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      Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python’s Scientific Libraries

      2 in stock

      Firm sale: non returnable item
      SKU 9781718502666 Categories ,
      Select Guide Rating
      Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. N...

      £47.99

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      Description

      Product ID:9781718502666
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Python Tools for Scientists
      Subtitle:An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries
      Authors:Author: Lee Vaughan
      Page Count:744
      Subjects:Web programming, Web programming, Data encryption, Data encryption
      Description:Select Guide Rating
      Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualisations, simulating natural events, and more.
      Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You''ll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualisations, simulating natural events, and more.
      Imprint Name:No Starch Press,US
      Publisher Name:No Starch Press,US
      Country of Publication:GB
      Publishing Date:2023-01-17

      Additional information

      Weight1174 g
      Dimensions233 × 180 × 51 mm