Introduction to Python || Development Environments Best Python IDEs and Code Editors You Should Kno

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Everything you need to know about Python and Python IDEs.
In this video I'll be showcasing the best python editors and ides. These software tools help to speed up your coding and come with a ton of useful features. Each python IDE and editor on this list has its pros and cons and different use cases associated with it. Do you agree with my list? Let me know!
Introduction to Python| Best Python IDEs and Code Editors | Development Environments Best Python IDEs and Code Editors You Should Know
? Editors Featured
⌨ PyCharm: https://www.jetbrains.com/pycharm/
⌨ VsCode: https://code.visualstudio.com/
⌨ Vim: https://www.vim.org/download.php
⌨ Atom: https://atom.io/
⌨ Sublime: https://www.sublimetext.com/
Looking for the best IDE development environment or platform to write Python programs? Some of the top IDEs and Code Editors are ranked here for Windows and Mac, including Pycharm and Jupyter notebook.

Best Python Development Environments
What is a code editor? Text editor with syntax highlighting, code completion, refactoring, etc.
What is an IDE? Code editor, build automation, compiler/interpreter, debugger, package manager, version control, class & function mapping.

IDEs:
1. PyCharm - integrated dev environment.
Windows, Mac, Linux.
Free (Community) and Paid (Professional) versions
Editing w/ syntax highlighting, run and debug.
2. Spyder - included in Anaconda. Good for data science, but PyCharm is probably better for anything else.
3. Eclipse + PyDev - Windows, Mac, Linux.
4. Visual Studio Code (Microsoft) - Windows, Mac, Linux.
5. IDLE - Windows, Mac, Linux. -- too basic. lacks high-end features.
More: Wing, Komodo, Emacs, Eric.
CODE EDITORs:
1. Notepad++ - Windows only. Free. Lighter weight and faster for Windows, but no Mac version.
2. Sublime Text - Windows, Mac, Linux. Free eval, $70.
3. Atom - Windows, Mac, Linux. Free. Browser based. from GitHub.
4. VIM - Windows, Mac, Linux.
Jupyter Notebook - awesome browser-based. allows combo of markdown, comments, output in small blocks of code, so perfect for instruction.
Enthought Canopy - similar to Anaconda. built in package manager. great for scientific computing.

WINNERS: PyCharm, Notepad++, Sublime, Jupyter
for Anaconda users, Spyder
for Eclipse fanatics, PyDev
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