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Now, click on Folder Options or File Explorer Option, as it is now called > View tab.В In this tab, under Advance Settings, you will see the option Hide extensions for known file types.

In Microsoft Windows: OpenВ Control Panel >В Appearance and Personalization.

If you canвЂ™t see the вЂњ.txtвЂќ extension in your folder when you view it, you will have to change your settings. To check if file extensions are showing in your system, create a new text document with Notepad (Windows) or TextEdit (Mac) and save it to a folder of your choice. TXT is text, DOCX is Microsoft Word, PNG are images, CSV is comma-separated value data. Different file contents are denoted by the file extension, or letters after the dot, of the file name. Before working with CSV files, ensure that you can see your file extensions in your operating system.

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The first step that any self-respecting engineer, software engineer, or data scientist will do on a new computer is to ensure that file extensions are shown in their Explorer (Windows) or Finder (Mac) windows.ДЇolder with file extensions showing. The вЂњCSVвЂќ in this case lets the computer know that the data contained in the file is in вЂњcomma separated valueвЂќ format, which weвЂ™ll discuss below.ДЇile extensions are hidden by default on a lot of operating systems.

A CSV file is a file with a вЂњ.csvвЂќ file extension, e.g.

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Other well known file types and extensions include: XLSX: Excel, PDF: Portable Document Format, PNG вЂ“ images, ZIP вЂ“ compressed file format, GIF вЂ“ animation, MPEG вЂ“ video, MP3 вЂ“ music etc.

IMG_5673.JPG вЂ“ An image file called IMG_5673.

shanes_file.TXT вЂ“ a simple text file called shanes_file.

project1.DOCX вЂ“ a Microsoft Word file called Project1.

So, a filename is typically in the form вЂњ.вЂќ.

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Computers determine how to read files using the вЂњfile extensionвЂќ, that is the code that follows the dot (вЂњ.вЂќ) in the filename.

Each file contains data of different types вЂ“ the internals of a Word document is quite different from the internals of an image.

Data is stored on your computer in individual вЂњfilesвЂќ, or containers, each with a different name.

The first step to working with comma-separated-value (CSV) files is understanding the concept of file types and file extensions.

CSV data formats and errors вЂ“ common errors with the function.Д®ach of these topics is discussed below, and we finish this tutorial by looking at some more advanced CSV loading mechanisms and giving some broad advantages and disadvantages of the CSV format.

Understanding the Python path and how to reference a fileВ вЂ“ what is the absolute and relative path to the file you are loading? What directory are you working in?.

Understanding how data is represented inside CSV files вЂ“ if you open a CSV file, what does the data actually look like?.

Understanding file extensions and file types вЂ“ what do the letters CSV actually mean? WhatвЂ™s the difference between a.

While this code seems simple, an understanding of three fundamental concepts is required to fully grasp and debug the operation of the data loading procedure if you run into issues: # Preview the first 5 lines of the loaded data # Control delimiters, rows, column names with read_csv (see later) # (in the same directory that your python process is based)

The basic process of loading data from a CSV file into a Pandas DataFrame (with all going well) is achieved using the вЂњread_csvвЂќ function in Pandas: # Load the Pandas libraries with alias 'pd'

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