# Python Reviews **Vendor:** Jetware **Category:** [AWS Marketplace Software](https://www.g2.com/categories/aws-marketplace) **Average Rating:** 4.8/5.0 **Total Reviews:** 263 ## 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** invaluable for learning and implementing various tasks effortlessly. (20 reviews) - Users value Python for its **automation capabilities** , finding it powerful and easy to learn for various tasks. (4 reviews) - Users value the **helpful community support** of Python, ensuring assistance and shared resources for problem-solving. (4 reviews) - Users appreciate the **easy integrations** with many AI tools, enhancing functionality and simplifying application development. (4 reviews) - Users value the **wide variety of features and libraries** Python offers, enhancing versatility across multiple domains. (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 that Python's **slow performance** hinders its effectiveness for heavy computational tasks and big data jobs. (5 reviews) - Users find **difficult management** of environments and dependencies in Python frustrating, impacting their multi-project experiences. (2 reviews) - Users find **large data management challenging** in Python, requiring additional frameworks and causing potential performance issues. (2 reviews) - Users face a **steep learning curve** due to Python's complexity and extensive libraries, which can hinder their progress. (2 reviews) - Users find Python's **performance issues** significant, especially when compared to faster 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. Versatile and Readable, but Performance and Dependency Management Can Be Tricky **Rating:** 3.5/5.0 stars **Reviewed by:** Farheen S. | Full Stack Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about Python?** What I like most about Python is its clean, readable syntax and overall versatility. It makes it easy to build everything from APIs (with Django or Flask) to data and AI solutions, and to do it quickly thanks to strong library support. **What do you dislike about Python?** One downside of Python is its performance: it’s slower than languages like C++ or Java for CPU-intensive tasks. It also uses dynamic typing, which can lead to runtime errors if you’re not careful, and dependency management across different projects can sometimes get messy. **What problems is Python solving and how is that benefiting you?** Python helps me solve problems like rapid development, automation, and data-heavy tasks. For me, that means I can quickly build scripts, APIs, or data-processing solutions with less code, automate repetitive work, and lean on powerful libraries for analysis or integrations. All of that saves time and improves my productivity ### 2. 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. ### 3. Versatile and Easy: Python Powers My Automation and AI Work **Rating:** 4.5/5.0 stars **Reviewed by:** Animeshkumar N. | Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** May 19, 2026 **What do you like best about Python?** It’s the most versatile language for me, and it handles a big part of my work especially automation and script writing using machine learning, AI, and similar tasks. **What do you dislike about Python?** There is nothing to be dislike about Python as it is versatile and very easy to use language. Just need an ID to run script and make some automation. There is nothing which I hate, but I did sometimes bit slow. **What problems is Python solving and how is that benefiting you?** It is actually solving my machine learning related job when I am planning to automate using computer vision document extraction OCR ### 4. Versatile, Easy to Learn, and Backed by a Huge Community **Rating:** 5.0/5.0 stars **Reviewed by:** Angie P. | Carrier Sales Northeast & Canada, Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2026 **What do you like best about Python?** It can be used for any purpose, it is very easy to learn and it is used so widely that its easy to find in internet any question or problem you have with it. **What do you dislike about Python?** It can be slow for some tasks: for example for very heavy workloads, it will perform slowly when compared to other languages. **What problems is Python solving and how is that benefiting you?** We are using it for all our projects. It is automating workflows, it is being used in data ingestion pipelines, also in ML, etc. ### 5. Versatile Libraries and Broad Device Support Make Python a Go-To language for software developers. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** April 26, 2026 **What do you like best about Python?** Both its wide range of libraries, which allow for the development of many types of software programs, and its broad device support—most computers can run Python programs. **What do you dislike about Python?** Python can be slow and unoptimized for low-level device control, especially in programs that require high speed and fast computation in industries such as networking and blockchain development. **What problems is Python solving and how is that benefiting you?** Python helps me flattern the learning curve when it comes to developing programs where I don't have to worry too much about complex syntax and developing customized software tooling/features where that is required in some programming languages. It solves the problem of lack of library support by having a wide range of supported libraries which programmers build and open source for anyone to use. ### 6. 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. ### 7. 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. ### 8. 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 ### 9. 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. ### 10. Easy, Beginner-Friendly Language That’s Great to Learn **Rating:** 4.5/5.0 stars **Reviewed by:** Ishita J. | Events Coordinator, Small-Business (50 or fewer emp.) **Reviewed Date:** April 10, 2026 **What do you like best about Python?** It's a very easy to use and beginner friendly language **What do you dislike about Python?** For production purposes and per developing big apps or for making a very big platform a diverse platform python is not capable because there are many limitation **What problems is Python solving and how is that benefiting you?** I think python should be the first language for any coder to learn. I learnt data structures and algorithms using python and it is benefiting in me in my job ### 11. Easy to Use Across Platforms With Libraries for Connecting to Any Service **Rating:** 5.0/5.0 stars **Reviewed by:** Kenny F. | Automatization Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Python?** Is really easy to use, you can manage through all platforms, and you have all the possible libraries to help you connect to any type of service **What do you dislike about Python?** That you can't easily create a front or apps for non-Python users to use front options are horrible and hard to use **What problems is Python solving and how is that benefiting you?** Automatization process, data analisis, api connections ### 12. 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. ### 13. 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. ### 14. 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., ### 15. 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. ### 16. Powerful Data Analysis and Automation with a Reusable Pipeline **Rating:** 5.0/5.0 stars **Reviewed by:** Chandra L. | Research Excellence, Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2026 **What do you like best about Python?** Data analysis, data processing, automation, and a reusable data-processing pipeline. **What do you dislike about Python?** There’s a learning curve: you need to know the basics of programming to get started. I also ran into installation issues, and overall it requires a fair amount of technical understanding to set up and use. **What problems is Python solving and how is that benefiting you?** It supports data pre-processing (for example, data normalization), data validation, and big data calculation. Especially for horizontal survey data to be aggregated and pivoted for reporting. ### 17. 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. ### 18. Easy for Embedded Coding and Data Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Alan L. | Assistente Técnico de Desenvolvimento de Produto, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about Python?** I like that it’s easy to do whatever I need, from embedded coding to data analysis. **What do you dislike about Python?** It uses dynamic typing, which is flexible, but it can also lead to runtime errors that are harder to catch early than in statically typed languages. **What problems is Python solving and how is that benefiting you?** It helps me when I need to do some script to automate mmy tasks. ### 19. Python is free available thing so it was easy to enter, then it is relevant Language model in 2025. **Rating:** 4.5/5.0 stars **Reviewed by:** Sinan A. | Technical Support Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** September 17, 2025 **What do you like best about Python?** Simple and readable syntax, python can be used in many fields like web development, data science, machine learning, fintech etc. it has huge eco systems and cross platform compatibility if it is windows or mac or any other platforms it could be used.ideal for beginners and pros. Strong support in education and research **What do you dislike about Python?** For me it is week in mobile development, also it need high memory capacity it is more difficult in practical.limited browser based application, that’s it **What problems is Python solving and how is that benefiting you?** Python can automate repetitive tasks — such as data entry, file processing, report generation, and even email handling — using scripting and libraries like openpyxl, smtplib etc. With pandas, NumPy, and Matplotlib/Seaborn, Python enables powerful data analysis and visualization to turn raw data into actionable insights. ### 20. Ideal for Process Automation with Customized Routines **Rating:** 5.0/5.0 stars **Reviewed by:** Germán U. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 28, 2025 **What do you like best about Python?** The best thing Python offers me is the ability to develop specific routines to implement them in process automation (RPA). **What do you dislike about Python?** Until now, I have only worked with traditional frameworks for web development, which makes it difficult for me to use Python for this purpose. **What problems is Python solving and how is that benefiting you?** I have the ability to create customized routines to carry out different processes, such as connecting to databases, sending emails, web scraping, or controlling applications through screen positioning. All of this is done efficiently and in an organized manner. ### 21. Why Python Became My Go-To Language **Rating:** 5.0/5.0 stars **Reviewed by:** R S. | Entry level Data engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** July 17, 2025 **What do you like best about Python?** What i like best about python is how easy it is to learn and use, even for someone without a strong programming background. The syntax feels natural and doesn't get in the way of solving problems. it has a huge collection of libraries for almost anything whether its data analysis, machine learning, web development or automation. Plus the community is super helpful so whenever i get stuck there is always a solution online. it just makes building things faster and more enjoyable. **What do you dislike about Python?** One thing i dislike about Python is its slower speed compared to some other languages like C++ or Java. It is not always the best choice for performance heavy tasks. Also, sometimes debugging issues related to indentation or dynamic typing can be bit tricky, especially in large project. And when working with different Python version or package dependencies , managing environment can get frustrating without tools like venv or conda. **What problems is Python solving and how is that benefiting you?** Python is helping me solve real-world problem like cleaning messy datasets, automating repetitive tasks, and building simple dashboards or API's to share insights, it is also great for quick prototyping, so i can test ideas fast without much setup, for example , i used python to automate data extraction and transformation tasks, which saved hours of manual work. This has definitely boosted my productivity and made me feel more confident handling data-related challenge. ### 22. 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 ### 23. Automate tasks by linking Smartsheet with G-drive using Python **Rating:** 5.0/5.0 stars **Reviewed by:** Vaibhav P. | Project Coordinator, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** June 23, 2025 **What do you like best about Python?** In our office case, we have linked Python and Smartsheet to perform various tasks. Our team has written the codes in Python to interact with Smartsheet and G-Drive. There are multiple use cases where we use Python in background as well in the form of an user interface for ease of use. It is easy to follow and understand the Python codes that I find it easy and comfortable to make minor changes within the codes to adapt to the new process changes or additions. We use this integrated approach of Python and Smartsheet quite extensively and frequently. Multiple features of Python are being used to perform various tasks like: 1) Clicking photographs - In an UI based python code we enter a date of receipt, upon which the Python code refers a particular Smartsheet, pull the data and number of rows, creates respective folders and starts saving the images in the respective folders while renaming them as per our requirement as we keep clicking the photos is the assets through a camera. This is an integration of Python, Smartsheet and a physical external Camera 2) Batching - In this UI based Python code, we enter a batch number, upon which it reads the data from the respective Smartsheet, creates multiple folders and downloads assets from G-drive and save it in the respective newly made folders. This is an integration of Python, Smartsheet and G-drive 3) Asset update - In this UI based Python script, the assets are compared with Smartsheet data and the processed assets saved in batches in Git folder, upon which new .xml and .json files are written and Smartsheets are updated accordingly. This is an integration of Python, Smartsheet and Git 4) Validation - In this Python script, the processed batches are validated for existence and accuracy of the processed assets within the batch folders. This is an integration of Python, Smartsheet, .xml and .json files 5) Uploading - In this script based Python (no UI), upon completion of the process and validations, the assets are uploaded on a cloud storage. This is an integration of Python, Smartsheet and a cloud storage Considering the widely available feature and ease of implementation, we were able to automate most of our activities using the integration of Python and Smartsheet. **What do you dislike about Python?** While, our activities are not time bound or use up extensive processing, the widely know issues like slowness, memory allocation or design restriction, they do not bother us as such. Our work gets done, so for now we don't see any issue to be disliked. **What problems is Python solving and how is that benefiting you?