Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

Buy

Get to grips with the most popular Python packages that make data analysis possible

Key Features

  • Explore the tools you need to become a data analyst
  • Discover practical examples to help you grasp data processing concepts
  • Walk through hierarchical indexing and grouping for data analysis

Book Description

Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.

Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python's NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python's pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.

By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.

What you will learn

  • Understand how to install and manage Anaconda
  • Read, sort, and map data using NumPy and pandas
  • Find out how to create and slice data arrays using NumPy
  • Discover how to subset your DataFrames using pandas
  • Handle missing data in a pandas DataFrame
  • Explore hierarchical indexing and plotting with pandas

Who This Book Is For

Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.

Table of Contents

  1. Setting Up a Python Data Analysis Environment
  2. Diving into NumPY
  3. Operations on NumPy Arrays
  4. Pandas Are Fun! What Is pandas?
  5. Arithmetic, Function Application and Mapping with pandas
  6. Managing, Indexing, and Plotting
(HTML tags aren't allowed.)

Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications
Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications

Your one-stop guide to blockchain technology and its business applications

Key Features

  • Assimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications
  • Know in and out of blockchain technology to understand various business use...
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...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...

Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts

A comprehensive guide to exploring software architecture concepts and implementing best practices

Key Features

  • Enhance your skills to grow your career as a software architect
  • Design efficient software architectures using patterns and best practices
  • Learn...
Learn Bitcoin and Blockchain: Understanding blockchain and Bitcoin architecture to build decentralized applications
Learn Bitcoin and Blockchain: Understanding blockchain and Bitcoin architecture to build decentralized applications

Get up and running with the fundamentals of Bitcoin and blockchain

Key Features

  • Learn quick, effective, and easy ways to master blockchain and Bitcoin
  • Understand the impact of decentralization and discover ways to tackle it
  • Explore the future of Bitcoin...
Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python
Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python

Automate data and model pipelines for faster machine learning applications

Key Features

  • Build automated modules for different machine learning components
  • Understand each component of a machine learning pipeline in depth
  • Learn to use different open source...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy