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4D VS Python

Compare 4D VS Python and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

4D logo 4D

4D is a relational database management system and IDE.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • 4D Landing page
    Landing page //
    2023-04-23
  • Python Landing page
    Landing page //
    2021-10-17

Find popular and trending Python projects on LibHunt

4D features and specs

  • Comprehensive Development Environment
    4D provides a complete suite of tools for building and deploying applications, which includes both development and database management. This can accelerate the development process for businesses looking for an all-in-one solution.
  • Cross-Platform Compatibility
    4D allows developers to create applications that can run on multiple operating systems including Windows and macOS, broadening the reach and flexibility of the solutions built on this platform.
  • Integrated Database Management
    With a built-in database engine, 4D simplifies database management and integration, reducing the need for additional software and streamlining the development process.
  • Strong Community Support
    The 4D platform has a dedicated user community and offers extensive documentation and support resources, making it easier for developers to find solutions and assistance when needed.

Possible disadvantages of 4D

  • Learning Curve
    The platform may have a steep learning curve for new users, particularly those who are not familiar with integrated development environments or the specific language used by 4D.
  • Licensing Costs
    4D can be costly, with licensing fees required for using the platform, which could be a barrier for small businesses or individual developers.
  • Limited Popularity
    Compared to other development platforms, 4D is less widely adopted, which could limit the availability of third-party integrations and plugins.
  • Platform-Specific Features
    While 4D offers robust features, some of them might be specific to certain operating systems, potentially limiting application functionality across different environments.

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.

4D videos

+ Add

1 Month AFTER Wearing adidas FUTURECRAFT 4D! PROS & CONS!

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Python videos

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

Category Popularity

0-100% (relative to 4D and Python)

4D

Python

Databases
100 100%
Databases
0% 0
Programming Language
0 0%
Programming Language
100% 100
NoSQL Databases
100 100%
NoSQL Databases
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 4D and Python

4D Reviews

We have no reviews of 4D yet.
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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.

4D mentions (0)

We have not tracked any mentions of 4D yet. Tracking of 4D 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 4D and Python, you can also consider the following products

LiveCode Platform - It is Both Under the GPL and it is also Proprietary if using the GPL version the software you make...

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

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Rust - A safe, concurrent, practical language

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