** By using Python, we are saving a lot of time creating folders, extracting data from Smartsheet, updating data into smartsheet, downloading assets from G-drive ### 24. Effortless Development with Python's Simple Syntax **Rating:** 5.0/5.0 stars **Reviewed by:** Dwaipayan B. | Associate Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** November 29, 2025 **What do you like best about Python?** It's my daily work to use Python and develop applications, this is my job, and everything it provides is best, mostly it's ease of learning and simple syntax **What do you dislike about Python?** Nothing as such. It is solving all my problems right now and nothing to be disliked about it yet. **What problems is Python solving and how is that benefiting you?** All my day to day problems are being solved by Python, all the applications I develop is done in Python ### 25. Coding like english **Rating:** 5.0/5.0 stars **Reviewed by:** Naseet R. | Founder, Financial Services, Small-Business (50 or fewer emp.) **Reviewed Date:** April 02, 2026 **What do you like best about Python?** I like it's massive library ecosystem, which allows me to solve complex problems in just few lines of code. **What do you dislike about Python?** I Don't like it's slow execution speed. **What problems is Python solving and how is that benefiting you?** Python makes coding feel like writing english, so I can spend less time struggling with complex syntax. ### 26. Python for Software Testing with HIL Bench **Rating:** 5.0/5.0 stars **Reviewed by:** Meet D. | Hardware-in-the-Loop Engineer II, Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2025 **What do you like best about Python?** Python is very easy to learn. There are so many library available so we can use for Test automation. **What do you dislike about Python?** There is no issue with python until now. Visual Studio Code is great IDE and i can get easily debug error. **What problems is Python solving and how is that benefiting you?** I am a HIL Engineer, and I use NI VeriStand for HIL testing. Using the Python niveristand library, I have written many test scripts for functional safety and validation of automotive VCU software. With Pytest, I can easily generate test reports. ### 27. Python: The king **Rating:** 5.0/5.0 stars **Reviewed by:** Luca P. | Chief Operations Officer DEQUA Studio | Formerly CTO in MarTech, Marketing and Advertising, Small-Business (50 or fewer emp.) **Reviewed Date:** July 04, 2025 **What do you like best about Python?** • Python stands out as a high-level, general-purpose programming language with a design philosophy focused on code readability and simplicity. The syntax is clean and uncluttered, relying on indentation rather than braces or semicolons to define code blocks, which not only makes the code visually appealing but also reduces the likelihood of syntactic errors. This approach aligns with the Zen of Python principles, emphasizing that “readability counts” and “simple is better than complex,” which are deeply ingrained in the language’s evolution. • Python supports multiple programming paradigms, including object-oriented, procedural, and functional programming. This multi-paradigm nature allows developers to choose the most suitable approach for the problem at hand, whether it involves building modular, reusable components using classes, or leveraging functional constructs like map, filter, and reduce for data processing. The language also features advanced constructs such as list comprehensions, generators, and decorators, enabling concise expression of complex logic. • A major strength of Python is its dynamic typing system, where variable types are determined at runtime. This feature enables rapid prototyping and flexibility in code, as developers are not required to declare variable types explicitly. Python’s interpreted nature means code is executed line by line, facilitating interactive development, immediate feedback, and easier debugging. The interactive shell and bundled development environments like IDLE further enhance this experience, making it straightforward to test ideas and troubleshoot issues. • The standard library is extensive, covering everything from file I/O and regular expressions to networking and web services. This rich ecosystem reduces the need for third-party dependencies for common tasks and accelerates development by providing well-tested, ready-to-use modules. In addition, Python’s integration capabilities are robust: it can interface with C, C++, Java, and other languages, and is frequently used as a “glue language” to connect disparate systems. • Python’s open-source status and cross-platform compatibility are significant advantages. The language runs natively on Windows, macOS, Linux, and Unix, and unofficial builds exist for mobile platforms. The vibrant, global community contributes to a wealth of documentation, tutorials, and third-party libraries, ensuring that support is readily available for both beginners and experienced developers. The ecosystem includes popular frameworks for web development (Django, Flask), data analysis (pandas, NumPy), machine learning (TensorFlow, scikit-learn), and more, making Python a versatile choice across domains. • Python’s suitability for rapid development and prototyping is well