{"product_id":"154821","title":"Data Science for Everyone with Python ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYDsmQzY4i8h57RgPE7LqOmi9sxjf.png?v=1765082151\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Data Science for Everyone with Python \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/43633333\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eIn the age of big data, why data science?\u003cbr\u003e It is important to analyze the data and find meaning!\u003cbr\u003e\u003c\/b\u003e \u003cbr\u003e\"Everyone's Data Science with Python\" explains things as simply as possible without using technical terms or complex mathematics, so that even beginners and non-majors can learn.\u003cbr\u003e First, we will learn about the concepts of data science and then look at the core contents of Python, which is mainly used in data science.\u003cbr\u003e You will also learn how to actually handle and utilize data by analyzing HTML, CSV, JSON files, numerical and tabular data, and creating graphs using Beautiful Soup, NLTK, NumPy, and Pandas.\u003cbr\u003e If you're new to data science, don't hesitate and get started!\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e [index]\u003cbr\u003e\u003cbr\u003e Chapter 1: What is Data Science?\u003cbr\u003e UNIT 01 Data Analysis Process\u003cbr\u003e UNIT 02 Data Collection Pipeline\u003cbr\u003e UNIT 03 Report Structure\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 2: Understanding the Core of Python in Data Science\u003cbr\u003e UNIT 04 Understanding Basic String Functions \u003cbr\u003eUNIT 05 Choosing the Right Data Structure\u003cbr\u003e UNIT 06 Understanding Lists with List Comprehension\u003cbr\u003e UNIT 07 Counting with a Counter\u003cbr\u003e UNIT 08 File Handling\u003cbr\u003e UNIT 09 Accessing the Web\u003cbr\u003e UNIT 10 Pattern Matching with Regular Expressions\u003cbr\u003e UNIT 11 Handling Files and Other Strings\u003cbr\u003e UNIT 12: Compressing Data with Pickle\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 3: Handling Text Data\u003cbr\u003e UNIT 13 Processing HTML Files\u003cbr\u003e UNIT 14 Handling CSV Files\u003cbr\u003e UNIT 15 Reading JSON Files\u003cbr\u003e UNIT 16 Natural Language Processing\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 4: Working with Databases\u003cbr\u003e UNIT 17 Setting up a MySQL database\u003cbr\u003e UNIT 18 Using MySQL: The Command Line\u003cbr\u003e UNIT 19 Using MySQL: pymysql\u003cbr\u003e UNIT 20 Document Handling: MongoDB\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 5: Handling Tabular Numeric Data\u003cbr\u003e UNIT 21 Creating Arrays\u003cbr\u003e UNIT 22 Row-Matrix Transformation and Shape Transformation\u003cbr\u003e UNIT 23 Indexing and Truncation\u003cbr\u003e UNIT 24 Broadcasting\u003cbr\u003e UNIT 25: Uncovering Universal Functions\u003cbr\u003e UNIT 26 Understanding Conditional Functions\u003cbr\u003e UNIT 27 Array Aggregation and Sorting\u003cbr\u003e UNIT 28 Treating Arrays as Sets\u003cbr\u003e UNIT 29 Storing and Reading Arrays \u003cbr\u003eUNIT 30 Creating a Synthetic Sine Wave\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 6: Handling Data Series and Frames\u003cbr\u003e UNIT 31 Getting Familiar with Pandas Data Structures\u003cbr\u003e UNIT 32 Reshaping Data\u003cbr\u003e UNIT 33 Handling Missing Data\u003cbr\u003e UNIT 34 Merging Data\u003cbr\u003e UNIT 35 Sorting Data\u003cbr\u003e UNIT 36 Data Transformation\u003cbr\u003e UNIT 37 Handling Pandas File Input\/Output\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 7: Handling Network Data\u003cbr\u003e UNIT 38 Decomposing Graphs\u003cbr\u003e UNIT 39 Network Analysis Sequence\u003cbr\u003e UNIT 40 Using NetworkX\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Plotting Chapter 8\u003cbr\u003e UNIT 41 Drawing basic plots with pyplot\u003cbr\u003e UNIT 42 Learning about different plot types\u003cbr\u003e UNIT 43 Plot Design\u003cbr\u003e UNIT 44 Plotting with Pandas\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 9 Probability and Statistics\u003cbr\u003e UNIT 45 Probability Distributions Review\u003cbr\u003e UNIT 46: Statistical Methodology Review\u003cbr\u003e UNIT 47: Statistical Analysis with Python\u003cbr\u003e Let's try\u003cbr\u003e\u003cbr\u003e Chapter 10 Machine Learning\u003cbr\u003e UNIT 48 Designing Predictive Experiments\u003cbr\u003e UNIT 49 Fitting a Regression Line\u003cbr\u003e UNIT 50: Clustering Data with K-Means Clustering\u003cbr\u003e UNIT 51 Surviving the Random Forest\u003cbr\u003e Let's try\u003cbr\u003e \u003cbr\u003eAppendix A Read More\u003cbr\u003e See the answers to the 1-star practice problems in Appendix B.\u003cbr\u003e Appendix C: Setting Up Your Lab Environment\u003cbr\u003e References\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate1319\/MidCate004\/131834847.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e Anyone can analyze and visualize data with Python!\u003cbr\u003e\u003cbr\u003e Units 1-12 | Learn Data Science Concepts and Python Core\u003cbr\u003e Learn the concepts of what data science is and also learn the core Python concepts commonly used in data science, such as basic string functions, data structures, counters, lists, regular expressions, and pickle.\u003cbr\u003e\u003cbr\u003e UNIT 13-40 | Handling Various Data\u003cbr\u003e We cover how to handle text files such as HTML, CSV, and JSON using Beautiful Soup and NLTK, how to process numerical data using NumPy, how to handle tabular data using Pandas, and how to perform network analysis using NetworkX. \u003cbr\u003eWe also explain how to use external databases such as MySQL (relational database) and MongoDB (non-relational database).\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e Units 41-51 | Data Visualization, Probability and Statistics, and Machine Learning\u003cbr\u003e This explains how to draw and decorate various plots using pyplot and Pandas.\u003cbr\u003e We'll also briefly explore more off-the-beaten-path topics like predictive analytics, probability distributions, statistical analysis in Python, clustering data with K-means clustering, and random forests.\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e July 14, 2017\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 292 pages | 678g | 183*235*20mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791160502152\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1160502153 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893458960426,"sku":"154821","price":32.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/d21655e9c662136e31d4fa681a100371.jpg?v=1765402836","url":"https:\/\/librairie.coreenne.fr\/en\/products\/154821","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}