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Python Programming Notebook For Computer Programmers Developers Python Data Analysis For Kids Machine Learning Finance
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Book Synopsis Python Programming Notebook for Computer Programmers & Developers, Python / Data Analysis / For Kids / Machine Learning / Finance by : Enavfor Editing
Download or read book Python Programming Notebook for Computer Programmers & Developers, Python / Data Analysis / For Kids / Machine Learning / Finance written by Enavfor Editing and published by . This book was released on 2020-01-04 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: A great Notebook for Python Software developers - Journal makes an excellent Python Code saved We would love to help you Solve Programming Problems, Plan out your Software Structure, write clean Python Code and save Time and Money. That why we come with this awesome Python Programming Notebook It's wondrefull for: IT student Young Programmers Programming Tips Learning new Programming language Programming for Kids Python Programming book Computer Science Graduation or Programmers' Day gift for anyone that loves to follow their passion and IT Career. It's 6x9 inches and has 110 white pages, which makes it an ideal notebook to take with you everywhere you go and programming made very easy to professional..
Book Synopsis Foundational Python for Data Science by : Kennedy Behrman
Download or read book Foundational Python for Data Science written by Kennedy Behrman and published by Pearson. This book was released on 2021-10-12 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Python for Data Analysis by : Wes McKinney
Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2022-08-12 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third 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, 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 Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy 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
Book Synopsis Data Analysis with Python by : David Taieb
Download or read book Data Analysis with Python written by David Taieb and published by Packt Publishing Ltd. This book was released on 2018-12-31 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key FeaturesBridge your data analysis with the power of programming, complex algorithms, and AIUse Python and its extensive libraries to power your way to new levels of data insightWork with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time seriesExplore this modern approach across with key industry case studies and hands-on projectsBook Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learnA new toolset that has been carefully crafted to meet for your data analysis challengesFull and detailed case studies of the toolset across several of today’s key industry contextsBecome super productive with a new toolset across Python and Jupyter NotebookLook into the future of data science and which directions to develop your skills nextWho this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.
Book Synopsis Python for Data Science For Dummies by : John Paul Mueller
Download or read book Python for Data Science For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2023-11-07 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysis Learn about data science careers you can pursue with Python coding skills Integrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databases Python careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.
Book Synopsis Python For Data Analysis by : Matt Algore
Download or read book Python For Data Analysis written by Matt Algore and published by . This book was released on 2021-01-06 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Tools and 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!
Book Synopsis Python for Finance by : Yves Hilpisch
Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Book Synopsis Python for Data Analysis by : Wes McKinney
Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Python For Data Science by : Ben Chan
Download or read book Python For Data Science written by Ben Chan and published by . This book was released on 2021-02-08 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Data Science: The Best Crash Course Guide for Beginners Ever! Master the art of Python for data science with this guide. A must-have book, Python for Data Science, comes with top tips that every beginner needs to have. No more learning frustration and drama, study about the power of Python and learn to code, do data analysis and computer programming that works. Here's what you will love about this book: What is Python, anyway? Here's How to Get Started. A Beginners' Friendly Python Coding Guide with Easy to Follow Steps. Discover Data Analysis. This Method Ensures that Your Learning Experience is Easy, Fast and Effective. Thinking About Computer Programming with Python? Find out the Reasons Why it's Time to Start! Creative Ways You Can Master Data Types & Variables. Simple Ways the Pros use to Work Closely with Lists (that anyone can do). Learn the Secret Tips that Will Make You a Guru in Python in no time. And much more! Python for data science doesn't have to be hard. Read these awesome tips. Get actionable steps to learn the way you always wanted. Get your copy of Python for Data Science. The Crash Curse Guide for Beginners. Learn Right Now Python Coding, Data Analysis, and Computer Programming (for Women, Men, and Kids). And start your journey today. Scroll up and click the "add to cart" button to buy now!
Book Synopsis Python: End-to-end Data Analysis by : Phuong Vothihong
Download or read book Python: End-to-end Data Analysis written by Phuong Vothihong and published by Packt Publishing Ltd. This book was released on 2017-05-31 with total page 911 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of Python to clean, scrape, analyze, and visualize your data About This Book Clean, format, and explore your data using the popular Python libraries and get valuable insights from it Analyze big data sets; create attractive visualizations; manipulate and process various data types using NumPy, SciPy, and matplotlib; and more Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For This course is for developers, analysts, and data scientists who want to learn data analysis from scratch. This course will provide you with a solid foundation from which to analyze data with varying complexity. A working knowledge of Python (and a strong interest in playing with your data) is recommended. What You Will Learn Understand the importance of data analysis and master its processing steps Get comfortable using Python and its associated data analysis libraries such as Pandas, NumPy, and SciPy Clean and transform your data and apply advanced statistical analysis to create attractive visualizations Analyze images and time series data Mine text and analyze social networks Perform web scraping and work with different databases, Hadoop, and Spark Use statistical models to discover patterns in data Detect similarities and differences in data with clustering Work with Jupyter Notebook to produce publication-ready figures to be included in reports In Detail Data analysis is the process of applying logical and analytical reasoning to study each component of data present in the system. Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. Have you ever imagined becoming an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? If yes, look no further, this is the course you need! In this course, we will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. You'll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration scripts for web mining. You'll be able to quickly and accurately perform hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. Finally, you will delve into advanced techniques such as performing regression, quantifying cause and effect using Bayesian methods, and discovering how to use Python's tools for supervised machine learning. The course provides you with highly practical content explaining data analysis with Python, from the following Packt books: Getting Started with Python Data Analysis. Python Data Analysis Cookbook. Mastering Python Data Analysis. By the end of this course, you will have all the knowledge you need to analyze your data with varying complexity levels, and turn it into actionable insights. Style and approach Learn Python data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach. It offers you a useful way of analyzing the data that's specific to this course, but that can also be applied to any other data. This course is designed to be both a guide and a reference for moving beyond the basics of data analysis.
Download or read book Python Programming written by Ben Chan and published by . This book was released on 2021-02-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Programming Create Awesome Projects the Way You Always Wanted Finally, a beginners' friendly guide to Python, learn the secrets you need to know for finishing great projects. Go from frustration to mastering in no time. Get your bundle book, Python Programming 2 Books in 1: Python for Data Science, Python for Beginners, Improve your Coding Skills and Learn All the Secrets About Machine Learning With our Crash Course. Here are the guides packed within this bundle book: Python for Data Science, The Crash Curse Guide for Beginners. Learn Right, Now Python Coding, Data Analysis, and Computer Programming (for Women, Men, and Kids). Python for Beginners, Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science. Here's what you will love about this book: Learn how to avoid the most common beginner mistakes. Learn how to get started for Your new python Project the easy way, this book will answer all your questions about it. Learn about Data Types & Variables. How to get confident with Lists. Take a deeper look at looping. Learn How to Read and Follow Basic Functions in Python Effectively. Learn the Right Steps for Flow control in Python. And much more! With this guide, Python is now easier than ever. Find the inspiration you need and create great projects today! Are you ready? Scroll up and click to buy now!
Book Synopsis Python Programming for Data Analysis by : José Unpingco
Download or read book Python Programming for Data Analysis written by José Unpingco and published by Springer Nature. This book was released on 2021-05-04 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science. This book is ideal for readers with some Python programming experience. The book covers key language concepts that must be understood to program effectively, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data structures. Using Python effectively means taking advantage of its vast ecosystem. The book discusses Python package management and how to use third-party modules as well as how to structure your own Python modules. The section on object-oriented programming explains features of the language that facilitate common programming patterns. After developing the key Python language features, the book moves on to third-party modules that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array data structures and memory usage. Then, the author moves onto Pandas and details its many features for data processing and alignment. Because strong visualizations are important for communicating data analysis, key modules such as Matplotlib are developed in detail, along with web-based options such as Bokeh, Holoviews, Altair, and Plotly. The text is sprinkled with many tricks-of-the-trade that help avoid common pitfalls. The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis. To get the most out of this book, open a Python interpreter and type along with the many code samples.
Book Synopsis Python For Data Science by : Ben Chan
Download or read book Python For Data Science written by Ben Chan and published by . This book was released on 2020-03-18 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the Step-by-Step Python Guide (That ANYONE Can Follow) Python: It's Not as Difficult as You Think Python for Beginners lays out the foundation to get started with Computer Programming with solid information, so you can learn with confidence even if you are new to Python. Here you will find: Learn all about Python- What is behind it? Find out the Basics of Python Programming Learn the right way to Install Phyton in Macintosh and Windows Operating Systems Simple to understand steps to run Your First Program in Python. Here's what's packed in Python for Beginners, Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science Discover The integrated Development Environment. Find out the "Why" and "How" of Variables and Conventions when naming Python. Learn the Keywords and Identifiers in Python Programming. Learn Basic Functions in Python. Discover the Data types in Python and the Flow control in Python. How to use Advanced Features, Data analysis, and other Features. This beginner's guide brings to you all the essential practical tips for working with Python. This great book makes easier to understand the subject, without getting bogged down in the details. This is an all-to guide in shifting your perspective on the capabilities of the Python so you can successfully utilize it as a high-level programmer. Would You Like to Learn How? Scroll up and click the "add to cart" button to buy now!
