{"product_id":"python-for-data-science-for-dummies-isbn-9781394213146","title":"Python for Data Science For Dummies","description":"\u003cp\u003e\u003cb\u003eLet Python do the heavy lifting for you as you analyze large datasets\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePython for Data Science For Dummies \u003c\/i\u003elets 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eGet a firm background in the basics of Python coding for data analysis\u003c\/li\u003e \u003cli\u003eLearn about data science careers you can pursue with Python coding skills\u003c\/li\u003e \u003cli\u003eIntegrate data analysis with multimedia and graphics \u003c\/li\u003e \u003cli\u003eManage and organize data with cloud-based relational databases\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro. \u003c\/p\u003e\u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1: Getting Started with Data Science and Python 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: Discovering the Match between Data Science and Python 9\u003c\/p\u003e \u003cp\u003eChapter 2: Introducing Python’s Capabilities and Wonders 21\u003c\/p\u003e \u003cp\u003eChapter 3: Setting Up Python for Data Science 33\u003c\/p\u003e \u003cp\u003eChapter 4: Working with Google Colab 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2: Getting Your Hands Dirty with Data 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 5: Working with Jupyter Notebook 73\u003c\/p\u003e \u003cp\u003eChapter 6: Working with Real Data 83\u003c\/p\u003e \u003cp\u003eChapter 7: Processing Your Data 105\u003c\/p\u003e \u003cp\u003eChapter 8: Reshaping Data 131\u003c\/p\u003e \u003cp\u003eChapter 9: Putting What You Know into Action 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3: Visualizing Information 157\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 10: Getting a Crash Course in Matplotlib 159\u003c\/p\u003e \u003cp\u003eChapter 11: Visualizing the Data 177\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4: Wrangling Data 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 12: Stretching Python’s Capabilities 201\u003c\/p\u003e \u003cp\u003eChapter 13: Exploring Data Analysis 223\u003c\/p\u003e \u003cp\u003eChapter 14: Reducing Dimensionality 251\u003c\/p\u003e \u003cp\u003eChapter 15: Clustering 273\u003c\/p\u003e \u003cp\u003eChapter 16: Detecting Outliers in Data 291\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 5: Learning from Data 305\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 17: Exploring Four Simple and Effective Algorithms 307\u003c\/p\u003e \u003cp\u003eChapter 18: Performing Cross-Validation, Selection, and Optimization 327\u003c\/p\u003e \u003cp\u003eChapter 19: Increasing Complexity with Linear and Nonlinear Tricks 351\u003c\/p\u003e \u003cp\u003eChapter 20: Understanding the Power of the Many 391\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 6: The Part of Tens 413\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 21: Ten Essential Data Resources 415\u003c\/p\u003e \u003cp\u003eChapter 22: Ten Data Challenges You Should Take 421\u003c\/p\u003e \u003cp\u003eIndex 431\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eJohn Paul Mueller\u003c\/b\u003e is a freelance author and technical editor who has written 124 books on topics ranging like networking, home security, database management, and heads-down programming. \u003cb\u003eLuca Massaron\u003c\/b\u003e is a data scientist specialized in solving real-world problems with AI, machine learning, and algorithms. He is also a Kaggle Grandmaster and a Google Developer Expert.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eUntangle data science with Python\u003csup\u003e®\u003c\/sup\u003e\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eWith the Python programming language, you can write code to analyze, visualize, and model datasets of any size. This book simplifies this complex task. Even if you’re a beginner, you can learn to set up a Python workspace, shuffle and shape your data, and create valuable charts and graphs. When you’re ready, move on to more advanced transformations and analyses that will let you pull new ideas and insights right out of your data cloud. There’s no complicated jargon in this book—just clear instructions on taming data with Python. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside… \u003cul\u003e\n\u003cli\u003eConquering Python \u0026amp; data science basics\u003c\/li\u003e \u003cli\u003eSetting up a workspace with Anaconda\u003csup\u003e®\u003c\/sup\u003e and Google\u003csup\u003e®\u003c\/sup\u003e Colab\u003c\/li\u003e \u003cli\u003eImporting and cleaning data\u003c\/li\u003e \u003cli\u003eWorking with neural networks and ensembles of decision trees\u003c\/li\u003e \u003cli\u003eEnsuring data security\u003c\/li\u003e \u003cli\u003eWorking with updated datasets\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/b\u003e\u003c\/p\u003e","brand":"For Dummies","offers":[{"title":"Default Title","offer_id":47989892284645,"sku":"NP9781394213146","price":34.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394213146.jpg?v=1761785817","url":"https:\/\/k12savings.com\/products\/python-for-data-science-for-dummies-isbn-9781394213146","provider":"K12savings","version":"1.0","type":"link"}