It is currently used by popular companies such as Google, Microsoft, IBM, etc.
Another major feature of the Jupyter notebook is that it can display plots that are the output of running code cells. Some of the features specific to machine learning are that it has been integrated with libraries like matplotlib, NumPy, and Pandas. Some of the uses of Jupyter notebook includes data cleaning, data transformation, statistical modelling, and machine learning.
One can explore the same data with libraries such as pandas, scikit-learn, ggplot2, dplyr, etc.
It is open source and is used for web and Internet development (with frameworks such as Django, Flask, etc.), scientific and numeric computing (with the help of libraries such as NumPy, SciPy, etc.), software development, and much more. In general, an IDE consists of an editor, a compiler (or interpreter), and a debugger which can be accessed through a graphic user interface(GUI).Īccording to Wikipedia, “Python is a widely used high-level, general-purpose, interpreted, dynamic programming language.” Python is a fairly old and a very popular language. This is a key step in being able to write and deploy powerful automation tools.An integrated development environment is an application which provides programmers and developers with basic tools to write and test software.
We’ll also explain how to set up your own developer environment in your machine. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports. We'll even touch on automatic testing, which allow us to automate how we check if our code is correct.
We'll also dive into Bash scripting and regular expressions - both very powerful tools for anyone working with systems. We'll then learn how to read and write different types of files, and use subprocesses and input streams. We’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. That’s a super useful skill for IT Specialists to know. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. You’ll also have learned about regular expressions - a very powerful tool for processing text files - and you’ll get practice using the Linux command line on a virtual machine. By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system.