All you really need to know is that you want to perform specific tasks and that Python makes these tasks quite accessible. You don’t even realize how much is going on, and you don’t need to care. Python comes with a host of useful libraries that do all the heavy lifting for you in the back- ground. You might assume that you need to be a computer science genius to perform the complex tasks normally associated with data science, but that’s far from the truth.
The main purpose of Python for Data Science For Dummies is to take the scare factor out of data science by showing you that data science is not only really interesting but also quite doable using Python.
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By knowing how to answer data science problems and where to employ data science, you gain a significant advantage over everyone else, increasing your chances at promotion or that new job you really want. Python for Data Science For Dummies not only gets you started using data science to perform a wealth of practical tasks but also helps you realize just how many places data science is used. In fact, you might work with data science every day and not even know it. When you went to the doctor last week and discovered the lump you found wasn’t cancer, it’s likely the doctor made his prognosis with the help of data science. Those terms are supplied by data science. For example, when you used your favorite search engine this morning to look for some- thing, it made suggestions on alternative search terms. Probably used data science in ways that you never expected. Ou rely on data science absolutely every day to perform an amazing array of tasks or to obtain services from someone else. REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE ACCURACY OR COMPLETENESS OF THEĬONTENTS OF THIS WORK AND SPECIFICALLY DISCLAIM ALL WARRANTIES, INCLUDING WITHOUT LIMIT OF LIABILITY/DISCLAIMER OF WARRANTY: THE PUBLISHER AND THE AUTHOR MAKE NO
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Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. О книге "Python for Data Science For Dummies"
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