Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Python Data Analytics: With Pandas, NumPy, and Matplotlib

Buy
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. 

This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation

Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.

What You'll Learn
  • Understand the core concepts of data analysis and the Python ecosystem
  • Go in depth with pandas for reading, writing, and processing data
  • Use tools and techniques for data visualization and image analysis
  • Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch
Who This Book Is For


Experienced Python developers who need to learn about Pythonic tools for data analysis
(HTML tags aren't allowed.)

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

  • Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
  • Implement CNN models on image classification, transfer learning, Object Detection,...
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs

Build effective RESTful APIs for enterprise with design patterns and REST framework's out-of-the-box capabilities

Key Features

  • Understand advanced topics such as API gateways, API securities, and cloud
  • Implement patterns programmatically with easy-to-follow...

Solidity Programming Essentials: A beginner's guide to build smart contracts for Ethereum and blockchain
Solidity Programming Essentials: A beginner's guide to build smart contracts for Ethereum and blockchain

Learn the most powerful primary programming language for writing smart contracts and discover how to write, deploy, and test smart contracts in Ethereum

Key Features

  • Get up and running with the Solidity programming language
  • Use Solidity as a scripting language to build...
React and  React Native: Complete guide to web and native mobile development with React, 2nd Edition
React and React Native: Complete guide to web and native mobile development with React, 2nd Edition

Build applications for web and native mobile platforms with React, JSX, Redux, and GraphQL

Key Features

  • Explore how functional web development works with React, Redux, and React Native
  • Build apps with unified architecture with Facebook's React, Relay, and GraphQL
  • ...
Mastering Numerical Computing with NumPy: Master scientific computing and perform complex operations with ease
Mastering Numerical Computing with NumPy: Master scientific computing and perform complex operations with ease

Enhance the power of NumPy and start boosting your scientific computing capabilities

Key Features

  • Grasp all aspects of numerical computing and understand NumPy
  • Explore examples to learn exploratory data analysis (EDA), regression, and clustering
  • Access...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy