Become a Jupyter pro
Jupyter is a great flexible tool that helps you to create and share documents that contain live code, equations, visualizations, and narrative text. The name Jupyter is an indirect acronym of the three core languages it was designed for:
Julia, Python, R and is inspired by the planet Jupiter.
#artificial-intelligence #data-science #python #machine-learning #programming
Nosso convidado de hoje é diretor técnico na Work & Co, PhD em Ciências da Computação, já contribuiu com inúmeros projetos open source em Python, ajudou a fundar a Associação Python Brasil e já foi premiado com o Prêmio Dorneles Tremea por contribuições para a comunidade Python Brasil.
Jupyter Notebook is an online computational notebook that allows you to combine code, comments, media, and visualizations in interactive documents. It has quickly become one of the most popular online computational notebooks, used by top companies such as Google, Microsoft, and NASA. Today, we’re going to explore Jupyter Notebooks and discuss their benefits and how to get started.
#jupyter #python #jupyter-notebook
First, let’s talk about both Lab and Notebook separately and then will talk about the differences.
Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebook documents. It supports several languages like Python (IPython), Julia, R, etc. and is mostly used for data analysis, data visualization, and other interactive, exploratory computing. For beginners in data science, jupyter notebook is more preferred; it only consists of a file browser and a (notebook) editor view, which is easier to use. When you get familiar with it and need more features(which we will talk about later), you can then definitely switch to JupyterLab.
JupyterLab is the next-generation user interface, including notebooks. It has a modular structure, where you can open several notebooks or files (e.g., HTML, Text, Markdowns, etc.) as tabs in the same window. It offers more of an IDE-like experience. JupyterLab uses the same Notebook server and file format as the classic Jupyter Notebook to be fully compatible with the existing notebooks and kernels. The Classic Notebook and Jupyterlab can run side to side on the same computer. One can easily switch between the two interfaces. The interface of both Lab and notebook are similar, except the panel of the file system on the left side in Jupyter lab. You can see that in the images below.
#programming #jupyter #jupyter-notebook #jupyterlab #data-science
If you’re one of many data scientists looking for a job, you might find yourself working on a data science take-home assignment. Instead of sharing your Jupyter Notebooks, it would be neater if you could convert the notebooks and submit the pdf version. In this blog, I want to share how you can turn Jupyter Notebooks into pdf format in a few lines!
nbconvert allows users to convert Notebooks to other formats. You would think after installing nbconvert, and you are good to go…right? If it’s that simple, why would I be writing this post?
After I installed nbconvert, I received an error saying “500: Internal Server Error.” The reason why you see this error is that you will need to install LaTeX or Pandoc as well. I decided to download LaTeX. The good thing about downloading LaTeX is that it makes your analysis look like a research paper, which is very legit.
#template #convert #jupyter-notebook #jupyter #python
I have recently started writing about Data Science and Python on Medium. One of the time taking activity when writing any technical articles is to provide the supporting reproducible code. I have been using GitHub Gist and sometimes a screenshot of the code from Jupyter Notebook or other Python editor. But it all takes time as we need to toggle between Medium editor and Gist or other Python editor.
How about if we can directly import Jupyter Notebook to Medium as a draft? Yes!! That’s possible with the help of the
**jupyter-to-medium** library which is released recently. Now, we can start writing stories using Jupyter notebook and we can quickly import to Medium as a draft story. Then make the necessary changes and then submit the publication.
_The author _Ted Petrou_ says__ — I’ve published dozens of blog posts on Medium myself with all of them beginning as Jupyter Notebooks. Manually converting them to Medium posts was a fairly lengthy, painstaking process. One particularly painful process was inserting tables, which Medium does not support, into my posts. Nearly all of my posts contain numerous pandas DataFrames (such as this one, which has 40! DataFrames) which are represented as HTML tables within a notebook. I’d take screenshots of each one to insert them into my Medium posts._
pip install jupyter_to_medium
After the installation, confirm by checking the extension as below. If it’s not showing up, you may restart the Jupyter notebook and also try running the below command to manually enable the extension.
#jupyter #jupyter-notebook #programming #ｍedium #data-science #data science