- JUPYTER NOTEBOOK ONLINE USE LIBRARY EXAMPLE PORTABLE
- JUPYTER NOTEBOOK ONLINE USE LIBRARY EXAMPLE SOFTWARE
- JUPYTER NOTEBOOK ONLINE USE LIBRARY EXAMPLE CODE
JUPYTER NOTEBOOK ONLINE USE LIBRARY EXAMPLE CODE
After all, shouldn’t your code be so clear and self-explanatory that it doesn’t need comments? This approach might sound repugnant to modern developers. In a typical literate programming file, programming code is interspersed with prose in a natural English-like language that describes what the code does. Literate programming aims to break down the barriers between code and natural language. Jupyter is, essentially, a modern reincarnation of Donald Knuth’s Literate Programming.
JUPYTER NOTEBOOK ONLINE USE LIBRARY EXAMPLE SOFTWARE
I’ll be honest, if you’re an experienced software developer who is accustomed to an IDE like Eclipse or a text editor like Visual Studio Code, Jupyter is going to seem weird. It allows you to put data, code, visualizations, documentation, and more into a single notebook. Jupyter is a web application that acts like a container for data science projects.
JUPYTER NOTEBOOK ONLINE USE LIBRARY EXAMPLE PORTABLE
Working with tables of data this way - by cleaning and transforming the data using clean, easy-to-understand Python - is usually much quicker and more portable for developers than point-and-click your way through complex, built-in Excel functions or writing custom VBA code. Performing operations like removing rows that don’t meet certain criteria, automatically removing columns that have too many missing values, or adding new columns calculated from existing columns can usually be done with a single function call. This makes it very easy to analyze and clean up data sets. When you import data into a Pandas, you get a DataFrame object that represents your data as a series of columns and rows - much like you’d see in an Excel worksheet. Pandas is a flexible, high-performance, open-source Python library built specifically to provide data structures and analysis tools for data scientists.Īs a developer, you’ll find that Pandas is like a programmatic, GUI-free Excel.
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