![]() We provide for each notebook a web link to an HTML rendering, a brief description, and a link to download the. Packages like numpy and pandas can be difficult to get working, however, particularly on Windows, and Anaconda simplifies this setup considerably, regardless of your OS. It works well on Windows, Mac, and Linux.ÄŞlternatively, you can also create your Python environment manually, installing Python, package managers, and Python packages separately. It is separate from any OS-level version of Python, and is easy to completely uninstall. It includes multiple tools for installing and updating both Python and installed packages. Anaconda includes a Jupyter server and pre-compiled versions of many packages used in the notebooks. The easiest way to get this all working is to install the free Anaconda Python distribution provided by Continuum Analytics. You also need to install additional Python packages needed by the notebooks, and a few additional programs. You need a version of Python and iPython on your system, including a local Jupyter server that you can use to run the notebooks. In most cases, additional packages will need to be added and each notebook will give instructions for adding the appropriate tool. The notebooks and related files are accessible below. They are freely available to be downloaded by anyone at any time, and run on any appropriately configured computer. The notebooks are interactive documents that mix formatted text and Python code samples that can be edited and run in real-time in a Jupyter notebook server, allowing you to run and explore the code for each technology as you read about it. They combine explanation, basic exercises, and substantial additional Python code to provide a conceptual understanding of each technology, give insight into how key parts of the process are implemented through exercises, and then lay out an end-to-end pattern for implementing each in your own work. These notebooks explain selected techniques and approaches and provide thorough implementation details so that you can quickly start using the technologies covered within. We provide accompanying Jupyter notebooks to illustrate the use of various technologies described in this book.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |