How Long to Read Hands-On Data Analysis with NumPy and pandas

How Long Does it Take to Read Hands-On Data Analysis with NumPy and pandas?

It takes the average reader 2 hours and 49 minutes to read Hands-On Data Analysis with NumPy and pandas by Curtis Miller

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Hands-On Data Analysis with NumPy and pandas?

Hands-On Data Analysis with NumPy and pandas by Curtis Miller is 166 pages long, and a total of 42,496 words.

This makes it 56% the length of the average book. It also has 52% more words than the average book.

How Long Does it Take to Read Hands-On Data Analysis with NumPy and pandas Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 52 minutes to read Hands-On Data Analysis with NumPy and pandas aloud.

What Reading Level is Hands-On Data Analysis with NumPy and pandas?

Hands-On Data Analysis with NumPy and pandas is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Hands-On Data Analysis with NumPy and pandas?

Hands-On Data Analysis with NumPy and pandas by Curtis Miller is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Hands-On Data Analysis with NumPy and pandas by Curtis Miller on Amazon click the button below.