# Python Reviews **Vendor:** Jetware **Category:** [AWS Marketplace Software](https://www.g2.com/categories/aws-marketplace) **Average Rating:** 4.8/5.0 **Total Reviews:** 255 ## 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 find Python's **ease of use** beneficial, especially for learning and leveraging its vast libraries. (20 reviews) - Users value Python for its **automation capabilities** , enabling efficient task handling and unlocking new possibilities with minimal coding. (4 reviews) - Users value the **supportive community** of Python, providing helpful resources and prompt assistance for various projects. (4 reviews) - Users find Python's **easy integrations** and vast libraries greatly enhance their programming experience and application development. (4 reviews) - Users appreciate the **variety of features and libraries** in Python, making it versatile for many applications. (4 reviews) - Users appreciate Python's **flexibility** , enabling diverse tasks from data analysis to web applications effortlessly. (4 reviews) - Users find **implementation effortless** , as Python allows immediate coding with simple installation and default tools. (4 reviews) - Users appreciate the **easy integration** of Python with other tools, enhancing project efficiency and functionality. (4 reviews) - Users value Python's **adaptability** , effortlessly spanning various domains like AI, web development, and analytics. (2 reviews) - API Integration (2 reviews) **What users dislike:** - Users find Python's **slow performance** particularly challenging for heavy computations and big data tasks. (5 reviews) - Users face **difficult management** of dependencies and environments, complicating project development and workflow in Python. (2 reviews) - Users find that managing **large data tasks** in Python is challenging due to performance and dependency issues. (2 reviews) - Users face a **challenging learning curve** with Python's extensive libraries and the nuances of its typing system. (2 reviews) - Users notice **performance issues** with Python, citing slower execution compared to other programming languages like GO and Rust. (2 reviews) - Users find Python's **complex coding** challenging due to slow performance, strange syntax, and limited web development capabilities. (1 reviews) - Error Handling (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) - Poor Customer Support (1 reviews) ## Python Reviews ### 1. Fast Development with Less Effort **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 07, 2026 **What do you like best about Python?** I like it because it’s easy to learn and very readable, which makes coding feel natural. It also has a huge number of libraries that save me time, whether I’m working with data, automation, or simple programs. Overall, it helps me get things done faster without adding unnecessary complexity. Its a high level language and human readable , inbuilt function are great . **What do you dislike about Python?** I dislike that Python can be slower than some other languages, like C++. C++ uses the STL, which can make it fast, but Python doesn’t always feel that way—especially for performance-heavy tasks. It also tends to use more memory, and in larger projects, managing dependencies can sometimes get messy. **What problems is Python solving and how is that benefiting you?** Before I started using Python, I often struggled to write long, complex code just to complete simple tasks. Now I can solve the same problems much faster with far fewer lines, which saves me time and helps reduce mistakes. Python also makes it easier for me to automate repetitive work and stay more efficient overall, especially when I’m handling data-related tasks or working on small projects. ### 2. The undisputed leader for Data Science and Artificial Intelligence **Rating:** 5.0/5.0 stars **Reviewed by:** Angel B. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 15, 2026 **What do you like best about Python?** The immense number of libraries available for data analysis and Machine Learning, such as Pandas, NumPy, and Scikit-learn. The syntax is very clean and readable, almost like reading English, which allows for prototyping complex solutions in a very short time compared to C++ or Java. **What do you dislike about Python?** The execution speed. Being an interpreted language, it is notably slower than compiled languages like C or Rust in pure calculation tasks if not optimized. Also, managing virtual environments and dependencies (pip vs conda) can sometimes become a headache. **What problems is Python solving and how is that benefiting you?** Automation of data processes and creation of predictive models. It allows us to clean large volumes of data and generate quick visualizations. The main benefit is the reduction of "Time-to-market": we go from idea to functional code in hours. ### 3. Python’s Simple, Readable Syntax Speeds Up Development **Rating:** 5.0/5.0 stars **Reviewed by:** Óscar O. | Adjunct Professor, Mid-Market (51-1000 emp.) **Reviewed Date:** March 13, 2026 **What do you like best about Python?