Software Alternatives & Reviews

Introducing Flama for Robust Machine Learning APIs

Python Poetry Python Package Index Pandas NumPy
  1. Python packaging and dependency manager.
    Pricing:
    • Open Source
    We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

    #Kids #Front End Package Manager #Package Manager 144 social mentions

  2. A repository of software for the Python programming language
    Pricing:
    • Open Source
    We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

    #Translation Service #Languages #Productivity 68 social mentions

  3. 3
    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 197 social mentions

  4. 4
    NumPy is the fundamental package for scientific computing with Python
    Pricing:
    • Open Source
    Numpy: A library for scientific computing in Python.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions

  5. 5
    Binary package manager with support for environments.
    When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.

    #Package Manager #Front End Package Manager #Developer Tools 29 social mentions

Discuss: Introducing Flama for Robust Machine Learning APIs

Log in or Post with