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Python

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Company health

Employee growth
32% decrease in the last year

Python description

Python is a versatile programming language known for its clear syntax and readability. It's used by companies of all sizes for various tasks, from automating simple processes to building complex web applications and analyzing data. Its ease of use and broad community support make it an excellent choice for both beginners and experienced programmers.


Who is using Python?


Who is Python best for

Python is a versatile programming language praised for its readability and ease of use. Its extensive libraries cater to diverse needs, from web development and data analysis to AI and machine learning. Users appreciate its simple syntax and strong community support, while some note its slower runtime compared to languages like C++ or Java. It's a popular choice for both beginners and experts.

  • Ideal for small, medium, and enterprise companies.

  • Best fit for Software, IT & Telecommunications.


Python features

Type in the name of the feature or in your own words tell us what you need
Supported

Python has open-source community support, not a separate community edition like MySQL.

Supported

Python supports extensions through libraries and package management.

Supported

Python can read MySQL data, but requires code using libraries.

Supported

Python is a programming language and thus satisfies the requirement.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Value and Pricing Transparency

Rather positive
+0.5

Customer Service

Strongly positive
+1

Ease of Use

Strongly positive
+0.96

Reliability and Performance

Rather negative
-0.53

Ease of Implementation

Strongly positive
+0.88

Scalability

Neutral
+0

Python reviews

Pros of Python
  • Simple and readable syntax, making it easy to learn and use.
  • Large and supportive community with extensive resources and tutorials.
  • Vast collection of libraries and frameworks for various tasks (e.g., AI, web dev, data analysis).
  • Versatile and can be used for a wide range of applications.
  • Open-source and free to use.
  • Easy integration with other platforms and tools.
  • Cross-platform compatibility.
  • Great for beginners and experienced programmers.
  • Excellent for scripting and automation.
  • Powerful for data science, machine learning, and AI.
  • Clean object-oriented design.
  • Easy deployment.
  • Good for rapid prototyping.
  • Extensive documentation.
  • Helpful for automating daily tasks.
  • Strong support for machine learning, deep learning, and NLU.
  • Enables GPU usage through libraries like TensorFlow.
  • Useful in education for creating interactive games.
Cons of Python
  • Slow runtime compared to other languages like C++/Java.
  • Difficult to manage multiple threads.
  • Runtime errors can be difficult to debug.
  • High memory consumption.
  • Limited mobile development support.
  • Version incompatibility issues between Python 2 and 3.
  • Web development frameworks can be slow (e.g., Django).
  • Some libraries are dependent on other specific library versions, causing errors.
  • Limited control over core concepts due to high-level abstraction.
  • Difficult to upgrade Python versions.
  • Indentation-based syntax can be challenging.
  • External software (IDE) required for efficient use.
  • Some core programming concepts (like pointers) absent or behave differently.
  • Not ideal for performance-critical applications.
  • Web development capabilities not as strong as dedicated frontend languages.
  • Can be slow when handling large datasets or complex projects

Python pricing

The commentary is based on 10 reviews from Python G2 reviews.

Python is free, open-source, and praised for its beginner-friendly syntax and vast libraries. While some find external library dependencies cumbersome and execution speed a drawback, its cost-effectiveness makes it a popular choice.

Users sentiment

Rather positive
+0.5

Python alternatives

  • Logo of Minitab Statistical Software
    Minitab Statistical Software
    Better for users seeking a dedicated statistical software package. A good Python alternative for those who prioritize ease of use over coding flexibility. Has slower momentum than Python.
    Read more
  • Logo of Appian
    Appian
    Better for business process management and automation. A low-code platform suitable for less technical users. Well-suited to regulated industries like finance, insurance, and the public sector. A strong Python competitor for workflow automation and application development.
    Read more
  • Logo of Kawa
    Kawa
    Better fit for developers familiar with Java. Geared towards web development. Shows more momentum.
    Read more
  • Logo of WordPress.org
    WordPress.org
    Better for those seeking a website builder. More suitable for various industries like healthcare, finance, and e-commerce. Primarily focused on website creation and management.
    Read more
  • Logo of emSigner
    emSigner
    Better for businesses focused on legally compliant and secure digital document signing. More user-friendly, but with potentially slower loading times and less flexible pricing. Not suitable for software development or coding tasks. A Python alternative or competitor for digital document management.
    Read more
  • Logo of AWS Cloud9
    AWS Cloud9
    Better for teams using AWS. Is growing faster than Python. More focused on cloud IDE features.
    Read more

Python FAQ

  • What is Python and what does Python do?

    Python is a versatile and readable programming language used for web development, data analysis, automation, and AI. Its large community and extensive libraries make it suitable for beginners and experts, though runtime speed and mobile development support are limitations.

  • How does Python integrate with other tools?

    Python integrates seamlessly with other tools and platforms through its extensive libraries and APIs. This allows for easy data exchange, process automation, and incorporation into diverse workflows, enhancing its versatility for various applications.

  • What the main competitors of Python?

    Alternatives to Python include Java, C++, JavaScript, and R. These languages offer diverse strengths: Java for enterprise applications, C++ for performance-intensive tasks, JavaScript for web development, and R for statistical computing. The best choice depends on project needs.

  • Is Python legit?

    Yes, Python is a safe and legitimate programming language. It's open-source, widely used, and supported by a large community, making it a reliable choice for various applications, from web development to data science. Its ease of use and extensive libraries enhance its safety and practicality for developers.

  • How much does Python cost?

    Python is a free and open-source programming language. Therefore, there is no cost associated with using Python itself. However, some Python-related tools or libraries may have associated costs.

  • Is Python customer service good?

    Customer reviews frequently mention Python's helpful and responsive community support, readily available through various platforms like Stack Overflow and Discord servers. Users praise the comprehensive resources and tutorials, making it easy to find solutions and assistance.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.