recognized. Its concise syntax and high-level abstractions allow for quick translation of ideas into working code, which is particularly valuable in fast-paced environments or when developing minimum viable products. The language’s automatic memory management and built-in exception handling further streamline the development process, reducing boilerplate and minimizing the risk of memory leaks or unhandled errors. • Python’s role in modern technology stacks is prominent. It is widely adopted in fields such as data science, artificial intelligence, web development, automation, and Internet of Things (IoT). The language’s flexibility allows it to be used for scripting, building complex applications, or as an embedded scripting language within larger systems. Its popularity is reflected in the job market and community activity, ensuring continued evolution and relevance. **What do you dislike about Python?** • Performance limitations: As an interpreted language, Python generally executes code slower than compiled languages like C++ or Java. This can be a bottleneck for compute-intensive or real-time applications. • Memory consumption: Python’s dynamic typing and high-level abstractions can result in higher memory usage, especially when handling large datasets or complex data structures. • Global Interpreter Lock (GIL): The GIL restricts true multi-threaded execution in CPython, limiting concurrency for CPU-bound tasks and affecting scalability in certain scenarios. • Dependency management: The vast ecosystem of third-party packages can lead to version conflicts and intricate dependency trees, complicating project maintenance. • Mobile development: Native support and tooling for mobile platforms are less mature compared to other languages, making Python less suitable for mobile-first projects. • Dynamic typing pitfalls: While dynamic typing increases flexibility, it can also lead to runtime errors that are harder to detect during development, particularly in large codebases. **What problems is Python solving and how is that benefiting you?** From a technical development perspective, Python addresses several critical challenges in modern software engineering. Its straightforward syntax and extensive standard library accelerate the development lifecycle, enabling teams to deliver features and prototypes rapidly without sacrificing maintainability. The language’s cross-platform compatibility ensures that codebases can be deployed across diverse environments with minimal adjustments, streamlining operations and reducing overhead related to system-specific issues. Python’s integration capabilities allow it to serve as a bridge between legacy systems and modern services, facilitating gradual modernization and interoperability within complex business infrastructures. Its suitability for automation empowers organizations to streamline repetitive tasks, reducing manual errors and freeing up developer time for higher-value activities. In the realm of data analytics and machine learning, Python’s ecosystem provides robust tools for extracting insights and building predictive models, supporting data-driven decision-making and innovation. The open-source nature of Python, combined with its active community, leads to cost-effective development. There are no licensing fees, and the abundance of free libraries and frameworks reduces the need for custom development and shortens project timelines. For teams, Python’s readability and consistency promote collaboration and ease onboarding, mitigating risks associated with staff turnover or scaling development efforts. In summary, Python’s technical strengths—readability, versatility, rapid prototyping, and integration—make it a foundational tool for modern development teams seeking to build scalable, maintainable, and innovative solutions across a wide array of domains. ### 28. Python for Data Science, AI and Machine Learning **Rating:** 5.0/5.0 stars **Reviewed by:** KharanKumar R. | Data Analyst, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** September 27, 2025 **What do you like best about Python?** Python is easy to use and helps with many lobraries work in different machine learning models to build. Also easy to integrate with multiple softwares. And I use regularly and easy to implement the ideas. **What do you dislike about Python?** Frontend things like api still we have to depend on other programming languages. **What problems is Python solving and how is that benefiting you?** Python is solving many problem by building the models and solving customer solution. That benefit us to get more projects. ### 29. A versatile and developer friendly language with room to grow in typing **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Leisure, Travel & Tourism | Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Python?** Python shines with its clean and readable syntax, which allows developers to write less code and accomplish more. It's extremely powerful enough for large scale applications. The rich ecosystem of libraries and frameworks, especially for web development, data science and automation, makes it a go to language across many domains. The active community and extensive documentation also make problem solving and learning much smoother. **What do you dislike about Python?