{"product_id":"2940157704377","title":"Try Python - For Beginners: Book 2","description":"Congratulations! You have already read the first book of this series Try Python - for Beginners: Book 1. You wrote some Python code, not much, but you actually enjoyed it and now you want to learn more. In Book 1, you dabbled in Python using the Jupyter Notebook but you did not actually install anything on your computer. You were just giving Python a try without a lot of commitment on your part. In Book 2, I am going to show you how to install the Jupyter Notebook and all of the Python libraries you will need to get started. We will also cover certain topics on how to manage your Python installation. Let's get started!\u003cbr\u003e\u003cbr\u003e\u003ch1\u003eWho this book is for\u003c\/h1\u003e\u003cbr\u003eIf you are looking for instructions on how to get Python 3 installed on your computer then this book is for you.\u003cbr\u003e\u003cbr\u003e\u003ch1\u003eThe Anaconda Distribution\u003c\/h1\u003e\u003cbr\u003eThis book provides you with very detailed step-by-step instructions on how to install Python 3 and a bunch of other Python libraries on your laptop.\u003cbr\u003e\u003cbr\u003e\u003cul\u003e\n\u003cbr\u003e  \u003cli\u003eHow to install Anaconda\u003c\/li\u003e\n\u003cbr\u003e  \u003cli\u003eHow update Python using the Command Prompt\u003c\/li\u003e\n\u003cbr\u003e  \u003cli\u003eHow to update conda\u003c\/li\u003e\n\u003cbr\u003e  \u003cli\u003eHow to update Python libraries\u003c\/li\u003e\n\u003cbr\u003e  \u003cli\u003eHow to install Python libraries\u003c\/li\u003e\n\u003cbr\u003e  \u003cli\u003eHow to delete Python libraries\u003c\/li\u003e\n\u003cbr\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003ch1\u003eBONUS: Cheat Sheet included\u003c\/h1\u003e\u003cbr\u003e\u003cul\u003e\n\u003cbr\u003e  \u003cli\u003eHow to remove old packages that are not being used\u003c\/li\u003e\n\u003cbr\u003e  \u003cli\u003eHow to get a list of installed Anaconda packages\u003c\/li\u003e\n\u003cbr\u003e  \u003cli\u003eHow to use easy_install or pip as a fall back to conda\u003c\/li\u003e\n\u003cbr\u003e\n\u003c\/ul\u003e \u003cbr\u003e \u003cbr\u003eTags: python windows, ipython notebook, learn python, jupyter, pandas, python for data science","brand":"David Rojas","offers":[{"title":"Default Title","offer_id":47115048517872,"sku":"2940157704377","price":0.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/2940157704377_p0.jpg?v=1764101426","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/2940157704377","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}