python-data-science-handbook

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Python Data Science Handbook

Author : Jacob T. Vanderplas
ISBN : 1491912057
Genre : Computers
File Size : 80. 25 MB
Format : PDF, ePub
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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Python Data Science Handbook

Author : Jake VanderPlas
ISBN : 9781491912133
Genre : Computers
File Size : 80. 63 MB
Format : PDF, Kindle
Download : 668
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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Hands On Data Analysis With Pandas

Author : Stefanie Molin
ISBN : 9781800565913
Genre : Computers
File Size : 80. 62 MB
Format : PDF
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Knowing how to work with data to extract insights generates significant value. This book will help you to develop data analysis skills using a hands-on approach and real-world data. You’ll get up to speed with pandas 1.x in no time and build some software engineering skills in the process, vastly expanding your data science toolbox.

The Data Science Handbook

Author : Field Cady
ISBN : 9781119092940
Genre : Mathematics
File Size : 85. 65 MB
Format : PDF
Download : 557
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A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.

Python Data Science Handbook

Author : Jacob T. Vanderplas
ISBN : 1491912049
Genre : Data mining
File Size : 84. 71 MB
Format : PDF
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"For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python."--Provided by publisher.

Python Data Science Handbook

Author : Jacob T. Vanderplas
ISBN : 1491912049
Genre : Data mining
File Size : 35. 40 MB
Format : PDF, Mobi
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Python Data Science

Author : Jessica Rizzo
ISBN : 1081068000
Genre :
File Size : 26. 3 MB
Format : PDF, Mobi
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If you're tired of licensing third-party software for data analysis, Python Data Science will help you do it for yourself! Recently, more and more companies are learning that they need to make DATA-DRIVEN decisions. And with big data and data science on the rise, we now have more data than we know what to do with. In fact, without a doubt, you have already experienced data science in one way or another. Obviously, you are interacting with data science products every time you search for information on the web by using search engines such as Google, or asking for directions with your mobile phone. Data science is the science and technology focused on collecting raw data and processing it in an effective manner. It is the combination of concepts and methods that make it possible to give meaning and understandability to huge volumes of data. Data science has been the force behind resolving some of our most common daily tasks for several years. In nearly all of our daily work, we directly or indirectly work on storing and exchanging data. With the rapid development of technology, the need to store data effectively is also increasing. That's why it needs to be handled properly. Basically, data science unearths the hidden insights of raw-data and uses them for productive output. Python is often used in data science today because it is a mature programming language that has excellent properties for newbie programmers. Some of the most remarkable of these properties are its easy to read code, suppression of non-mandatory delimiters, dynamic typing, and dynamic memory usage. Python is an interpreted language, and it can be executed in the Python console without any need to compile to machine language. "Python Data Science" teaches a complete course of data science, including key topics like data integration, data mining, python etc. We will explore NumPy for numerical data, Pandas for data analysis, IPython, Scikit-learn and Tensorflow for machine learning and business. Each of the chapters in this book is devoted to one of the most interesting aspects of data analysis and processing. The following are some of the major topics covered in Python Data Science: Understanding Data Science Getting Started with Python for Data Scientists Descriptive statistics Data Analysis and Libraries NumPy Arrays and Vectorized Computation Data Analysis with Pandas Data Visualization Data Mining Classifying with Scikit-learn Estimators Giving Computers the Ability to Learn from Data Training Machine Learning Algorithms The Python ecosystem for data science discussed within Python Data Science includes SciPy, NumPy, Matplotlib, Pandas, and Scikit-learn, which provides all of the data science algorithms. Data processing and analysis is one of the hottest areas of IT, where developers who can handle projects of any level, from social networks to trained systems, are constantly required. We hope this book will be the starting point for your journey into the fascinating world of Data Science. To get started on your Python adventure, just scroll back up and click the 'Buy' button.

Python Data Science Handbook

Author : Oliver Soranson
ISBN : 1706630069
Genre :
File Size : 71. 12 MB
Format : PDF, Mobi
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This book in detail will deal with a lot of concepts in layman explanation. Data science is one of the pioneers and most fast-developing tools now to develop applications. A little to know in a better way of this guide will help you understand a lot of things for the data science application. Here in this book, we will deal with many concepts that are either directly or indirectly linked to data science. First, we will start with a brief explanation of the data. Data is one of the most important things today. We will classify the data many times and in the next, we will discuss in detail the applications that machine learning and data science that deals with. In the next section, we will have a topic that will discuss all basic concepts in very little time. We will also discuss an example model that helps us understand things vividly. Also, there are a lot of concepts like NumPy, Pandas that should be dealt with in detail. We will also discuss data operations in detail. These are important and easy to learn. In the next few chapters, we will discuss topics like privacy and ethics. Below we will in detail list the main topics that are included in the book. · Explanation of data and types of data · A lot of explanation about third party libraries · Introduction to python · Introduction to a lot of python basic concepts · Basics of machine learning · Basics of data science like data modeling · Understanding complex topics like NumPy and pandas · A lot of description about privacy and ethics Why are you waiting for? Go grab this book.

Python Data Science Handbook

Author : Jake VanderPlas
ISBN : 9781491912140
Genre : Computers
File Size : 90. 95 MB
Format : PDF, Kindle
Download : 997
Read : 801

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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Python Programming

Author : Oliver Soranson
ISBN : 9798632021449
Genre :
File Size : 75. 47 MB
Format : PDF, ePub
Download : 272
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Discover the world of python with this incredible 3-in-1 book bundle! Do you want to uncover the secrets of python data analysis, data science, and machine learning? Looking for the best ways to familiarize yourself with this amazing language, no matter your level of experience? Then this is the bundle for you! Inside this incredible 3 book collection, you'll discover how you can get started with the world of python. Containing a wealth of practical strategies, tips and tricks, and easy-to-understand explanations, now it's never been easier to begin programming with the world of python. With a breakdown of data science, data analysis, and even the wonders of machine learning, this collection is perfect for anybody looking to begin their programming journey. Inside book one, you'll discover: An Exploration Of Machine Learning Must-Know Terminology, Notations, and Programming Jargon How To Use Conditional Statements How To Work With Pandas, Jupyter and Ipython Tips And Tricks For Creating Machine Learning Algorithms And More! Inside book two, you'll find: An Introduction To The World of Python Python Origins, History, And Function Breaking Down The Basics - Python Fundamentals You Need To Know Understanding Numpy Arrays, Operations, Objects, and The Data Preparing Data, Creating Statistics, and More And Real-Life Examples of Python In Action! And in book three, you'll learn: The Fundamentals of Data Science How Python Can Help You Manage Big Data Essential Strategies For Using Python In Data Science Acquiring, Examining, and Processing Data Exploring The Ethics and Privacy of Big Data And So Much More! So don't wait! It's time for you to discover why python is a favorite language for programmers the world over. Even if you're a complete beginner, or you've never used python before, this bundle explains everything you need to know in a simple, easy-to-follow way. Understand machine learning, discover how to analyze data, and begin your journey with python today! So what are you waiting for? Buy now to discover how to get started with python programming!

The Data Science Handbook

Author : Field Cady
ISBN : 9781119092926
Genre : Mathematics
File Size : 22. 94 MB
Format : PDF, ePub, Mobi
Download : 707
Read : 263

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A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.

Python Programming

Author : Oliver Soranson
ISBN : 9798626322644
Genre :
File Size : 65. 31 MB
Format : PDF
Download : 230
Read : 963

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Discover the world of python with this incredible 3-in-1 book bundle! Do you want to uncover the secrets of python data analysis, data science, and machine learning? Looking for the best ways to familiarize yourself with this amazing language, no matter your level of experience? Then this is the bundle for you! Inside this incredible 3 book collection, you'll discover how you can get started with the world of python. Containing a wealth of practical strategies, tips and tricks, and easy-to-understand explanations, now it's never been easier to begin programming with the world of python. With a breakdown of data science, data analysis, and even the wonders of machine learning, this collection is perfect for anybody looking to begin their programming journey. Inside book one, you'll discover: An Exploration Of Machine Learning Must-Know Terminology, Notations, and Programming Jargon How To Use Conditional Statements How To Work With Pandas, Jupyter and Ipython Tips And Tricks For Creating Machine Learning Algorithms And More! Inside book two, you'll find: An Introduction To The World of Python Python Origins, History, And Function Breaking Down The Basics - Python Fundamentals You Need To Know Understanding Numpy Arrays, Operations, Objects, and The Data Preparing Data, Creating Statistics, and More And Real-Life Examples of Python In Action! And in book three, you'll learn: The Fundamentals of Data Science How Python Can Help You Manage Big Data Essential Strategies For Using Python In Data Science Acquiring, Examining, and Processing Data Exploring The Ethics and Privacy of Big Data And So Much More! So don't wait! It's time for you to discover why python is a favorite language for programmers the world over. Even if you're a complete beginner, or you've never used python before, this bundle explains everything you need to know in a simple, easy-to-follow way. Understand machine learning, discover how to analyze data, and begin your journey with python today! So what are you waiting for? Buy now to discover how to get started with python programming!

Hands On Data Analysis With Pandas

Author : STEFANIE. MOLIN
ISBN : 1789615321
Genre :
File Size : 75. 30 MB
Format : PDF, Kindle
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Python For Data Science

Author : Ethan Williams
ISBN : 1687159106
Genre :
File Size : 38. 44 MB
Format : PDF, Kindle
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This book is a comprehensive guide for beginners to learn Python Programming, especially its application for Data Science. While the lessons in this book are targeted at the absolute beginner to programming, people at various levels of proficiency in Python, or any other programming languages can also learn some basics and concepts of data science. A few Python libraries are introduced, including NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualisation. To make the lessons more intuitive and relatable, practical examples and applications of each lesson are given. The reader is equally encouraged to practise the techniques via exercises, within and at the end of the relevant chapters. To help the reader get a full learning experience, there are references to relevant reading and practice materials, and the reader is encouraged to click these links and explore the possibilities they offer. It is expected that with consistency in learning and practicing the reader can master Python and the basics of its application in data science. The only limitation to the reader's progress, however, is themselves!

Python Programming

Author : Oliver Soranson
ISBN : 9798628324745
Genre :
File Size : 21. 78 MB
Format : PDF, Mobi
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Machine Learning applies AI or an artificial intelligence which makes systems process and learn automatically without the need of being programmed by the user. It automatically stores, retrieves, and processes data, which makes programming much easier. Let's think of the concept of machine learning and Python and how it can be useful in our daily lives. There are so many benefits of learning and practicing Machine Learning and Python that many aspiring data scientists demands of achieving. It can not only help the industry but our personal lives as well. Whether your dream is learning the basics of machine learning, getting your feet wet with learning a few algorithms, earning a six-figure income by becoming an engineer, or living the high life because you just came up with your company's first ever Neural Network, this Machine Learning with Python book with its step-by-step learning is the blueprint in understanding machine learning. This step-by-step guide to machine learning teaches: Machine Learning Types: from supervised machine learning to deep reinforcement learning with algorithms from the k-nearest neighbor which is solely called kNN, which is a statistical approach that can be employed for answering classification and regression problems. A quick little synopsis on the 1943 model of the McCulloch-Pitts model of Neurons and how the prototype was put together with a simple component called Neuron. Operations: from data security to healthcare What is Python: How it is used and the benefits of learning it Notations: Arithmetic notation to Set Membership notation Roadmap for building Machine Learning Systems Variables in Python: How a variable is a component that holds a value that may change. Essential Operators for Python: from types of operators to Python Operators Precedence Functions: Defining the Return Statement Conditional Statement: How to use Conditional Statements to Else Statements with examples How to use Loops in Python: from Loop to Nested Loops What is NumPy and How to use it: Installation to Sorting Arrays Introduction to Pandas: Key features to Head & Tail Matplotlib Python Plotting: From the structure of a Matplotlib Plot to RC Settings The Origins of IPython/Jupyter: The start of Computational Notebooks to Installing Extensions. It explains how most of the extensions of the Jupyter Notebook can be downloaded employing the pip tool of Python. Charts to fully explain the steps in order from start to finish Applied Machine Learning Process: With a 6-step procedure and why we need to use Weka when starting to Learn Machine Learning as well as a chart that covers these steps: Problem Definition: Comprehend and visibly define the problem that is being explained. Analyze Data: Comprehend the obtainable data that will be employed to make a prototype. Prepare Data: Learn and expose the building in the dataset. Evaluate Algorithms: Grow a healthy test harness and starting point exactness from which to advance and check algorithms Improve Results: Influence outcomes to grow more precise prototypes. Present Results: Label the situation and answer problems so that it can be understood by 3rd parties. It also goes over how you must practice, practice, practice, and the steps you should use to practice.

