دانلود کتاب Thoughtful Data Science: A Programmer’s Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.Key FeaturesThink deeply as a developer about your strategy and toolset in data scienceDiscover the best tools that will suit you as a developer in your data analysisAccelerate the road to data insight as a programmer using Jupyter NotebookDeep dive into multiple industry data science use casesBook DescriptionThoughtful Data Science brings new strategies and a carefully crafted programmer's toolset to work with modern, cutting-edge data analysis. This new approach is designed specifically to give developers more efficiency and power to create cutting-edge data analysis and artificial intelligence insights.Industry expert David Taieb bridges the gap between developers and data scientists by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust. You'll find the right balance of strategic thinking and practical projects throughout this book, with extensive code files and Jupyter projects that you can integrate with your own data analysis.David Taieb introduces four projects designed to connect developers to important industry use cases in data science. The first is an image recognition application with TensorFlow, to meet the growing importance of AI in data analysis. The second analyses social media trends to explore big data issues and natural language processing. The third is a financial portfolio analysis application using time series analysis, pivotal in many data science applications today. The fourth involves applying graph algorithms to solve data problems. Taieb wraps up with a deep look into the future of data science for developers and his views on AI for data science.What you will learnBridge the gap between developer and data scientist with a Python-based toolsetGet the most out of Jupyter Notebooks with new productivity-enhancing toolsExplore and visualize data using Jupyter Notebooks and PixieDustWork with and assess the impact of artificial intelligence in data scienceWork with TensorFlow, graphs, natural language processing, and time seriesDeep dive into multiple industry data science use casesLook into the future of data analysis and where to develop your skillsWho this book is forThis book is for established developers who want to bridge the gap between programmers and data scientists. With the introduction of PixieDust from its creator, the book will also be a great desk companion for the already accomplished Data Scientist. Some fluency in data interpretation and visualization is also assumed since this book addresses data professionals such as business and general data analysts. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.Table of ContentsPerspectives on Data Science from a developerData Science at scale with Jupyter Notebooks and PixieDustPixieApp under the hoodDeploying PixieAoos to the web with the PixieGateway ServerBest Practices and Advanced PixieDust ConceptsImage Recognition with TensorFlowBig Data Twitter Sentiment AnalysisFinancial Time Series Analysis and ForecastingUS domestic flight data analysis using GraphsFinal thoughts