jupyter tutorial

Ubuntu Desktop 16.04 LTS installed system by default Python has two different versions (2.7.12 and 3.5.2)Now familiarize yourself with the kernel configuration process for the two different Python versions of Jupyter python:1. Download the different Python kernel versions separatelyThe command is as follows:sudo pip2 install Ipykernelsudo pip3 install Ipykernel2. Install a different Python kernel versionThe command is as follows:sudo python2-m ipykern

In the near future, whether you do data analysis or emergency reply to do ppt, you may need to draw some of the data display diagram; Before we all use Excel to draw, but Excel drawing has certain limitations, such as you want to draw a cumulative histogram, Excel is very troublesome, So let's introduce a Python-based interactive data analysis tool, Ipython notebook. This article will introduce you to the beginning of the installation and use of notebook from scratch

mac install Python and Jupyter notebook python installation (anaconda) Mac comes with Python2 version of Python, it's usually 3, Anaconda is a python version, anaconda2 corresponds to Python2 version, anaconda3.6 for python3 version, just download HTTPS on the website ://www.continuum.io/downloads/the appropriate version.After downloading can be installed by default, direct installation complete.After the installation is complete, do the following a

Use pyenv and vtualenv for environmental isolation, use jupyter to facilitate our learningNew userAll operations should be done in a separate user, not using the root useruseradd pythonPYENV installation PyenvIsolation of the development version and the package version usedGitHub AddressThe installation process is performed in CentOS, with the Epel source in mindInstall Gityum install git -yInstallation dependenciesyum -y install gcc make patch gdbm-d

Tags: install import article pip alt pytho add Ash plainWelcome to the big Data and AI technical articles released by the public number: Qing Research Academy, where you can learn the night white (author's pen name) carefully organized notes, let us make a little progress every day, so that excellent become a habit!1. Install Jupyter notebook using PIP:Pip Install Jupyter Notebook2. Create

Application scenarios in order to be able to develop spark programs in Jupyter, Bowen records the process of configuring spark development environment in Jupyter. Many blogs can not effectively build jupyter spark development environment. Prerequisite Components Spark Downloads Spark-2.3.0-bin-hadoop2.7.tgz Apache Toree Apache Toree has one main goal:provide the

At the beginning of the installation of Python, the latest version of python3.6 is installed. And afraid of problems, the choice is the default installation path. I don't think there's going to be a problem. At first it did, and everything went well with the installation of Modgodb. However, there was a problem when installing Jupyter botebook.When I installed MongoDB, I was prompted that the PIP version is 8.1.2, the latest edition is 9.0.0, I did no

do not even need to write a line of the socket function call can complete the complex network communication work.3. Installing tornadoTornado is a non-blocking server written by Python that uses Epoll to manage connections and handle thousands of connections per second, which is an ideal Web real-time processing framework.4. Installing JINJA2JINJA2 is the next widely used template engine in Python, and his design idea comes from the Django templating engine, which expands its syntax and a host

In the process of working today, you encounter the problem of installing Anaconda using Conda to create a virtual environment, but after starting Jupyter notebook, you cannot find Python kernel in the virtual environment. Later on the internet found a solution, as follows:Create a virtual environmentFirst look at the commands that created the virtual environment at that time:conda create -n rqalpha python=3.5Use this command to create a rqalpha virtua

The following small series for everyone to bring a TensorFlow installation and Jupyter notebook configuration method. Small series feel very good, now share to everyone, also for everyone to make a reference. Let's take a look at it with a little knitting. TensorFlow using Anaconda in Ubuntu installation method and Jupyter notebook run directory and Remote access configuration Install Anaconda under Ubuntu

Jupyter notebook installation and use, jupyternotebook Jupyter Notebook (formerly known as IPython notebook) is an interactive Notebook that supports running more than 40 programming languages. Install Install python 3 Pip InstallationPip3 install -- upgrade pipPip3 install jupyter Run When jupyter