---
title: Python Reviews
meta_title: 'Python Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 266 reviews by the users' company size, role or industry
  to find out how Python works for a business like yours.
aggregate_rating:
  rating_value: 4.8
  review_count: 266
  scale: '5'
date_modified: '2026-08-07'
parent_category:
  name: Marketplace Apps
  url: https://www.g2.com/categories/marketplace-apps
---


# Python Reviews
**Vendor:** Jetware  
**Category:** [AWS Marketplace Software](https://www.g2.com/categories/aws-marketplace)  
**Average Rating:** 4.8/5.0  
**Total Reviews:** 266
## About Python
The Python runtime environment offered on AWS Marketplace by Jetware is a pre-configured, high-performance execution environment optimized for both training and inference tasks. It includes the Python programming language along with essential development tools such as a C compiler and make utility, providing a comprehensive setup for developers. Key Features and Functionality: - High-Performance Execution: Optimized for efficient performance in both training and inference scenarios. - Integrated Development Tools: Comes with a C compiler and make utility, facilitating seamless development and building processes. - Multiple Python Versions: Supports various Python versions, including 2.7, 3.4, 3.5, and 3.6, catering to diverse project requirements. - Containerized Deployment: Delivered as a container image compatible with Amazon ECS and Amazon EKS, ensuring easy deployment and scalability. - Stability and Support: Offers a stable, production-ready environment with long-term support and regular updates. Primary Value and User Solutions: This Python runtime environment simplifies the setup process for developers by providing a ready-to-use, optimized platform for application development and deployment. By integrating essential tools and supporting multiple Python versions, it addresses the challenges of environment configuration and compatibility, allowing developers to focus on coding and innovation. Its containerized nature ensures scalability and flexibility, making it suitable for a wide range of applications on AWS infrastructure.



## Python Pros & Cons
**What users like:**

- Users appreciate the **ease of use** in Python, fostering quick learning and application across various fields. (15 reviews)
- Users love Python for its **automation capabilities** , benefiting from a vast array of libraries for various tasks. (4 reviews)
- Users value the **extensive community support** in Python, ensuring help is readily available for their coding needs. (4 reviews)
- Users appreciate the **variety of features** Python offers, making it versatile for various applications and easy to learn. (4 reviews)
- Users find **implementation easy** with Python, thanks to its simple syntax and supportive community, streamlining development processes. (4 reviews)
- Users appreciate the **easy integration** of Python with other tools, enhancing project efficiency and functionality. (4 reviews)
- Users appreciate the **easy integrations** in Python, enabling seamless use of libraries and tools for various tasks. (3 reviews)
- Users appreciate Python's **flexibility** , enabling diverse tasks from data analysis to web applications effortlessly. (3 reviews)
- API Integration (2 reviews)
- Users value the **large and supportive community** of Python, which ensures help and resources are always available. (2 reviews)

**What users dislike:**

- Users find that Python's **slow performance** can hinder heavy computations, often requiring additional frameworks for efficiency. (5 reviews)
- Users find **difficult management** of environments and dependencies complicates their experience, especially with multiple projects. (2 reviews)
- Users find **large data management challenging** with Python, noting issues like slow performance and complex environment setups. (2 reviews)
- Users find **complex coding** in Python frustrating due to issues with typing and limited object-oriented programming features. (1 reviews)
- Users often face issues with **error handling** in Python, particularly due to slower performance and late runtime evaluation errors. (1 reviews)
- Users note a **steep learning curve** with Python due to its vast libraries and functions, complicating the experience. (1 reviews)
- Learning Difficulty (1 reviews)
- Users feel that Python has **limited flexibility** , affecting control over core concepts and performance on mobile devices. (1 reviews)
- Users find **performance issues** with Python, noting it is slower than alternatives like Go and Rust for larger projects. (1 reviews)
- Poor Customer Support (1 reviews)

## Python Reviews
  ### 1. Python – Bridging Beginners and Experts

**Rating:** 5.0/5.0 stars

**Reviewed by:** Anas  M. | Research Scholar, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 21, 2025

**What do you like best about Python?**

What I like best about Python is its ease of use and simplicity compared to other applications—the syntax feels very natural and readable, which makes coding smooth even for beginners.  I have started my journey with Python until I have now earned the title of expert. Implementation is straightforward, and projects can be set up quickly without unnecessary complications.

Python also shines in its vast number of features and libraries, covering everything from web development to data science, machine learning, and automation. This makes it incredibly versatile.

In terms of integration, Python works well with other languages, tools, and platforms, making it easy to fit into different environments. The community support is another strong point—there’s always documentation, tutorials, or forums available to find help. this was very helpful throughout my career in this field.

This is why Python is so special to me and a language I use frequently and confidently..

**What do you dislike about Python?**

Python is one of the most powerful languages I have ever used in my life. However, sometimes I find it slower compared to other languages, and I feel it carries some limitations when used in mobile and low-level devices. Sometimes customer service are stuck and needed to find out alternative ways for good responses.

