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 guide shows non-programmers like you how to process information thatâ s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.
Through various step-by-step exercises, youâ ll learn how to acquire, clean, analyze, and present data efficiently. Youâ ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.
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Jacqueline Kazil is a data lover. In her career, she has worked in technology focusing in finance, government, and journalism. Most notably, she is a former Presidential Innovation Fellow and co-founded a technology organization in government called 18F. Her career has consisted of many data science and wrangling projects including Geoq, an open source mapping workflow tool, Congress.gov remake, and Top Secret America. She is active in the Python and data related communities -- Python Software Foundation, PyLadies, Women Data Science DC, and more. She teaches Python in Washington, D.C. at meetups, conferences, and mini bootcamps. She often pair programs with her sidekick, Ellie (@ellie_the_brave). You can find her on Twitter @jackiekazil or follow her blog, The coderSnorts (https://medium.com/coder-snorts).
Katharine Jarmul is a Python developer who enjoys data analysis and acquisition, web scraping, teaching Python and all things Unix. She has worked at small and large start ups before starting her consulting career overseas. Originally from Los Angeles, she learned Python while working at the Washington Post in 2008. As one of the founders of PyLadies (http://pyladies.org/), Katharine hopes to promote diversity in Python and other open source languages through education and training. She has led numerous workshops and tutorials ranging from beginner to advanced topics in Python. For more information on upcoming trainings, reach out to her on Twitter (http://twitter.com/kjam) or her her web site (http://kjamistan.com/).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Codice articolo G1491948817I3N10
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Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Codice articolo G1491948817I3N00
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Paperback. Condizione: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less. Codice articolo G1491948817I2N00
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Da: Jenson Books Inc, Logan, UT, U.S.A.
paperback. Condizione: Very Good. A clean, cared for item that is unmarked and shows limited shelf wear. Codice articolo 4BQGBJ015ATE
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Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR009372247
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Da: Half Price Books Inc., Dallas, TX, U.S.A.
paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Codice articolo S_426942784
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Da: AwesomeBooks, Wallingford, Regno Unito
Paperback. Condizione: Very Good. Data Wrangling with Python: Tips and Tools to Make Your Life Easier This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Codice articolo 7719-9781491948811
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