![]() Installationįollow the instructions at the Jupyter mother site ). Jupyter Notebook is a successor to the earlier iPython Notebook, started in 2010. It supports many programming languages, of which Python is the most commonly-used. Jupyter Notebook is an easy-to-use data science tool for beginners and educators, in particular for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning. According to Wiki, "A notebook is a book or binder of paper pages, often ruled, used for purposes such as recording notes or memoranda, writing, drawing or scrapbooking." A Jupyter Notebook (just like a paper notebook) integrates code and its output into a single document that combines visualizations, narrative text, mathematical equations, and other rich media. The Jupyter Notebook ) is an open-source web application that allows you to create and share notebooks. ![]() Jupyter Notebook (Recommended for Data Science Projects) (For Windows) You can change the start-up directory of "Anaconda Prompt", by right-right on the program ⇒ Properties ⇒ Shortcut ⇒ change the "start-in".To update a package, start a Anaconda Prompt (as administrator or with sudo) and issue:.$ conda install package_name # For examples, To install a package under Anaconda, start a Anaconda Prompt (as administrator or with sudo) and issue:.# Clean up the conda installation - remove cache, outdated packages, zip files For Linux and Mac OS X, run the commands with " sudo".For Windows, right-click and "run as administrator".To install or update pacakges, you may need the administrator/superuser right: You need to run Conda under the "Anaconda Prompt". Conda Package Management SystemĪnaconda uses the open-source conda package management system for managing packages and their dependencies (install and update), and the environment. Jupyter Notebook: a web-based IDE suitable for data analytics by combining code, documentation, and visual into notebook.Įxplore "Get Started" section, under.Type "help", "copyright", "credits" or "license" for more information. Python 3.7.0 (default) :: Anaconda custom (64-bit) on win32 Anaconda Prompt: a Command-line shell (CMD, Terminal, Bash Shell) for launching the Python Interactive Interpreter.It is available on Linux, Windows, and Mac OS X. Machine Learning Python Packages: scikit-learn.Analytics & Scientific Computing Python Packages: NumPy, Matplotlib, Pandas, SciPy.Among them, the open-source Anaconda Python Distribution ) is probably the most popular for data science, by bundling: Picking a IDE with a powerful graphic debugger is CRITICAL in program development!!! Python's Anaconda Distribution (Recommended for Data Science)īesides the Official Python Distribution from, there are many Python distributions available.
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