**What problems is Python solving and how is that benefiting you?**

Python is solving a wide range of problems for me, from automating repetitive tasks to building complex applications. One of the main ways it helps is by integrating with Excel, which makes handling and analyzing large amounts of data much faster and more efficient compared to doing everything manually.

Its extensive libraries and frameworks also make it easy to work in areas like data analysis, machine learning, web development, and artificial intelligence without starting from scratch.

This has benefited me by saving a lot of time and effort, allowing me to focus more on solving real-world problems rather than dealing with technical barriers. Python’s simplicity and integration also help me quickly prototype ideas and bring them into production, which has been a big advantage in my career growth.

  ### 2. Python: Simple, Versatile, and My Everyday Tool

**Rating:** 4.5/5.0 stars

**Reviewed by:** Abhishek K. | Technical Lead, Information Technology and Services, Enterprise (> 1000 emp.)

**Reviewed Date:** August 22, 2025

**What do you like best about Python?**

Python is easy to learn and easy to read. I use it daily for data work, automation, and scripting. The best part is its huge library support, you can find a package for almost anything, from data analysis to machine learning.

It also works well across different areas: data engineering, web apps, AI, and even small automation scripts. That flexibility is what makes it my go-to language.

**What do you dislike about Python?**

Python can be slow compared to other languages, especially for heavy computations. For big data jobs, you need frameworks like PySpark or extra tuning.

Sometimes managing environments and dependencies can get messy too, especially when working on multiple projects.

**What problems is Python solving and how is that benefiting you?**

Writing ETL scripts

Automating workflows

Working with data pipelines (PySpark, Pandas)

Quick prototypes and POCs

  ### 3. Python is fast enough!

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** December 10, 2024

**What do you like best about Python?**

What I love most about Python is its simplicity and readability while writing or understanding code. The syntax is clean, made it easy to learn and use. There are lot of features of python from which i like the most is packages for data analytics and data science like pandas, numpy, matplotlib etc.

**What do you dislike about Python?**

One of the main issue is its speed. Since Python is an interpreted language it is slower compared to compiled languages like C++ or Java, especially for the tasks that requires a lot of computation, I do find this as a con that's the reason i mostly use python as my secondary language.

**What problems is Python solving and how is that benefiting you?**

Python is perfect for automating repetitive tasks. I mostly use for automating file management, web scraping, or even sending emails to users, Python scripts save a lot of time and effort.

  ### 4. Great and amazing

**Rating:** 4.0/5.0 stars

**Reviewed by:** Burna v. | Admin manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 03, 2025

**What do you like best about Python?**

Easy to learn and use
Simple syntax
Extensive third party libraries

**What do you dislike about Python?**

Slow performance 
Dynamic typing
Security risks

**What problems is Python solving and how is that benefiting you?**

Automation and scripting

  ### 5. Code with Python

**Rating:** 5.0/5.0 stars

**Reviewed by:** Aanya S. | Project Manager, Information Technology and Services, Enterprise (> 1000 emp.)

**Reviewed Date:** December 09, 2024

**What do you like best about Python?**

Python Programming language is simple and easy to learn and for use also. Suitable for web development like We use multiple platforms i.e Django, Tensorflow. Most important it's open source, easy accessible

**What do you dislike about Python?**

execution speed is slow, dynamic typing for large projects.

**What problems is Python solving and how is that benefiting you?**

It solves Rapid Prototpying like quick testing ideas and build prototypes, Python, reduces time, and makes application faster.


## Python Discussions
  - [What does Python do?](https://www.g2.com/discussions/what-does-python-do) - 2 comments, 1 upvote
  - [What are advantages of Python?](https://www.g2.com/discussions/what-are-advantages-of-python) - 2 comments, 1 upvote
  - [What is Python software used for?](https://www.g2.com/discussions/what-is-python-software-used-for) - 1 comment, 1 upvote
  - [What is the best way to use python for the use cases of AI and ML ?](https://www.g2.com/discussions/what-is-the-best-way-to-use-python-for-the-use-cases-of-ai-and-ml) - 1 comment, 1 upvote
  - [Do You use Python with 2.7 version](https://www.g2.com/discussions/do-you-use-python-with-2-7-version) - 2 comments, 1 upvote

- [View Python pricing details and edition comparison](https://www.g2.com/products/python/reviews?filters%5Bsentiment_snippet%5D=1631884&qs=pros-and-cons&section=pricing&secure%5Bexpires_at%5D=2026-08-10+07%3A27%3A32+-0500&secure%5Bsession_id%5D=285a42f2-278d-463a-bd70-d6d98950c649&secure%5Btoken%5D=6f237d9ad8c4d2dcc7cbe86d6d9c5ea8156a9e09b1fd68543778d8c999f2034d&format=llm_user)
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## Python Features
**Agentic AI - AWS Marketplace**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration

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