#Install box2d python jupyter notebook installIt will install all the other modules that come with Tkinter library. In Windows operating system, we can install the Tkinter library using the command pip install tkinter. It is completely open-source which works on Windows, Mac, Linux, and Ubuntu. Thanks as well to Steven Bunkley and Ziembla who created the docker directory, and to github user SuperYorio who helped on some exercise solutions.Tkinter is a Python library used for creating and developing GUI-based applications. Special thanks go to Haesun Park and Ian Beauregard who reviewed every notebook and submitted many PRs, including help on some of the exercise solutions. I would like to thank everyone who contributed to this project, either by providing useful feedback, filing issues or submitting Pull Requests. #Install box2d python jupyter notebook updateHow do I update my Python libraries to the latest versions, when using Anaconda? How do I update it to the latest version? If you installed Python using MacPorts, run sudo port install curl-ca-bundle in a terminal. If you downloaded Python from the official website, then run /Applications/Python\ 3.8/Install\ mand in a terminal (change 3.8 to whatever version you installed). You probably need to install the SSL certificates (see this StackOverflow question). If the problem persists, please check your network configuration. #Install box2d python jupyter notebook codeIf you're getting an HTTP error, make sure you're running the exact same code as in the notebook (copy/paste it if needed). Make sure you call fetch_housing_data() before you call load_housing_data(). ![]() I'm getting an error when I call load_housing_data() Most code will work with other versions of Python 3, but some libraries do not support Python 3.9 or 3.10 yet, which is why I recommend Python 3.8. If you follow the installation instructions above, that's the version you will get. If you need further instructions, read the detailed installation instructions. Next, clone this project by opening a terminal and typing the following commands (do not type the first $ signs on each line, they just indicate that these are terminal commands): Start by installing Anaconda (or Miniconda), git, and if you have a TensorFlow-compatible GPU, install the GPU driver, as well as the appropriate version of CUDA and cuDNN (see TensorFlow's documentation for more details). Want to install this project on your own machine? ![]() Want to run this project using a Docker image? 's notebook viewer also works but it's not ideal: it's slower, the math equations are not always displayed correctly, and large notebooks often fail to open. Just want to quickly look at some notebooks, without executing any code? ![]() WARNING: Please be aware that these services provide temporary environments: anything you do will be deleted after a while, so make sure you download any data you care about. ![]() Use any of the following services (I recommended Colab or Kaggle, since they offer free GPUs and TPUs). Quick Start Want to play with these notebooks online without having to install anything? Note: If you are looking for the first edition notebooks, check out ageron/handson-ml. It contains the example code and solutions to the exercises in the second edition of my O'Reilly book Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow: This project aims at teaching you the fundamentals of Machine Learning in
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