{"id":617,"date":"2020-08-31T21:39:13","date_gmt":"2020-08-31T21:39:13","guid":{"rendered":"https:\/\/mark-baerthel.de\/?p=617"},"modified":"2020-11-13T13:07:23","modified_gmt":"2020-11-13T13:07:23","slug":"python-editor-comparison-sdk-data-science","status":"publish","type":"post","link":"https:\/\/mark-baerthel.de\/index.php\/2020\/python-editor-comparison-sdk-data-science\/","title":{"rendered":"Python editor for data science (a pragmatic guide)"},"content":{"rendered":"\t\t
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There is a fast selection of editors, IDEs and tools out there to develop your Python<\/a> projects. This blog post will aims at providing a pragmatic hands-on guide for data scientists that transfer from tools like SPSS, STATA, RStudio etc.<\/p>\n

MS Visual Studio<\/h2>\n

There is a fast selection of editors, IDEs and tools out there to developyour Python projects. This blog post will aims at providing a prgmatic hand-on guide for data scientists that transfer from tools like SPSS, STATA, RStudio etc.<\/p>\n

https:\/\/visualstudio.microsoft.com\/de\/<\/p>\n

Notepad++<\/h2>\n

This is where the discussion IDE vs. editor comes into play. If you want to keep it simple, Notepad++ gives you the unspoiled and down-to-earth experience without any distractions.<\/p>\n

https:\/\/www.heise.de\/download\/product\/notepad-26659<\/p>\n

Jupyter Notebook<\/h2>\n

If collaboration is key for you and you are a great fan to work from anywhere in your browser, especially on smaller projects, Jupyter is a fantastic tool. However, note my comments on how Spyder and VS Code integrate Jupyter notebooks.<\/p>\n

https:\/\/jupyter.org\/<\/p>\n

<\/p>\n

Sublime Text<\/h2>\n

Sublime Text 3 is a super fast environment. However, it is not completely free, harder to build a great setup and therefore I am already out. Full disclosure, I have ruled out this tool for my projects very early. Therefore, I do not want to extend my criticism much further.<\/p>

https:\/\/www.sublimetext.com\/
<\/p>\n

PyCharm<\/h2>\n

Spyder is the best IDE for data scientist I have come across so far. Great editor, great data browser and variable control. Build in console, build in graphic support and super great set-up experience and package management via Anaconda. I like the Jupyter Notebook integration, the mark-up editor \u2013 just everything.<\/p>\n

For someone transferring from RStudio etc. it feels right from the start, and provides everything you need out of the box.<\/p>\n

https:\/\/www.jetbrains.com\/de-de\/pycharm\/<\/p>\n

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References:<\/p>

https:\/\/www.geeksforgeeks.org\/python-ides-for-data-science\/<\/a><\/p>

https:\/\/www.datacamp.com\/community\/tutorials\/data-science-python-ide<\/a><\/p>

https:\/\/medium.com\/@fabisiakradoslaw\/6-best-python-ides-for-machine-learning-data-science-and-web-development-bc0063ef01fe<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

There is a fast selection of editors, IDEs and tools out there to develop your Python projects. This blog post will aims at providing a pragmatic hands-on guide for data scientists that transfer from tools like SPSS, STATA, RStudio etc. MS Visual Studio There is a fast selection of editors, IDEs and tools out there to developyour Python projects. This blog post will aims at providing a prgmatic hand-on guide for data scientists that transfer from tools like SPSS, STATA, RStudio etc. https:\/\/visualstudio.microsoft.com\/de\/ Notepad++ This is where the discussion IDE vs. editor comes into play. If you want to keep […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[19,20,18,17],"class_list":["post-617","post","type-post","status-publish","format-standard","hentry","category-tools","tag-editor","tag-ide-2","tag-pyhton","tag-tools-2"],"yoast_head":"\nComparison python editor data science<\/title>\n<meta name=\"description\" content=\"Choosing the right python editor sdk can be cruicial for your data science workflow. Here is our comparison.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mark-baerthel.de\/index.php\/2020\/python-editor-comparison-sdk-data-science\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comparison python editor data science\" \/>\n<meta property=\"og:description\" content=\"Choosing the right python editor sdk can be cruicial for your data science workflow. 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