Python Bundle 2nd Edition
Hands-On Data Analysis with Pandas
Get to grips with pandas a versatile and high-performance Python library for data manipulation, analysis, and discovery
- Perform efficient data analysis and manipulation tasks using pandas
- Apply pandas to different real-world domains using step-by-step demonstrations
- Get accustomed to using pandas as an effective data exploration tool
Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.
Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data.
By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.
What you will learn
- Understand how data analysts and scientists gather and analyze data
- Perform data analysis and data wrangling in Python
- Combine, group, and aggregate data from multiple sources
- Create data visualizations with pandas, matplotlib, and seaborn
- Apply machine learning (ML) algorithms to identify patterns and make predictions
- Use Python data science libraries to analyze real-world datasets
- Use pandas to solve common data representation and analysis problems
- Build Python scripts, modules, and packages for reusable analysis code
Who this book is for
This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.
About this Bundle
Python helps programmers to focus on key functionalities by taking away common programming tasks - and with the Python Bundle 2nd Edition, you'll have the skills and knowledge at your disposal to make this an essential tool in your arsenal.
In this tiered collection of up to 25 eBooks, 20 of which are new-to-bundle, you'll learn the basics of Python and how to implement it into your projects with ease - as well as how to use it to its full potential at a more advanced level.
Choose Tier One and you'll receive five eBooks. Get accustomed to using pandas as an effective data exploration tool with Hands-On Data Analysis with Pandas; get up-to-speed with building your own neural networks from scratch; write cleaner and maintainable code with the help of sample apps with Flask Framework Cookbook - Second Edition; and more.
Opt for Tier Two and you'll own an additional eight Python-based eBooks. Set up and model solutions, investigate malware, and prevent it from occurring in future with Mastering Malware Analysis; build state-of-the-art infrastructure for modeling, visualization, trading, and more with Mastering Python for Finance - Second Edition; program an IoT device to retrieve weather data using a RESTful API with MicroPython Cookbook; and much more.
But, if you choose to go for Tier Three of the Python Bundle 2nd Edition, you'll receive all of the above plus another 12 eBooks. Apply the power of deep learning to complex reasoning tasks by building a Game AI with Hands-On Deep Learning for Games; bridge your data analysis with the power of programming, complex algorithms, and AI with Data Analysis with Python; learn how to write, assemble, and build Qt application from the command line with Getting Started with Qt 5; and much more!
The eBooks included in this bundle are available in EPUB, MOBI and PDF formats.