Murach S Python For Data Analysis

Author : Scott McCoy
Publisher : Unknown
Page : 235 pages
File Size : 42,9 Mb
Release : 2021-08
Category : Electronic
ISBN : 1943872767

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Murach's Python for Data Analysis by Scott McCoy Pdf

Data is collected everywhere these days, in massive quantities. But data alone does not do you much good. That is why data analysis -- making sense of the data -- has become a must-have skill in the fields of business, science, and social science. But it is a tough skill to acquire. The concepts are challenging, and too many books and online tutorials treat only parts of the total skillset needed. Now, though, this book draws all the essential skills together and presents them in a clear and example-packed way. So you will soon be applying your programming skills to complex data analysis problems, more easily than you ever thought possible. In terms of content, this book gets you started the right way by using Pandas for data analysis and Seaborn for data visualisation, with JupyterLab as your IDE. Then, it helps you master descriptive analysis by teaching you how to get, clean, prepare, and analyse data, including time-series data. Next, it gets you started with predictive analysis by showing you how to use linear regression models to predict unknown and future values. And to tie everything together, it gives you 4 real-world case studies that show you how to apply your new skills to political, environmental, social, and sports analysis. At the end, you will have a solid set of the professional skills that can lead to all sorts of new career opportunities. Sound too good to be true? Download a sample chapter for free from the Murach website and see for yourself how this book can turn you into the data analyst that companies are looking for.

Author : Joel Murach,Michael Urban
Publisher : Unknown
Page : 564 pages
File Size : 48,8 Mb
Release : 2021-04
Category : Electronic
ISBN : 1943872740

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Murach's Python Programming (2nd Edition) by Joel Murach,Michael Urban Pdf

If you want to learn how to program but dont know where to start, this is the right book and the right language for you. From the first page, our self-paced approach will help you build competence and confidence in your programming skills. And Python is the best language ever for learning how to program because of its simplicity and breadthtwo features that are hard to find in a single language. But this isnt just a book for beginners! Our self-paced approach also works for experienced programmers, helping you learn Python faster and better than youve ever learned a language before. By the time youre through, you will have mastered the key Python skills that are needed on the job, including those for object-oriented, database, and GUI programming. To make all of this possible, section 1 presents an 8-chapter course that will get anyone off to a great start with Python. Section 2 builds on that base by presenting the other essential skills that every Python programmer should have. Section 3 shows you how to develop object-oriented programs, a critical skillset in todays world. And section 4 shows you how to apply all of the skills that youve already learned as you build database and GUI programs for the real world.

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
Page : 676 pages
File Size : 49,7 Mb
Release : 2017-09-25
Category : Computers
ISBN : 9781491957615

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Python for Data Analysis by Wes McKinney Pdf

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Author : SCOTT. MCCOY
Publisher : Unknown
Page : 0 pages
File Size : 55,6 Mb
Release : 2024
Category : Electronic
ISBN : 1943873178

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MURACH'S PYTHON FOR DATA SCIENCE. by SCOTT. MCCOY Pdf

Author : Suresh Kumar Mukhiya,Usman Ahmed
Publisher : Packt Publishing Ltd
Page : 342 pages
File Size : 53,8 Mb
Release : 2020-03-27
Category : Computers
ISBN : 9781789535624

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Hands-On Exploratory Data Analysis with Python by Suresh Kumar Mukhiya,Usman Ahmed Pdf

Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandas Key FeaturesUnderstand the fundamental concepts of exploratory data analysis using PythonFind missing values in your data and identify the correlation between different variablesPractice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python packageBook Description Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization. You’ll start by performing EDA using open source datasets and perform simple to advanced analyses to turn data into meaningful insights. You’ll then learn various descriptive statistical techniques to describe the basic characteristics of data and progress to performing EDA on time-series data. As you advance, you’ll learn how to implement EDA techniques for model development and evaluation and build predictive models to visualize results. Using Python for data analysis, you’ll work with real-world datasets, understand data, summarize its characteristics, and visualize it for business intelligence. By the end of this EDA book, you’ll have developed the skills required to carry out a preliminary investigation on any dataset, yield insights into data, present your results with visual aids, and build a model that correctly predicts future outcomes. What you will learnImport, clean, and explore data to perform preliminary analysis using powerful Python packagesIdentify and transform erroneous data using different data wrangling techniquesExplore the use of multiple regression to describe non-linear relationshipsDiscover hypothesis testing and explore techniques of time-series analysisUnderstand and interpret results obtained from graphical analysisBuild, train, and optimize predictive models to estimate resultsPerform complex EDA techniques on open source datasetsWho this book is for This EDA book is for anyone interested in data analysis, especially students, statisticians, data analysts, and data scientists. The practical concepts presented in this book can be applied in various disciplines to enhance decision-making processes with data analysis and synthesis. Fundamental knowledge of Python programming and statistical concepts is all you need to get started with this book.

Author : Kennedy Behrman
Publisher : Pearson
Page : 816 pages
File Size : 44,7 Mb
Release : 2021-10-12
Category : Computers
ISBN : 9780136624318

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Foundational Python for Data Science by Kennedy Behrman Pdf

Learn all the foundational Python you'll need to solve real data science problems Data science and machine learning--two of the world's hottest fields--are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once you've learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Master Google colab notebook Data Science programming Manipulate data with popular Python libraries such as: pandas and numpy Apply Python Data Science recipes to real world projects Learn functional programming essentials unique to Data Science Access case studies, chapter exercises, learning assessments, comprehensive Jupyter based Notebooks, and a complete final project Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more--all created with colab (Jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.

Author : Mary Delamater,Joel Murach
Publisher : Mike Murach and Associates, Incorporated
Page : 0 pages
File Size : 46,6 Mb
Release : 2018-09
Category : Computers
ISBN : 1943872279

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Murach's C++ Programming by Mary Delamater,Joel Murach Pdf

In the beginning, C++ was a hard language to learn because it required programmers to master low-level techniques to work with memory. Over the years, C++ has evolved to provide higher-level techniques that make it much easier to write effective code. But most C++ books havent evolved with the language. Until now. Now, this book uses modern C++ to get you off to a fast start, and then builds out your coding and OOP skills to the professional level. At that point, it also covers older techniques so youll be able to maintain the vast amount of legacy code thats out there, as well as work with embedded systems that dont support the newer techniques.

Author : Joel Murach
Publisher : Mike Murach and Associates, Incorporated
Page : 0 pages
File Size : 54,9 Mb
Release : 2015
Category : Computers
ISBN : 1890774936

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Murach's Android Programming by Joel Murach Pdf

If you know how to program in Java, this is the first book you should buy for learning how to develop Android apps the way the pros do; it'll save you a lot of time and frustration.

Author : Brady Ellison
Publisher :
Page : 128 pages
File Size : 47,6 Mb
Release : 2024-07-03
Category : Computers
ISBN : 8210379456XXX

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Python for Data Analysis by Brady Ellison Pdf

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

Author : Joel Murach
Publisher : Mike Murach & Associates
Page : 0 pages
File Size : 49,7 Mb
Release : 2015
Category : Database design
ISBN : 1890774820

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Murach's MySQL by Joel Murach Pdf

This practical, hands-on tutorial/reference/guide to MySQL is perfect for beginners, but it also works for experienced developers who are not getting the most from MySQL. As you would expect, this book shows how to code all of the essential SQL statements for creating and working with a MySQL database. But beyond that, this book also shows how to design a database, including how to use the graphical MySQL Workbench to create an EER model. It shows how to take advantage of relatively new MySQL features such as foreign keys, transactions, stored procedures, stored functions, triggers, and events. It even presents a starting set of skills for a database administrator (DBA), including how to secure and back up databases. And like all Murach books, it uses the distinctive "paired pages" format, which breaks the material into manageable skills to speed up both learning and reference. A great help for MySQL users at any level.

Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 51,8 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368

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R for Data Science by Hadley Wickham,Garrett Grolemund Pdf

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Author : Dr. Avishek Pal,Dr. PKS Prakash
Publisher : Packt Publishing Ltd
Page : 238 pages
File Size : 40,6 Mb
Release : 2017-09-28
Category : Computers
ISBN : 9781788294195

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Practical Time Series Analysis by Dr. Avishek Pal,Dr. PKS Prakash Pdf

Step by Step guide filled with real world practical examples. About This Book Get your first experience with data analysis with one of the most powerful types of analysis—time-series. Find patterns in your data and predict the future pattern based on historical data. Learn the statistics, theory, and implementation of Time-series methods using this example-rich guide Who This Book Is For This book is for anyone who wants to analyze data over time and/or frequency. A statistical background is necessary to quickly learn the analysis methods. What You Will Learn Understand the basic concepts of Time Series Analysis and appreciate its importance for the success of a data science project Develop an understanding of loading, exploring, and visualizing time-series data Explore auto-correlation and gain knowledge of statistical techniques to deal with non-stationarity time series Take advantage of exponential smoothing to tackle noise in time series data Learn how to use auto-regressive models to make predictions using time-series data Build predictive models on time series using techniques based on auto-regressive moving averages Discover recent advancements in deep learning to build accurate forecasting models for time series Gain familiarity with the basics of Python as a powerful yet simple to write programming language In Detail Time Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations. This book describes special mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights. Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python. The book starts with descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python. The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python. Style and approach This book takes the readers from the basic to advance level of Time series analysis in a very practical and real world use cases.

Author : Fabio Nelli
Publisher : Apress
Page : 350 pages
File Size : 53,6 Mb
Release : 2015-08-25
Category : Computers
ISBN : 9781484209585

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Python Data Analytics by Fabio Nelli Pdf

Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language. You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics. This book is an invaluable reference with its examples of storing and accessing data in a database; it walks you through the process of report generation; it provides three real world case studies or examples that you can take with you for your everyday analysis needs.

Author : Joel Murach,Ray Harris
Publisher : Mike Murach & Associates
Page : 872 pages
File Size : 54,6 Mb
Release : 2014-12-01
Category : Computers
ISBN : 1890774790

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Murach's PHP and MySQL by Joel Murach,Ray Harris Pdf

PHP and MySQL are two of today's most popular, open-source tools for server-side programming. That means there's a continuing demand for web developers who know how to use PHP and MySQL at the professional level. And with this book, you can become one of them! In fact, in just the first 6 chapters, you will create a database-driven website that implements the MVC pattern, the way the best professionals do. Then, the rest of the book lets you build on that base to develop a full set of professional skills.

Author : Gregory Jarpey,Scott McCoy
Publisher : Butterworth-Heinemann
Page : 206 pages
File Size : 40,9 Mb
Release : 2017-05-17
Category : Business & Economics
ISBN : 9780128036822

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Security Operations Center Guidebook by Gregory Jarpey,Scott McCoy Pdf

Security Operations Center Guidebook: A Practical Guide for a Successful SOC provides everything security professionals need to create and operate a world-class Security Operations Center. It starts by helping professionals build a successful business case using financial, operational, and regulatory requirements to support the creation and operation of an SOC. It then delves into the policies and procedures necessary to run an effective SOC and explains how to gather the necessary metrics to persuade upper management that a company’s SOC is providing value. This comprehensive text also covers more advanced topics, such as the most common Underwriter Laboratory (UL) listings that can be acquired, how and why they can help a company, and what additional activities and services an SOC can provide to maximize value to a company. Helps security professionals build a successful business case for a Security Operations Center, including information on the necessary financial, operational, and regulatory requirements Includes the required procedures, policies, and metrics to consider Addresses the often opposing objectives between the security department and the rest of the business with regard to security investments Features objectives, case studies, checklists, and samples where applicable