** While Python's dynamic typing is convenient, its type system still feels limited compared to more better solutions like TypeScript. Even with the addition of type hints and tools like mypy, the enforcement is optional and lacks the strictness and tooling support that make TypeScript's typing so effective. This can lead to runtime issues that would be caught during compile time in statically typed languages. **What problems is Python solving and how is that benefiting you?** Python, especially through the Django framework, helps me rapidly build and scale web applications with clean architecture and maintainable code. It takes care of many common development tasks out of the box, like authentication, database management and admin interfaces. It saves significant development time. This allows me to focus more on solving business specific problems rather than reinventing the wheel. Python's simplicity and Django's batteries included approach help speed up MVP development and iteration cycles ### 30. Python Review of the code **Rating:** 5.0/5.0 stars **Reviewed by:** Javier C. | Full Stack developer, Education Management, Small-Business (50 or fewer emp.) **Reviewed Date:** August 19, 2025 **What do you like best about Python?** Python is a very useful language that can be combined with AI and generate new AI requests or things that are helpful **What do you dislike about Python?** Well that we use pyscript to run it on the computer **What problems is Python solving and how is that benefiting you?** yes, help to solve problems with language and a fast code language wher eyou can import different feature to use it and easier handle the problems that can appear ### 31. Effortless and Dynamic Coding Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Vijay Kumar R. | Technology Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Python?** Coding is simple to understand and write dynamic code **What do you dislike about Python?** Currently no dislikes with python codes. **What problems is Python solving and how is that benefiting you?** Easy of writing programming helping to create applications easy. ### 32. Python helped me with automation of my work **Rating:** 5.0/5.0 stars **Reviewed by:** Shivesh R. | Graduate Trainee, Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2025 **What do you like best about Python?** It's easy to learn and use. It is also having so many libraries for different tasks and also a great support forum. **What do you dislike about Python?** It's not that fast and lacks machine level programming. It's also not good with frontend. **What problems is Python solving and how is that benefiting you?** It helps me to automate my tasks and calculation and also helps me with my daily codification easy. ### 33. Perfect for what its meant to do **Rating:** 5.0/5.0 stars **Reviewed by:** Ashrith S. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** July 31, 2025 **What do you like best about Python?** Easy to code, easy to import packages, easy to package stuff **What do you dislike about Python?** Speed and latency cannot be set, but thats good **What problems is Python solving and how is that benefiting you?** Work on ML models, data driven code. Show presentable results ### 34. A frendly language **Rating:** 5.0/5.0 stars **Reviewed by:** Felix V. | Technical Support Representative, Computer Networking, Small-Business (50 or fewer emp.) **Reviewed Date:** November 23, 2022 **What do you like best about Python?** The easy and direct way to write the software and the versatility of his depuration **What do you dislike about Python?** It can´t be anything that can be disliked; this is an excellent language **What problems is Python solving and how is that benefiting you?** It can be used on any kind of issue with any program, is versatile and easy to grow, and is also very helpful on complementation with a database server or a multipurpose software ### 35. Test development **Rating:** 4.5/5.0 stars **Reviewed by:** Kengoum R. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 16, 2025 **What do you like best about Python?** Python is a very easy to use programming language. It integrates many features: OOP, multithreading and thanks to frameworks it even allows you to develop rest APIs but also mobile applications. It is true that the area in which it is most used is the development of AI scripts because the implementation of it is relatively simple given the number of libraries developed for it. I use it a lot for my work and with the user community around, I rarely have problems that no one else has yet, there is always someone to help. **What do you dislike about Python?** Python with all its advantages has a drawback that I cannot let pass, the non-existent typing. It started with a good intention but it makes you find yourself in situations that are not very pleasant. Also the fact of not being verbose enough, OOP is applied but not in its entirety, the attributes are private, only implicitly, we can access them if we are stubborn enough. **What problems is Python solving and how is that benefiting you?