Python Data Science

Author : Oliver Soranson
ISBN : 1801130167
Genre :
File Size : 48. 15 MB
Format : PDF
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Explore the ultimate guide for Python data science and learn how to work with data the easy way. Are you a novice or experienced programmer, and you're looking for a deep-dive into the world of data science? Do you want to uncover the best ways to handle data using Python? Or are you in need of step-by-step advice to help you wrap your head around data sets, data wrangling and more? Then keep reading... As a favorite of programmers across the globe, Python offers a powerful and practical solution for all of your data science needs. But with so much advice out there and so many confusing approaches, how can you find a down-to-earth, beginner's introduction to this essential skill? Breaking down the details of Python data science, this ultimate guide reveals how you can kickstart your skills as a programmer and benefit from the wide range of tools and libraries which Python offers you. From data aggregation and machine learning to how you can collect and manipulate data, this brilliant handbook arms you with the must-have knowledge for becoming a data science pro. Here's just a little of what you'll find inside: Why YOU Should Be Using Python For Data Science A Simple Beginner's Examination of The Basics of Using Python The Amazing Ways The NumPy Library Can Help You With Data Science How To Collect, Manipulate, Clean and Prepare Your Data Practical Steps For Data Wrangling Surprisingly Simple Ways To Visualize Your Data and Draw Meaningful Conclusions And So Much More! With bonus advice on machine learning, practical examples of Python data science in action, as well as how you can benefit from extra libraries including IPython, Jupyter, Scikit-Learn and TensorFlow, now even a complete beginner can begin their journey with Python and become a data scientist in no time. Ready to discover the benefits of Python for data science? Then scroll up and grab your copy today!

Bad Data Handbook

Author : Q. McCallum
ISBN : 9781449321888
Genre : Computers
File Size : 61. 8 MB
Format : PDF, ePub, Mobi
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"Mapping the world of data problems"--Cover.

Introduction To Data Science

Author : Laura Igual
ISBN : 3319500163
Genre : Computers
File Size : 37. 82 MB
Format : PDF, Mobi
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This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.

Hands On Data Science With Anaconda

Author : Yuxing Yan
ISBN : 1788831195
Genre :
File Size : 67. 82 MB
Format : PDF
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Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Key Features -Use Anaconda to find solutions for clustering, classification, and linear regression -Analyze your data efficiently with the most powerful data science stack -Use the Anaconda cloud to store, share, and discover projects and libraries Book Description Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You'll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You'll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod. Once you're accustomed to all this, you'll start with operations in data science such as cleaning, sorting, and data classification. You'll move on to learning how to perform tasks such as clustering, regression, prediction, and building machine learning models and optimizing them. In addition to this, you'll learn how to visualize data using the packages available for Julia, Python, and R. What you will learn Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda Use the package manager conda and discover, install, and use functionally efficient and scalable packages Get comfortable with heterogeneous data exploration using multiple languages within a project Perform distributed computing and use Anaconda Accelerate to optimize computational powers Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud Tackle advanced data prediction problems Who this book is for Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. It's also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications by using the best libraries in multiple languages. Basic programming knowledge with R or Python and introductory knowledge of linear algebra is expected.

Python For Data Analysis

Author : Matt Algore
ISBN : 1801583757
Genre : Computers
File Size : 80. 57 MB
Format : PDF
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Talking about the IT world, there are many options when you have to choose language programming to learn and then to use for developing your career, especially if you want to become a Data Scientist. Python is one of the topmost languages and is becoming more and more popular because of plenty of reasons and one of the key reasons is that it is the best language to master if you want to analyze the data or get into the field of data analysis and data sciences. This Handbook will not only give you reasons on why you need to learn data science, but it will also tell you why learning data science with Python training is the better option. In this book you will: - Have a Clear and Exhaustive Explanation About Data Analysis and Why It Is So Important Today in The Business World; organizations of all sizes rely on the insights they extract from the data they have to measure progress, make informed decisions, plan for the future, and so on. Data scientists are the people who process and organize the data with scientific methods, algorithms, and other techniques. - Understand Why Python is Preferred to Use For Data Analysis Over Other Toolsand the reasons why all the benefits of using Python made it the best tool to learn data science. - Find a Step by Step Process to Install Python on Your Computer and a complete analysis of its hundreds of different libraries and frameworks which is a great addition to your development process. There's one library and framework for every need! - Have a Complete and Exhaustive List of Python Application to realize how this tool is flexible if you want to try something creative that's never done before. Due to that, it's possible to build data models, systematize data sets, create ML-powered algorithms, web services, and apply data mining to accomplish different tasks in a brief time for any kind of business organization - Learn How to Carry Out Work More and More Complex and Difficult to be updated on new themes and trends in the sector and carry out small independent jobs to finance your projects. - & Lot More! Are you completely new to programming and want to learn how to code, but don't know where to begin? Are you looking to upgrade your data wrangling skills to future-proof your career and break into Data Science and Analytics? Python is one of the most valuable and interesting languages for data analysis. Therefore, the popularity of Python is growing day by day, especially in the world of data analysis or data sciences. This Definitive Guide will combine Data Analysis and Python to give you the best information you could find. This guide is perfect to help you build amazing products and help businesses Order Your Copy Now and Start Becoming a Successful Python Expert!

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