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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Python IDLE

    Score8.6 out of 10
    N/APython'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.

    $0

    SAS Enterprise Miner

    Score9 out of 10
    N/ASAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.N/A
    Pricing
    Python IDLESAS Enterprise Miner
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Python IDLESAS Enterprise Miner
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Python IDLESAS Enterprise Miner
    Considered Both Products
    Python Software Foundation
    No answer on this topic
    SAS
    No answer on this topic
    Key User Insights
    Would buy again
    83%
    Would buy again
    5 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    No answers on this topic
    Happy with the feature set
    83%
    Happy with the feature set
    5 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    Python IDLESAS Enterprise Miner
    Platform Connectivity
    Comparison of Platform Connectivity features of Python IDLE and SAS Enterprise Miner
    Feature
    Python IDLE
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    5% above category average
    Connect to Multiple Data Sources00 Ratings8.14 Ratings
    Extend Existing Data Sources00 Ratings9.04 Ratings
    Automatic Data Format Detection00 Ratings9.34 Ratings
    MDM Integration00 Ratings9.02 Ratings
    Data Exploration
    Comparison of Data Exploration features of Python IDLE and SAS Enterprise Miner
    Feature
    Python IDLE
    -
    Ratings
    SAS Enterprise Miner
    8.1
    4 Ratings
    4% below category average
    Visualization00 Ratings7.14 Ratings
    Interactive Data Analysis00 Ratings9.14 Ratings
    Data Preparation
    Comparison of Data Preparation features of Python IDLE and SAS Enterprise Miner
    Feature
    Python IDLE
    -
    Ratings
    SAS Enterprise Miner
    8.0
    4 Ratings
    2% below category average
    Interactive Data Cleaning and Enrichment00 Ratings7.84 Ratings
    Data Transformations00 Ratings8.24 Ratings
    Data Encryption00 Ratings8.12 Ratings
    Built-in Processors00 Ratings8.12 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Python IDLE and SAS Enterprise Miner
    Feature
    Python IDLE
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    4% above category average
    Multiple Model Development Languages and Tools00 Ratings7.54 Ratings
    Automated Machine Learning00 Ratings9.82 Ratings
    Single platform for multiple model development00 Ratings8.54 Ratings
    Self-Service Model Delivery00 Ratings9.23 Ratings
    Model Deployment
    Comparison of Model Deployment features of Python IDLE and SAS Enterprise Miner
    Feature
    Python IDLE
    -
    Ratings
    SAS Enterprise Miner
    7.8
    4 Ratings
    9% below category average
    Flexible Model Publishing Options00 Ratings7.04 Ratings
    Security, Governance, and Cost Controls00 Ratings8.54 Ratings
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    Python IDLESAS Enterprise Miner
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    Score8.8 out of 10
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    Score8.9 out of 10
    Medium-sized Companies
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    Score9.3 out of 10
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    Score8.8 out of 10
    Enterprises
    WebStorm
    Score9.6 out of 10
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    Score10 out of 10
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    User Ratings
    Python IDLESAS Enterprise Miner
    Likelihood to Recommend
    3.7
    (7 ratings)
    9.9
    (4 ratings)
    Usability
    8.2
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    8.0
    (1 ratings)
    10.0
    (2 ratings)
    User Testimonials
    Python IDLESAS Enterprise Miner
    Likelihood to Recommend
    Python Software Foundation
    Scenarios where python IDLE is well suited 1-Quick scripting and prototyping 2-Education and training 3-small projects utilities 4-exploring python libraries and modules Scenarios where python is less appropriate 1 large scale projects 2 complex debugging and profiling 3 multi language development 4 Advanced code analysis and inspection
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    SAS
    SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.
    Incentivized
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    Pros
    Python Software Foundation
    • Firstly, I would say Python IDLE interface is user friendly.
    • Easy to learn for the beginners.
    • Syntax highlighting is nice features.
    • Smart indent helps a lot.
    Incentivized
    Read full review
    SAS
    • Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
    • The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
    • The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
    • Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.
    Incentivized
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    Cons
    Python Software Foundation
    • Too simplistic
    • Could not find source revision management integration support
    • Only basic debugging is available
    • Does not have data-science-specific notebooks (but can be installed separately)
    Incentivized
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    SAS
    • SAS is not as user friendly as other stats software.
    Incentivized
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    Usability
    Python Software Foundation
    The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.
    This IDE allows you to configure the environment, font, size, colors, .....
    It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.
    Once the IDE is executed you can start programming directly in it.
    Incentivized
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    SAS
    No answers on this topic
    Support Rating
    Python Software Foundation
    Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
    In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
    As this IDE is made in Python, the support is the same group of Python developers.
    Incentivized
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    SAS
    SAS' customer support used to be non-existent many years ago. Today, contacting SAS customer support is great. They are responsible, knowledgable, and seem to have an interest in getting the results right the first time. With that said, Enterprise Miner's online support is weak, probably because the user base is much smaller than other tools.
    Incentivized
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    Alternatives Considered
    Python Software Foundation
    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 Notebook on my cloud desktop
    Incentivized
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    SAS
    SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
    Incentivized
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    Return on Investment
    Python Software Foundation
    • In a short time, we were able to develop several ML models for various teams to make accurate decisions.
    • Beginners can easily understand and adapt to GUI.
    • We could automate several manual validation tasks and so could reduce human intervention.
    Incentivized
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    SAS
    • In our organization, users were using SAS already so the learning curve was really low. Within a few weeks after the implementation, the users were already delivering models developed with SAS Enterprise Miner. It is difficult to talk about ROI as models were already being developed before. It was mostly a change of technology and it was a smooth transition.
    • Going with Enterprise Miner came with migration from desktop use of SAS to a server use of SAS. This created a new role of SAS administrator. This was obviously a cost but as the use of SAS increased greatly, it was expected.
    • From a methodology standpoint, Enterprise Miner helped greatly in the documentation of the model development which was a requirement in a few groups such as the risk groups. Having a visual "GUI-like" approach to development, the flowchart or diagram of the project in Miner was able to give users a good understanding of the approach the analyst took to develop the model.
    Incentivized
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    ScreenShots