** I am a Software Engineer consultant so my role is to develop applications to solve problems, in this context, I sometimes use python to develop rest APIs but also design NLP scripts. The use I currently make of it is to integrate a language translation and audio-text tool into a talent management solution ### 36. Excellent programming language **Rating:** 5.0/5.0 stars **Reviewed by:** Jonathan P. | DBA de desarrollo, Small-Business (50 or fewer emp.) **Reviewed Date:** June 03, 2025 **What do you like best about Python?** How flexible it is to integrate with other apps **What do you dislike about Python?** Nothing, it seems perfect to me! It's a powerful and solid language. **What problems is Python solving and how is that benefiting you?** I create interaction bots through this language because of its speed and flexibility to integrate with other APIs. ### 37. Benefits of Python **Rating:** 5.0/5.0 stars **Reviewed by:** Nitish k. | Data Analyst - Operations, Small-Business (50 or fewer emp.) **Reviewed Date:** May 13, 2025 **What do you like best about Python?** Easy to implement. Good Code structure. No difficulty in understanding the syntaxes. Also I use it more frequently in various projects. Features are very good. Easy to install. Can be integrated with various databases and sheets. Offers a good community and customer support **What do you dislike about Python?** Nothing as such. Currently everything is good **What problems is Python solving and how is that benefiting you?** Problems such as analyzing large datasets, generating insights and also connecting to databases is very much easier in Python than other programming languages. Also websites can also be built easily in Python ### 38. 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. ### 39. All you need in your hand **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Small-Business (50 or fewer emp.) **Reviewed Date:** July 29, 2025 **What do you like best about Python?** Python is useful for various tasks and it is pretty extensible. **What do you dislike about Python?** Working with many modules can drive you to instability **What problems is Python solving and how is that benefiting you?** Various: document customization, ML/AI, video production ### 40. Review for Python **Rating:** 5.0/5.0 stars **Reviewed by:** Lakshmi Chaitanya Prabha S. | Data Analyst (Associate) , Enterprise (> 1000 emp.) **Reviewed Date:** November 30, 2024 **What do you like best about Python?** Python is very simple programming language. It is very readable and every one can learn it easily. All it's pre defined libraries makes developers work easy. It has cross platform compatibility. Users can run the code in any operating system. **What do you dislike about Python?** It has relatively bit slow when compared to other programming languages like c++ and Java. **What problems is Python solving and how is that benefiting you?** Python is widely used for automation to solve the problems of managing resources, configuring services and handling deployments. We can also integrate Python with Alteryx and several other BI tools. Recently, I've implemented an alteryx workflow and integrated python. It help us to create a ppt or any other type of document by just one click. It saves lots of time we are spending to create it manually on monthly basis. ### 41. Python **Rating:** 5.0/5.0 stars **Reviewed by:** Nishant J. | Sr RPS consultant, Enterprise (> 1000 emp.) **Reviewed Date:** April 29, 2025 **What do you like best about Python?** Low code and easy to understand very power full **What do you dislike about Python?** Nothing all looks good easy to learn phyton **What problems is Python solving and how is that benefiting you?** So far all good market is open ### 42. 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 ### 43. Python is the ultimate language which is used for multipurpose. **Rating:** 4.5/5.0 stars **Reviewed by:** Atik M. | Junior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2024 **What do you like best about Python?** The thing that excites me the most is how easy the Python syntax is. The way it reads, almost like a normal sentence, makes it very easy to pick up and very easy to understand. It really changed everything whenever you got really stuck into something or maybe you were trying to understand somebody else's coding very quickly. **What do you dislike about Python?** To be honest, there is really not much to dislike about Python. Sometimes flexibility can make the code less predictable than in some stricter languages, but that's a pretty minor trade-off for ease of use. **What problems is Python solving and how is that benefiting you?** Python has been a huge productivity booster. Thus, I automated tons of work that would consume time anyway. In turn, this left me with free time to get on to more interesting projects. Moreover, having Python in my pouch drew new opportunities for jobs and collaboration into my life. ### 44. Easy to learn and get started with **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Market Research | Small-Business (50 or fewer emp.) **Reviewed Date:** June 11, 2025 **What do you like best about Python?