Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
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Python IDLE
Score 8.7 out of 10
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Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.
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Pricing
Posit
Python IDLE
Editions & Modules
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Pricing Offerings
Posit
Python IDLE
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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Community Pulse
Posit
Python IDLE
Considered Both Products
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Chose Posit
Posit is way way way more reliable than Excel for anything more involved than a quick spreadsheet. Faster speeds, greater charting abilities, flexible functionality and more efficient memory usage. Python is still my go-to for anything that needs integration, but Posit beats …
RStudio is as good as any software available in the market and is better off than some as it is free. Since it is open source it is improving day by day. I would prefer RStudio over any other tool any day. I would recommend every data analyst to give RStudio a try.
In the space of data science tools, code is king. It enables use of standard version control systems like git, access to a wealth of expertise via StackOverflow and others, is commonly used in modern education programs, and more. Other solutions in this space are built on …
JMP is more customizable. It also has very good drag and drop graphing capabilities, which are not present in RStudio. Data exploration is much more convenient with JMP. However, the analysis work is better with RStudio since it is a bit hard to tweak the JMP built-in models.
With RStudio I can easily deploy insightful information and I can update it. Moreover, it takes minutes normally to resolve most of the new requests or to scale if needed. I have the control of my code and I can translate it into digestible reporting.
Most bioinformaticians and scientists prefer coding in R, however python is the widely used language also. I have seen that Rstudio has definitely improved and the addition of python capability has made it easier for both python and R programmers. The built in terminal has also …
Python IDEs like Spyder or Jupyter Notebooks are not steady and stable as compared to RStudio. The newer version of Python or Installing new Library corrupted the Spyder or Jupyter Notebook versions, not same with RStudio! There are not easily available tools like RShiny in order …
RStudio offers less out-of-the-box point and click solutions than other products, but it allows for custom solution development and its integration with the Shiny package in particular allows for the custom development of point and click solutions.
It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter …
Python IDLE is very easy to use compared to PyCharm. So for simple python scripting, Python IDLE is preferable to PyCharm, which has relatively steep learning curve. Compared to Python IDLE, PyCharm is more resource intensive, which may be worth it when comes to large projects, …