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- #How to save file as python on sublime for mac how to
- #How to save file as python on sublime for mac code
The most obvious key feature is syntax highlighting. ? (And then if you want to go deeper, you can find on Youtube some more in-depth tutorials anyway.) Syntax highlighting In this article, I’ll list only a few of my favorite features that I use in my data science projects day-to-day - you know, just to whet your appetite.
#How to save file as python on sublime for mac how to
There are hour-long online courses about how to get the most out of Sublime Text 3. Sublime Text 3: a few key features that will make your coding life easier and happier It’s much faster, much smoother and much more efficient than anything else you’ve used before. For instance, I’ve used mcedit for years… But once you try Sublime Text 3, there is no going back. You can use them from the command line and mcedit even has a nice, visual, point-and-click type of interface - similar to Sublime Text.īut while many data scientists love these old-school script editors, in my experience, they are not user-friendly enough. These are all good tools for editing scripts and code. Many data scientists use vim or nano - or my favorite: mcedit. Sublime is not the one and only text editor for coding.
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#How to save file as python on sublime for mac code
Sublime Text colors your code according to the syntax you use.Except that Sublime Text 3 is specialized for coding. You can type text in it and you can save that in different file formats. It’s like TextEdit (on Mac) or Notepad (on Windows). Sublime Text 3 is a text editor for coding. I’m not affiliated with the Sublime Text team in any way. Note: After writing and re-reading this article, I’ve realized that I speak very highly of Sublime Text 3… So just in case, let me add here: I praise it because I love it. What are its best features for data scientists?.It’s Sublime Text 3! In this article, I’ll show you: But I’ve realized that I’ve never introduced my favorite script editor. Load multiple Excel (*.xlsx, *.I’ve written about the importance of scripting in data science.Load Excel data table to a Python pandas dataframe.Get member details from an Outlook distribution list with Python.Excel Formula: Find overlapping date ranges.Python pandas: lookup value for dates from date ranges.Here you can a find a list of python standards encoding. I do not really have a final conclusion here maybe only that file encoding matters and be cautious when working with CSV files and you know nothing about how they were created :). Print('Endcoding with chardet: ' + str(get_file_encoding_chardet(csv_file_path))) Print('Endcoding: ' + str(get_file_encoding(csv_file_path))) Get the encoding of a file using chardet packageĬsv_file_path = input('Please enter csv filename: ') Python Codeĭef get_file_encoding_chardet(file_path): In case of the first try I got back ‘cp1250’ for both files, in case of the second try I got back ‘ascii’ for the “simple” CSV and ‘UTF-8-SIG’ for the CSV UTF-8. I tried to identify a CSV file encoding in two ways (both found on Stack Overflow).Īt first I went for the encoding property of a file (first try), then secondly I tried out the chardet package (second try). So it is definitely better habit to save your Excel file as ‘CSV UTF-8’. Then I saved the very same file as CSV UTF-8, encoding came back as ‘UTF-8-BOM’: I saved a simple Excel file first as CSV, encoding came back as ‘Undefined’: In Sublime Text 3 there is very useful command: view.encoding() it is showing the current file encoding. Those who are interested in the encoding topic there is a good beginner article on the W3C (World Wide Web Consorcium) website.įrom an Excel user perspective I found another very descriptive post about how Excel creates CSVs. By searching for solution I concluded it is not as easy as I thought first, and basically the best if you know in advance what is the encoding type of your CSV file. At least that was the case with me when I used the pandas library and tried to create a data frame from a csv file, but continuously received a UnicodeError message and almost went crazy. Sometimes it is good to know what is the encoding type of the file you are working with.