysis, business intelligence, and related fields. Employers value proficiency in data manipulation and visualization, and being skilled in Python significantly enhances your employability. You can use the insights gained from this book to make data-driven decisions, generate reports, and develop analytical strategies tailored to your organization’s needs.
  • Question: Are there exercises or projects included in the book?

    Answer: Yes, 'Python Data Analytics' includes numerous hands-on exercises and projects that allow you to apply your learning actively. These practical applications help solidify your understanding of the concepts discussed in each chapter. By working on real datasets, you gain exposure to common challenges and the chance to develop problem-solving skills in data analysis, making the content even more relevant and engaging.
  • Question: What are the key Python libraries covered in this book?

    Answer: The key Python libraries covered in 'Python Data Analytics' include Pandas for data manipulation, NumPy for numerical computations, and Matplotlib for data visualization. Each library plays a pivotal role in the data analytics process, allowing you to manipulate data frames, perform complex calculations, and create meaningful visual representations of your data, all essential components in building a comprehensive analytics toolkit.
  • Question: Is this book suitable for self-study?

    Answer: Yes, 'Python Data Analytics' is highly suitable for self-study. Its clear structure, step-by-step explanations, and practical examples make it easy for readers to learn at their own pace. Each chapter builds logically upon the previous ones, and the inclusion of review questions and exercises enhances your understanding. This self-contained approach enables you to explore data analytics independently while still having access to valuable resources within the book.
  • Question: Where can I buy Python Data Analytics: With Pandas, NumPy, and Matplotlib 2nd ed. Edition in Maldives?

    Answer: You can buy 'Python Data Analytics: With Pandas, NumPy, and Matplotlib 2nd ed. Edition' on Ubuy in Maldives. Ubuy offers a convenient shopping experience, allowing you to explore options for obtaining this essential resource on data analytics. Visit Ubuy's website to find the book and make your purchase today!

Intelligence & Semantics Editorial Review

The Python Data Analytics: With Pandas, NumPy, and Matplotlib 2nd ed. Edition serves as a comprehensive reference for beginners looking to learn about data analytics with Python. The book covers the major libraries and techniques that make Python an attractive tool for data analysis, including NumPy, Pandas, and Matplotlib. The author provides plenty of examples and explains potential errors that users may encounter. However, some readers find the book to be unnecessarily long and repetitive. They also criticize the large font size and difficult layout, which makes the text difficult to read and understand. While the book covers important topics, some readers feel that it lacks exploration of the mathematical power of NumPy and matrix work. Overall, the Python Data Analytics book may be useful for beginners seeking a systematic introduction to data analytics with Python. However, readers should be aware of potential issues with the book's length, repetition, and presentation.

Customer Reviews & Ratings

1 customers ratings
  • 5 Star
    100%
  • 4 Star
    0%
  • 3 Star
    0%
  • 2 Star
    0%
  • 1 Star
    0%

Review this product

Share your thoughts with other customers

Pros

  • Provides a systematic introduction to data analytics with Python
  • Covers major libraries and techniques, including NumPy, Pandas, and Matplotlib
  • Offers plenty of examples and explains potential errors

Cons

  • Unnecessarily long and repetitive

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 reviews
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Secure Checkout Global Delivery Easy Returns Genuine Products

Product Price History

Important information

  • Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
  • Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.

MVR 1193

Order now and get it around Thursday, October 08

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.