** What I like best about Python is its simplicity and the speed with which applications can be developed. The language has a very clear and readable syntax, which makes it easy to learn and to use. This allows developers to prototype ideas quickly and turn them into working solutions in a short amount of time. **What do you dislike about Python?** What I dislike most about Python is its performance. Compared to compiled languages, execution can be slower, which may become a limitation in performance-critical applications or when handling very large datasets. **What problems is Python solving and how is that benefiting you?** Python helps solve problems related to rapid development, data processing, and automation. ### 4. Easy, English-Like Scripting with Powerful Packages **Rating:** 5.0/5.0 stars **Reviewed by:** Tumelo M. | IT Intern, Telecommunications, Mid-Market (51-1000 emp.) **Reviewed Date:** March 28, 2026 **What do you like best about Python?** I love how easy it is to script with. It has a lot of tools and packages that extend its capability to be used in a wide range of scenarios. Its language is very close to natural English and that makes it easy to understand even if I am not the one who wrote the code. **What do you dislike about Python?** it is significantly slower than other programming languages like C++ **What problems is Python solving and how is that benefiting you?** It has been particularly useful in data integration scenarios. I use it to write ETL scripts for our data warehousing purposes ### 5. Easy Syntax, Vast Libraries, and Strong AI Tooling **Rating:** 4.5/5.0 stars **Reviewed by:** Yogesh G. | Linux Administrator, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 20, 2026 **What do you like best about Python?** Python has an easy syntax, and it’s very easy to learn compared to other programming languages. It also has vast libraries, providing libraries for almost every task. Since it’s widely used by the AI community, it comes with lots of tools and features that support out-of-the-box integration with many AI tools. **What do you dislike about Python?** -Slower compared to GO & Rust -Run time evaluation can cause error that are not detected initially. **What problems is Python solving and how is that benefiting you?** We are using Python for our automation workflows, which helps us reduce the time spent on repetitive tasks. We also use Python for our ML pipelines, making it easier to build and maintain these processes as part of our overall workflow. ### 6. Python gave me the power to automate and simplify my everyday work **Rating:** 5.0/5.0 stars **Reviewed by:** Paul B. | Customer Experience Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** October 02, 2025 **What do you like best about Python?** Just starting out, I found Python approachable and surprisingly powerful. I was able to automate tasks, process data, and solve real problems with very little coding experience. The language feels clean and logical, and there’s a huge community sharing helpful resources and examples. Tools and libraries make everything easier, and running scripts to save time and handle batch processes has opened up a ton of new possibilities for me. **What do you dislike about Python?** Occasionally, figuring out the right packages or dependencies takes a bit of research, especially for more complex tasks. But honestly, Python’s support and documentation are so extensive that I always find answers when I need them. **What problems is Python solving and how is that benefiting you?** Python lets me automate routine work, analyze large datasets, and build solutions tailored to exactly what I need, without having to be a coder. It’s become an essential part of my daily toolkit and has made my work much more efficient. ### 7. 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. ### 8. The easiest programming Language to Learn **Rating:** 5.0/5.0 stars **Reviewed by:** Praveen K. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2025 **What do you like best about Python?** Python is very easy to learn compared to other programming languages. We just needed to import one package and it will be having all the functions in it to use. No complex programming and way simpler. Vey easy to create application like django and easy to integrate the same. **What do you dislike about Python?** As far as there is no dislike as such. But I heard it wont be able to with stand complex programming, but I have not experienced anything as such because I'm not a developer but into data role. **What problems is Python solving and how is that benefiting you?** I have been ussing python to solve data related problems. I will be using different algorithms like regression models in my firm to do analysis to predict attrition for my clients. I have done hypothesis tetsing, EDA and bulit various models using python. Recently I have developed on app using python and host it using streamlit for our inhouse operations. It is benefitting me in multiple ways like solving the data problems, creating simple useful applications, do visualize the data patterns etc., ### 9. Easy to Learn and Powerful for Automating Tasks **Rating:** 4.5/5.0 stars **Reviewed by:** Niroj M. | Webmaster, Small-Business (50 or fewer emp.) **Reviewed Date:** March 13, 2026 **What do you like best about Python?