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Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting;
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Who This Book Is For If you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to;
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building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and;
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comfortable in performing data exploration and analysis on Python using pandas Step-by-step demonstration of using Python and pandas with interactive;
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using Python's pickle module Who this book is forPython developers interested in getting started with data mining will love this book. Budding;
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;
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on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with;
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sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and;
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. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You'll;
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chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. YoĆ¼ll review the;
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This book is a practical, handson guide that takes you through the techniques of web scraping using Beautiful Soup. Getting Started with;
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data to building software and publishing your results.In four parts, this book includes: Getting Started: Jump into Python, the command line;
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want to shift their career to data science. The book requires basic familiarity with Python. A getting started with Python section has been;
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, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis;
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How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on;
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Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discovery Key Features;
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This book provides the tools for analyzing data in Python: different types of filters are introduced and explained, such as FIR-, IIR- and;
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analysis with Python, then this book is for you. Familarity with digital mapping and analysis using Python or another scripting language for;
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visualize results. Using Python for data analysis, you'll work with real-world datasets, understand data, summarize its characteristics, and;
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operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data;
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Getting Started with Oracle Data Integrator 11g: A Hands-On Tutorial is a practical tutorial bursting with tips, illustrations and real;
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Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from;
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Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book * Learn the basics;
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Even as data is turning the world upside down, the next revolution is taking shape: realtime data analysis. Data tools like Hadoop are;
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Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific;
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. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used;
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