But P圜harm has a bit of learning curve, such as setting up its interpreter, figuring out how to run your selection of code and not the whole code etc. You install it, open it, and you just know how it works. Learning Curve: I think Spyder‘s popularity with Data Scientists comes from the fact that it is very simple.The plot rendering in P圜harm takes significantly more time compared to Spyder. You can visualize the dataframes in P圜harm too, but its nowhere close to Spyder’s. Data visualization: Spyder’s greatest strength for me is its variable explorer.Memory hog: P圜harm consumes around 1.5GB of my Mac’s memory.With all these benefits, there are a few downsides as well: This comes very handy while writing stand-alone scripts. This is not so visibly direct in P圜harm, but is available (Option + Shift + E in Mac). You select the part of code you want to run, and just do a cmd+return. Running code in chunks: This is something that is very natural in Spyder.You can create debug points and check your code behavior at that point. Debugger: This is present in Spyder too, but somehow I never used it with Spyder.You can also easily do code-refactoring, check dependencies of an object, trace an object’s source etc very easily. All these are handled quite easily with P圜harm. Project maintenance: When you are working on large projects, there are several best-practices that need to be maintained, such as creating a readme file, using virtual environments, managing requirements file etc.A few other noteworthy plugins are git, flask, vim etc. You can even work with iPython notebooks, though frankly it seemed messy and I would just go with Jupyter for notebooks. So when you work with config files such as yaml/json/ini, or with shell scripts, or with sql/html/css files, the IDE knows what format is expected and does the indentation, highlighting keywords etc out-of-box. Plugins: P圜harm offers a lot of plugins to non-pythonic files too.You can also compare your file with the latest file from git commit, to view your changes. Version Control: You can view your git change-log from within the IDE.Did I mention we can directly do git push from the Terminal present within IDE? You can always view which branch you are on, which files are in modified, add, commit states (based on their color in project view) etc. Just from the IDE, you can add what all files needs to be added to gitignore, add, and commit. Git: Talking about git, P圜harm offers git integration.

Terminal: You get a shell script right in the IDE, which helps easy access to several functionalities such as - testing your script from command line, downloading data files from gs/aws, git interaction.

P圜harm with its beautiful ‘Dracula’ theme

Spyder vs pycharm