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Minitab VS Python

Compare Minitab VS Python and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Minitab logo Minitab

Minitab helps businesses increase efficiency and improve quality through smart data analysis.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Minitab Landing page
    Landing page //
    2023-07-04
  • Python Landing page
    Landing page //
    2021-10-17

Find popular and trending Python projects on LibHunt

Minitab features and specs

  • User-Friendly Interface
    Minitab offers a highly intuitive and easy-to-navigate interface, making it accessible for users at all skill levels.
  • Comprehensive Statistical Tools
    The software provides a wide range of statistical analyses, including regression, ANOVA, time series analysis, and more, which can meet diverse analytical needs.
  • Excellent Support and Documentation
    Minitab provides excellent customer support, including detailed documentation, webinars, tutorials, and a responsive help desk.
  • Integration Capabilities
    The software can easily integrate with other tools and platforms, enhancing its functionality and enabling seamless data flow.
  • Real-time Data Analysis
    Minitab supports real-time data analysis and visualization, allowing users to make quick, data-informed decisions.

Possible disadvantages of Minitab

  • Cost
    Minitab can be quite expensive, particularly for small businesses or individual users, which may limit its accessibility for some.
  • Limited Advanced Machine Learning Tools
    While Minitab excels in traditional statistical methods, it lacks some of the advanced machine learning tools and capabilities found in other software like Python or R.
  • Resource Intensive
    The software can be resource-intensive, requiring significant computational power and memory, which might not be suitable for older or less powerful computers.
  • Learning Curve for Advanced Features
    While basic features are easy to use, mastering advanced features and complex analyses can have a steep learning curve, particularly for beginners.
  • Limited Customization
    Minitab offers fewer customization options compared to other statistical tools, which can be restrictive for users needing tailored solutions.

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Minitab videos

+ Add

Introduction to Minitab | An Overview of Minitab

More videos:

  • Tutorial - Minitab Tutorial | Minitab Training Video | What is Minitab? | Introduction to Minitab
  • Review - 31 Minitab Review

Python videos

+ Add

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to Minitab and Python)

Minitab

Python

Data Dashboard
100 100%
Data Dashboard
0% 0
Programming Language
0 0%
Programming Language
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0
OOP
0 0%
OOP
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Minitab and Python

Minitab Reviews

25 Best Statistical Analysis Software
Minitab is a powerful statistical software package that offers a suite of tools for data analysis, regression, hypothesis testing, quality improvement, forecasting, design of experiments, and statistical process control.
Source: www.scijournal.org
Top 10 Free Statistical Analysis Software 2023
10. Automation and customisation are supported through its scripting language, Minitab Macros, for expert users.
Source: fellowshipbard.com
9 Best Analysis Software for PC 2023
Minitab statistical Software is an analytical software with spreadsheets where the user inputs the datasets. The software has a wide variety of analytical tools that can be used to create, calculate, analyze and generate your analysis reports.
Source: pdf.wps.com

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Let’s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Source: www.analyticsinsight.net
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
Source: blog.back4app.com
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
Source: searchbusinessanalytics.techtarget.com
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Social recommendations and mentions

Based on our record, Python seems to be more popular. It has been mentiond 288 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Minitab mentions (0)

We have not tracked any mentions of Minitab yet. Tracking of Minitab recommendations started around Mar 2021.

Python mentions (288)

  • A Beginner's Guide to Auto-Instrumenting a Flask App with OpenTelemetry and SigNoz
    If Python is not installed, download it from python.org or use your system's package manager (e.g., sudo apt install python3 on Ubuntu). - Source: dev.to / about 1 month ago
  • Scraping Infinite Scroll Pages with a 'Load More' Button: A Step-by-Step Guide
    Python Installed: Download and install the latest Python version from python.org, including pip during setup. - Source: dev.to / 4 months ago
  • Get Started with Python
    First, you'll need to install Python if you don't have it already. Go to the official Python website python.org, download the latest version, and follow the instructions. - Source: dev.to / 5 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Python: We’ll use Python for it’s simplicity and accessibility. - Source: dev.to / 5 months ago
  • Python Packaging is Great Now: `uv` is all you need
    Bootstrapping was an often neglected problem. Should we tell people to install Python from https://python.org? The Anaconda distribution? How do we stop folks from using their system package manager and risk breaking everything? - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Minitab and Python, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Rust - A safe, concurrent, practical language

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

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