Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

File and folder Input/Output (I/O) is a critical aspect of business analytics, and Python provides a number of tools and functions that make it easy to read and write data to and from files and folders.

One of the most basic forms of file I/O in Python involves reading and writing plain text files. This can be accomplished using the built-in “open” function, which opens a file and returns a file object that you can use to read or write to the file. The “read” method can be used to read the entire contents of a file, while the “write” method can be used to write data to a file.

In addition to reading and writing plain text files, Python also provides support for reading and writing other types of files, including CSV (Comma Separated Value) files, which are often used for storing data in tabular format. The “csv” module provides a number of functions for reading and writing CSV files, including the “reader” and “writer” objects, which make it easy to read and write data from these files.

Another important aspect of file I/O in Python is the ability to work with folders and directories. The “os” module provides a number of functions for working with folders and directories, including the “mkdir” and “rmdir” functions for creating and deleting folders, and the “listdir” function for listing the contents of a directory.

In addition to the built-in functions and modules, there are also a number of third-party libraries available that provide additional functionality for working with files and folders in Python. For example, the “glob” library can be used to search for files and folders that match a specific pattern, and the “shutil” library provides a number of functions for copying, moving, and deleting files and folders.

Whether you’re reading and writing data from text files, CSV files, or working with folders and directories, Python provides a number of tools and functions that make it easy to perform these tasks efficiently and effectively. Whether you’re a seasoned business analyst or just starting out, Python is a powerful and flexible platform that can help you get the most out of your data.

Python for Business Analytics – Basic Files & Folders I/O

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