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Python VS Tableau Prep

Compare Python VS Tableau Prep and see what are their differences

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  3. » Reviews
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Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Tableau Prep logo Tableau Prep

Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.
  • Python Landing page
    Landing page //
    2021-10-17

Find popular and trending Python projects on LibHunt

  • Tableau Prep Landing page
    Landing page //
    2023-09-25

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.

Tableau Prep features and specs

  • User-Friendly Interface
    Tableau Prep has a visually intuitive drag-and-drop interface that makes it easy for users, even those with limited technical skills, to clean, shape, and prepare their data.
  • Integration with Tableau
    Seamlessly integrates with Tableau Desktop and Tableau Server, allowing for easy data flow from preparation to visualization and analysis.
  • Flexible Data Connectivity
    Offers a wide range of data connectors, enabling users to easily connect to various data sources including cloud services, databases, and flat files.
  • Automation and Scheduling
    Users can automate workflows and schedule data prep tasks, which saves time and ensures data is always up-to-date for analysis.
  • Collaborative Features
    Supports sharing and collaboration through Tableau Server and Tableau Online, making it easier for teams to work together on data preparation tasks.

Possible disadvantages of Tableau Prep

  • Limited Advanced Transformations
    While Tableau Prep offers many useful tools, it lacks some advanced data transformation capabilities found in more specialized ETL (Extract, Transform, Load) tools.
  • Performance Issues with Large Datasets
    Users may experience performance slowdowns when working with extremely large datasets, affecting overall efficiency and user experience.
  • Steep Learning Curve for Complex Tasks
    Although its interface is user-friendly for simple tasks, more complex data preparation processes still require a deeper understanding, making the learning curve steeper for advanced functionalities.
  • Cost
    Tableau Prep is a paid product, and the cost could be a barrier for small businesses or individual users who might not have the budget for a subscription.
  • Limited Custom Scripting
    Does not provide extensive support for custom scripting, limiting the flexibility for users who need highly customized data transformation processes.

Python videos

+ Add

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

Tableau Prep videos

+ Add

Tableau Prep Review [A Overview of Tableau Prep with Examples]

More videos:

  • Review - What is Tableau Prep? | A Tableau Prep Overview
  • Review - Tableau Prep Hands-on Training

Category Popularity

0-100% (relative to Python and Tableau Prep)

Python

Tableau Prep

Programming Language
100 100%
Programming Language
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
OOP
100 100%
OOP
0% 0
Data Transformation
0 0%
Data Transformation
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 Python and Tableau Prep

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

Tableau Prep Reviews

Free Data Science Tools for Students and Educators in 2020
Tableau is one of the best data visualization tools ever! If you have an educational email, please go ahead with the link above and get this awesome tool for free! You will get free one-year Tableau licenses of Tableau Desktop and Tableau Prep. Then, renew it yearly.
Source: towardsdatascience.com

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.

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 / 2 months 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 / 5 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 / 6 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 / 6 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 / 10 months ago
View more

Tableau Prep mentions (0)

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

What are some alternatives?

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

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

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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

Trifacta - Data Transformation Platform.

Rust - A safe, concurrent, practical language

Datameer - An all-in-one data transformation platform for exploring, preparing, visualizing, monitoring, and cataloging Snowflake insights.

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