Book Synopsis Python Programming by : Computer Science Academy
Download or read book Python Programming written by Computer Science Academy and published by . This book was released on 2020-03-14 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are looking to master the fundamental concepts of Data Analysis and Data Science driven by the Python programming language to develop a solid understanding of all the latest innovative technologies, then this is just that one comprehensive book you have been waiting for. If you are looking to learn how to write effective and efficient codes in Python and master this extremely intuitive and flexible programming language that can be used for a variety of coding projects including machine learning algorithms, web applications, data mining and visualization, game development. Then this is just the book that you need. Some of the highlights of this book include: What the Python language is all about and how we are able to utilize it to get a lot of coding done. A look at the data analysis and how we can benefit, no matter what industry we are. How Python is able to work well with the data analysis and why it is the number one language to help you handle this. A look at some of the steps that we are able to utilize when it comes to our data analysis so we can get it all done the right way. How to install and use the NumPy library, one of the best extensions with Python, to help us get our data analysis done. How to work with the Pandas and IPython extensions so that we are able to get things done with your analysis. The practical uses of the data analysis to help you get it done. A look at the Matplotlib library to help you create some of your own visuals with your data when the analysis is done. How to work with data visuals and how they are so important to your work. The five major stages of the TDSP lifecycle that outline the interactive steps required for project execution along with the deliverables created at each stage. Installation instructions for Python so you can download and install Python on your operating system and get hands-on coding experience. Python coding concepts such as data types, classes, and objects variables, numbers, constructor functions, Booleans and much more. Learn the functioning of various data science libraries like Scikit-Learn, which has evolved as the gold standard for machine learning and data analysis. Deep dive into the Matplotlib library, which offers visualization tools and science computing modules supported by SciPy and learn how to create various graphs using Matplotlib and Pandas library. Learn how machine learning allows analysis of large volumes of data and delivers faster and more accurate results. Overview of four different machine-learning algorithms that can be used to cater to the available data set and create a desired machine-learning model. Learn how companies are able to employ a predictive analytics model to gain an understanding of customer interactions with their products or services based on customer's feelings or emotions shared on the social media platforms. All industries are able to benefit when it comes to working with data analysis and seeing some of the results that you would like. It is not always easy, and it is something that takes longer than many companies are prepared. However, when you are able to put it all together, and you work with the Python language to get it done, you will find that it can provide you with some insights that are invaluable. When you are ready to learn how to complete your own Python data analysis and Python data science, make sure to check out this guidebook to help you get started. Even if you have never studied Python language before, you can learn it quickly. So what are you waiting for? Go to the top of the page and click Buy Now
Book Synopsis Python for Data Analysis by : Hari K.C.
Download or read book Python for Data Analysis written by Hari K.C. and published by Blue Rose Publishers. This book was released on 2022-05-26 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer programing is the vital field for the electronics, information and computer students. Programming with Python is trending topics nowadays. Its application has been increasing day by day. This book includes easy and readable theories with more examples. It also focusses on python projects. Computer Programming is the core subject for undergraduate students. With python, computer programming is not a big deal. This book is for beginners and intermediate students who wants to learn basics of Python Programming as well as Data Analysis and Visualization. In each Chapter, students will find necessary theories with relevant and practical examples. The concepts and examples used in this book are the inspiration from the different sources and authors. The whole text has been divided into seven chapters: 1. Introduction to Python 2. Data Structure and Conditional Statements 3. Loops and Functions 4. Object Oriented Programming in Python 5. Plotting graphs and charts in Python 6. Data analysis using NumPy and pandas 7. Mini Projects in Python
Book Synopsis Python Data Analysis Cookbook by : Ivan Idris
Download or read book Python Data Analysis Cookbook written by Ivan Idris and published by Packt Publishing Ltd. This book was released on 2016-07-22 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 140 practical recipes to help you make sense of your data with ease and build production-ready data apps About This Book Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed books Who This Book Is For This book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed. What You Will Learn Set up reproducible data analysis Clean and transform data Apply advanced statistical analysis Create attractive data visualizations Web scrape and work with databases, Hadoop, and Spark Analyze images and time series data Mine text and analyze social networks Use machine learning and evaluate the results Take advantage of parallelism and concurrency In Detail Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code. By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios. Style and Approach The book is written in “cookbook” style striving for high realism in data analysis. Through the recipe-based format, you can read each recipe separately as required and immediately apply the knowledge gained.
Book Synopsis Python for Data Science by : Mik Arduino
Download or read book Python for Data Science written by Mik Arduino and published by . This book was released on 2019-11-15 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are tired of reading without understanding and want to learn the value of big data and artificial intelligence simply and quickly, then keep reading... Today 91% of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence, so future programmers will no longer find work without having knowledge of this particular field that is constantly evolving. Artificial intelligence has made great strides over the years, and by 2024 it is estimated that 77% of programmers will have to be experts in this field to implement it in the various programming languages. So if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world. The solution? You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible. What are some points you will learn in this book? - Artificial Intelligence: How Does it Work? How is it Used? - The Key Elements of Machine Learning - Machine Learning vs Deep Learning - Data Science vs Business Intelligence - The Data Science Lifecycle - The Value of Big Data Explained to a Child - 4 Tips for Data Cleaning and Organizing Your Data - Python Data Analysis 360° - 6 Different Machine Learning Algorithms - How to Handle Data Visualizations Python for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and you have never turned on a computer in your life. Would You Like to Know More? Download now to find out about Python for Data Science. Scroll to the top of the page and hit the Buy Now button.