** It is very human-readable and there are lots of learning resources. **What do you dislike about Python?** Knowing about all the libraries and packages can be a little overwhelming. **What problems is Python solving and how is that benefiting you?** Scraping. ### 45. Reviewing the data science language Python... **Rating:** 4.5/5.0 stars **Reviewed by:** Kunal M. | Data analysts, Small-Business (50 or fewer emp.) **Reviewed Date:** July 28, 2024 **What do you like best about Python?** Python's syntax is clean and straightforward, making it easy to read and write code. The Python community is vibrant, supportive, and welcoming. Whether you're a beginner or an expert, you'll find resources, tutorials, and help readily available. Python's simplicity, versatility, and supportive community make it a joy to work with! **What do you dislike about Python?** The existence of multiple versions (e.g., Python 2 and Python 3) can cause compatibility issues and confusion. **What problems is Python solving and how is that benefiting you?** Python addresses a wide range of problems across various domains, offering significant benefits to developers and organizations such as Data Science and Machine Learning, Cyber Security, and Artificial Intelligence, etc. ### 46. 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. ### 47. One of the easiest programming language **Rating:** 5.0/5.0 stars **Reviewed by:** Emma J. | Backend Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 05, 2024 **What do you like best about Python?** Python is easy to learn but the capability is not limited. There are thousands of opportunites which are opening for python developers daily. We can build cross platform tool also by using python. These are my favourite part to choose it as my favorite programming language. **What do you dislike about Python?** Python is super easy high level programming language, so there is not much control of developers in the core concept. It's a downside i think. **What problems is Python solving and how is that benefiting you?** Python is helping me by making my tasks easy. I can do scripting also which saves my valuable time and automates my task. That's one of my favorite part of using Python. ### 48. At that time, this one is the top Programming language out there. **Rating:** 5.0/5.0 stars **Reviewed by:** Bina K. | Backend Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 03, 2024 **What do you like best about Python?** i am using python because of of it's easy to use usability. It doesn't take much time to learn and implement it in real life. I have automated some task through it. Thats why it's my favorite programming language. **What do you dislike about Python?** Python is a very easy to use programing language. But when i am switching from one other language to this language then it may take some time to get used to it. **What problems is Python solving and how is that benefiting you?** it has benefitted me in my real world life. I had build an automatic ticket booker through python and it's purchasing the ticket instead of me. It has saved my times and money and also to stay in the queue and purchasing ticket. ### 49. Python- The most fun coding language **Rating:** 5.0/5.0 stars **Reviewed by:** Alekya Y. | Data Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** September 19, 2024 **What do you like best about Python?** It's a very beginner friendly program language and it easily collaborates with many platforms. The numbers of tasks you can perform are limitless. It aslo feels very game like language and also easy to understand with no so strict structure! **What do you dislike about Python?** As we go on with complex projects it gets a tiny bit harder and there is a learning curve with the amount of libraries and functions atht are readily availble. **What problems is Python solving and how is that benefiting you?** I have done many projects using Python that solve real world problems. It allows me to have a extensive portfolio and to stand out next to my peers. ### 50. Python is must in data science. **Rating:** 5.0/5.0 stars **Reviewed by:** MAYUR U. | Associate, Enterprise (> 1000 emp.) **Reviewed Date:** November 12, 2024 **What do you like best about Python?** It's easy to understand and write code. Who knows English those able to write code in python. **What do you dislike about Python?** Version control of python packages or libraries. **What problems is Python solving and how is that benefiting you?** We doing automation using python. ## 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?section=pricing&secure%5Bexpires_at%5D=2026-05-24+23%3A34%3A04+-0500&secure%5Bsession_id%5D=38b2170e-001a-4e72-8194-b4d73fa7b0f1&secure%5Btoken%5D=535d6e7b4d8d0f66632929899ed1e1b0ae7b9d43c1e0820cc6421ecd53e7d870&format=llm_user) ## 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) - [Forsta](https://www.g2.com/products/forsta/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) - [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [LangChain](https://www.g2.com/products/langchain-langchain/reviews) - [MATLAB](https://www.g2.com/products/matlab/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) - 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