Top 5 IDE's for Python

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Top 5 IDE's for Python


IDEBest ForKey FeaturesProsConsPricing
PyCharmProfessional/large projectsIntelligent code completion & refactoring, advanced debugging & testing, framework support (Django/Flask), version control integrationFull-featured for Python & web apps; Built-in toolsHeavy on resources; Professional edition is paidFree (Community) / Paid (Professional) 
Visual Studio Code (VS Code)All-purpose dev, beginners to prosLightweight editor with Python extensions, debugger, Git integration, terminal, rich plugin ecosystemFree; fast; highly customizableNeeds extensions for full Python IDE featuresFree
JupyterLab / Jupyter NotebookData science, ML, researchInteractive notebook interface, visualizations, cell-by-cell executionGreat for data/ML work; interactive explorationNot optimized for large app developmentFree  
SpyderScientific computing & data analysisMATLAB-like layout, variable explorer, IPython consoleTailored for data science workflowsNot ideal for general dev or large appsFree  
ThonnyBeginners & learnersSimple UI, beginner-friendly debugger, step-through executionVery easy learning curveLimited advanced featuresFree  

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Quick Summary

Source: 9meters+1

  • PyCharm — Best all-around IDE for serious Python developers and large projects with deep tooling support. 9meters

  • VS Code — Flexible and lightweight; great for general workflows and multi-language projects with extensions. 9meters

  • JupyterLab/Notebook — Ideal if you’re doing data science, machine learning, visualization, or interactive work. 9meters

  • Spyder — Excellent choice within scientific domains and for real-time data inspection. 9meters

  • Thonny — Perfect starter IDE if you’re new to Python. 9meters

If you want, I can tailor this comparison to specific tasks (e.g., data science vs web dev) or include editors that act like IDEs (like Sublime Text or Atom).


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