** easy to learn and start creating your own tools to automate simple to complicated tasks **What do you dislike about Python?** Package management across multiple OS. The same package may have to use different configuration. **What problems is Python solving and how is that benefiting you?** Python is just easy to setup, get started and start building tools you need without a steep learning curve. And it works across multiple operating system and a terminal is enough to code. ### 10. Versatile and User-Friendly with Powerful Libraries **Rating:** 4.5/5.0 stars **Reviewed by:** Kundan K. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** December 14, 2025 **What do you like best about Python?** I like Python because it's user-friendly and its libraries like NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, PyTorch, and Keras really enhance its capabilities. It helps me with multiple access and cleaning of data, performing mathematical analysis, drawing diagrams, conducting research, and running regressions. The initial setup of Python was easy too. **What do you dislike about Python?** I think Python could be better connected with deep learning and backpropagation along with machine learning. Also, I would like to see improvements in human involvement interaction and how data is fed into the system, so models can be generated to enhance the feasibility of the data. **What problems is Python solving and how is that benefiting you?** Python helps me with time series analysis, scenario analysis, data cleaning, mathematical analysis, and regression using libraries like NumPy and Pandas. It's user-friendly and supports programming, Monte Carlo simulation, and machine learning. ## 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 ## Python Integrations - [Amazon API Gateway](https://www.g2.com/products/amazon-api-gateway/reviews) - [Amazon Simple Email Service (Amazon SES)](https://www.g2.com/products/amazon-simple-email-service-amazon-ses/reviews) - [AWS Elastic Beanstalk](https://www.g2.com/products/aws-elastic-beanstalk/reviews) - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews) - [AWS S3 Objects to Alation](https://www.g2.com/products/aws-s3-objects-to-alation/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Binance](https://www.g2.com/products/binance/reviews) - [ChatGPT](https://www.g2.com/products/chatgpt/reviews) - [Cloudflare Application Security and Performance](https://www.g2.com/products/cloudflare-application-security-and-performance/reviews) - [Cloudflare One (SASE)](https://www.g2.com/products/cloudflare-one-sase/reviews) - [codebeamer](https://www.g2.com/products/codebeamer/reviews) - [Django](https://www.g2.com/products/django/reviews) - [Docker](https://www.g2.com/products/docker-inc-docker/reviews) - [Docker Swarm](https://www.g2.com/products/appxen-docker-swarm/reviews) - [ElevenLabs](https://www.g2.com/products/elevenlabsio/reviews) - [Flask](https://www.g2.com/products/flask/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [GitHub Copilot](https://www.g2.com/products/github-copilot/reviews) - [GitHub Inc.](https://www.g2.com/products/github-inc/reviews) - [Github Package Registry](https://www.g2.com/products/github-package-registry/reviews) - [LangChain](https://www.g2.com/products/langchain-langchain/reviews) - [Microsoft Excel](https://www.g2.com/products/microsoft-excel/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [MongoDB](https://www.g2.com/products/mongodb/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [n8n](https://www.g2.com/products/n8n/reviews) - [Node.js](https://www.g2.com/products/node-js/reviews) - [Objectivity/DB](https://www.g2.com/products/objectivity-db/reviews) - [OpenAI Whisper](https://www.g2.com/products/openai-whisper/reviews) - [pandas python](https://www.g2.com/products/pandas-python/reviews) - [Playwright](https://www.g2.com/products/playwright/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - [Python](https://www.g2.com/products/python/reviews) - [Redis Cloud](https://www.g2.com/products/redis-cloud/reviews) - [Rocketbot](https://www.g2.com/products/rocketbot/reviews) - [Shuffle](https://www.g2.com/products/shuffle/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Spark](https://www.g2.com/products/apache-spark/reviews) - [SQL Developer](https://www.g2.com/products/sql-developer/reviews) - [Streamoku](https://www.g2.com/products/streamoku/reviews) - [Vercel](https://www.g2.com/products/vercel/reviews) - [Vercel AI SDK](https://www.g2.com/products/vercel-ai-sdk/reviews) - [VeriStand](https://www.g2.com/products/veristand/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [Wazuh - The Open Source Security Platform](https://www.g2.com/products/wazuh-the-open-source-security-platform/reviews) - [WhatsApp Business Platform](https://www.g2.com/products/whatsapp-business-platform/reviews) ## Python Features **Agentic AI - AWS Marketplace** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration