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Hands-On Data Analysis with Pandas

2021-04-29 Computers
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Release : 2021-04-29
Genre : Computers
Kind : eBook
Book Rating : 917/5 ( reviews)

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Book Synopsis Hands-On Data Analysis with Pandas by : Stefanie Molin

Download or read book Hands-On Data Analysis with Pandas written by Stefanie Molin. This book was released on 2021-04-29. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasks Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Apply pandas to different real-world domains with the help of step-by-step examples Make the most of pandas as an effective data exploration tool Book DescriptionExtracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, get started with machine learning, and work effectively with the 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 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. This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Solve common data representation and analysis problems using pandas Build Python scripts, modules, and packages for reusable analysis code Who this book is for This book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. Data scientists looking to implement pandas in their machine learning workflow will also find plenty of valuable know-how as they progress. You’ll find it easier to follow along with this book if you have a working knowledge of the Python programming language, but a Python crash-course tutorial is provided in the code bundle for anyone who needs a refresher.

Python For Data Analysis

2020-06-17
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Release : 2020-06-17
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Kind : eBook
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Book Synopsis Python For Data Analysis by : Craig Berg

Download or read book Python For Data Analysis written by Craig Berg. This book was released on 2020-06-17. Available in PDF, EPUB and Kindle. Book excerpt: Are you having difficulty in your data analysis processes? And are looking for a way to simplify information gathering, processing and analysis of data flow with speed and accuracy- with Python but don't know how to get started, or much about this programming language? If you've answered YES, keep reading.... You Are About To Dip Your Feet Into The World Of Data Analysis By Leveraging The Power Of The Most Preferred Programming Language For The Job, Python! We're living in a digital era where technology is getting more advanced by the day, data volumes are swelling and information handling is becoming increasingly tiresome, time-consuming and expensive. Any tool that has a significant number of data-oriented features and packages, that can speed up and simplify data processing would be more than a life-saver to any data scientist or business enterprise churning large chunks of data that needs cleaning and better visualization. But you know what, Python offers that and more! I would say that it is its stunning ecosystem and simplicity that makes it the best. Or its cross-functionality, object-orientation that is widely known to streamline complex data sets. Perhaps I'd also mention its dynamic semantics, its entire slew of libraries, heavy support or readability that we all enjoy! But even with all that, I still wouldn't be able to describe exactly how much Python jibes well with data science or analysis. But chances are you have an idea of how awesome Python is in data analysis, but have been wondering: How does Python work? How would it assist me in data analysis? What if I have never programmed before? Do I still stand a chance? What should I get started with? How do I use packages like Numpy, Pandas and Matplotlib to analyze data? If I am right, then this is exactly where you need to be. This book will give you answers to these and more questions as it shows you how easy data analysis work can be with a platform that has built in data analysis tools and features to do all the heavy lifting. More precisely, you'll learn: What data science is and why python is ideal for its exploration How to install and set up Python on Mac, Windows and Linux What anaconda virtual environment looks like and why it's important The basics of Python programming to refresh your mind How to approach and explore data analysis with Numpy How to approach and explore data analysis with Pandas How to go about data wrangling with Python How to conduct data visualization with Matplotlib ...And much more! It's no secret that the success of any business correlates directly with the ability to extract knowledge and insights from data to make effective strategic decisions, make progress and remain competitive. Python has enjoyed international acclamation for efficient data handling so you can rest assured that you have the right tool. All you need to do is spend a few hours with this simple beginners' book to understand how to get started. Even if you've never used python for anything else before other than simple programming, this book will usher you into this new world of possibilities with python. Don't be left out.... Scroll up and click Buy Now With 1-Click or Buy Now to get started!

Python for Data Analysis

2019-02
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Release : 2019-02
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Kind : eBook
Book Rating : 663/5 ( reviews)

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Book Synopsis Python for Data Analysis by : Samuel Samuel Burns

Download or read book Python for Data Analysis written by Samuel Samuel Burns. This book was released on 2019-02. Available in PDF, EPUB and Kindle. Book excerpt: If you buy a new print edition of this book (or purchased one in the past), you can buy the Kindle Edition for FREE. Print edition purchase must be sold by Amazon!You want to learn Python for data analysis using NumPy, Pandas, and IPython, and you don't know how to start? You don't need a big boring and expensive textbook. This book is the best one for everyone.Order your book Now!! Why this book is the best guide for everyone? Here are the reasons:The author has explored everything about python for data analysis using pandas, NumPy, Ipython and Matplotlib libraries from the basics. A simple language has been used. Many examples have been given, both theoretically and programmatically. Screenshots showing program outputs have been added. The book is written chronologically, in a step-by-step manner. Book Objectives: The Aims and Objectives of the Book: To help you understand why you should choose Python for data analysis tasks. To help you know the various data analysis libraries supported by Python and how to use them. To help you know how to analyze your business data and draw meaningful insights for effective decision making. To equip you with data analysis skills using Python programming language. To help you know where data analysis is applied today and how to use it in your everyday life. Who is this Book is for? : Here are the target readers for this book: Anybody who is a complete beginner to data analysis with Python or data analysis in general. Anybody who wants to advance their data analysis skills with Python programming language. Anybody who wants to know how to use data analysis for the benefit of their business or brand. Professionals in data science, computer programming, computer scientist. Professors, lecturers or tutors who are looking to find better ways to explain python for data analysis to their students in the simplest and easiest way. Students and academicians, especially those focusing on python programming, computer science,neural networks, machine learning, and deep learning. What do you need for this Book? : You are required to have installed the following on your computer: Python 3.X Numpy Pandas Matplotlib The Author guides you on how to install and configure the rest of the Python libraries that are required for data analysis. What is inside the book? : Why Python for Data Analysis? Exploring the Libraries Installation and Setup Using IPython Numpy Arrays and Vectorized Computation Pandas Library Data Wrangling Data Visualization Data Aggregation Working with Time Series Data Applications of Data Analysis Today The content of this book is all about data analysis with Python programming language using NumPy, Pandas, and IPython. It has been grouped into chapters, with each chapter exploring a different aspect of data analysis. The author has provided Python codes for doing different data analysis tasks. All these codes have been tested to ensure they are working correctly. Corresponding explanations have also been provided alongside each piece of code to help the reader understand the meaning of the various lines of the code. In addition to this, screenshots showing the output that each code should return have been given. The author has used a simple language to make it easy even for beginners to understand. The author begins by exploring the basic to the complex tasks in data analysis.

Python for Data Analysis

Computers
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Book Synopsis Python for Data Analysis by : Brady Ellison

Download or read book Python for Data Analysis written by Brady Ellison. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Ready to learn Data Science through Python language? Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike. This book is designed to offer working knowledge of Python and data science and some of the tools required to apply that knowledge. It’s possible that you have little experience with or knowledge of data analysis and are interested in it. You might have some experience in coding. You may have worked with data before and want to use Python. We have made this book in a way that will be helpful to all these groups and more besides in varying ways. This can serve as an introduction to the most current tools and functions of those tools used by data scientists. In this book You will learn: Data Science/Analysis and its applications IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem. Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started. NumPy - a powerful numerical library for Python. You will learn more about its advantages. Get your copy now

Python for Data Analysis

2020-01-05
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Release : 2020-01-05
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Kind : eBook
Book Rating : 611/5 ( reviews)

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Book Synopsis Python for Data Analysis by : Matt Foster

Download or read book Python for Data Analysis written by Matt Foster. This book was released on 2020-01-05. Available in PDF, EPUB and Kindle. Book excerpt: Master the Python Programming Language and Data Analysis With This Comprehensive Guide! If you would like to... Grow your business Get an amazing job Make great business decisions Get rid of the competition... This book will teach you how to achieve all that with the help of data analysis and data science. It might sound like a lot of work, but with proper guidance, you don't need to spend hours bent over textbooks and trying to make sense of a huge amount of information. The goal of this book is not only to learn about data analysis but to go from this theoretical to practical knowledge and application. In other words, you'll be able to complete your own analysis, implement its methods in your business, and master the Python Programming Language! Here's what you'll learn with this book: The importance of data analysis and why every successful business and industry are using it How to process data with tools and techniques used by data scientists The concepts behind Python programming How to use the "data munging" process How to use Python libraries such as Pandas and NumPy for data analysis The importance of data visualization How to create the right analytical algorithm for predicting the market trends How to write codes, and create programs and databases And much more! Even if this is the first time you're hearing about Data Analysis and Python, you can still successfully learn everything this book offers. The instructions are incredibly simple, the methods explained to the finest details and the guides are presented in a step-by-step way. You don't have to be a computer or math expert to develop this skill. You simply need a straightforward guide on the steps you have to take, with clear background explanations to help you understand those steps. If you want to modernize your company and your skills, make the most of your data and become a competitive force on the market, Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now!

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