Installing Python3 in Linux

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • PyQt-Project

    This is a PyQt project that has the aim of helping developers learn and appreciate desktop user interface desing and implementation.

    Python contains a variety of Graphical User Interface (GUI) frameworks that are being used by developers to create interactive windows and widget controls. The libraries include: PyQt, Kivy, Tkinter and wxPython. For a sneak peek on GUI development with PyQt, please refer to my GitHub repository on PyQt Interfaces and Desktop To-do list.

  • simple_to-do_list

    A simple to do list application for your desktop.

    Python contains a variety of Graphical User Interface (GUI) frameworks that are being used by developers to create interactive windows and widget controls. The libraries include: PyQt, Kivy, Tkinter and wxPython. For a sneak peek on GUI development with PyQt, please refer to my GitHub repository on PyQt Interfaces and Desktop To-do list.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • Python-docker

    Docker Official Image packaging for Python (by docker-library)

    Navigate into the Python directory and configure and ensure enable-optimization option is added as shown in the command below.

  • Django

    The Web framework for perfectionists with deadlines.

    Building, constructing, and maintaining websites is a broad definition of web development. A front-end, which communicates with the client, and a back-end, which contains business logic and interacts with a database, are typical components of web development. Python also supports quite a percentage of the total websites, web apps and software running in the world wide web. The libraries that are applied in web development include: Django, Flask, Pyramid and Turbogears and Web2Py

  • Pyramid

    Pyramid - A Python web framework

    Building, constructing, and maintaining websites is a broad definition of web development. A front-end, which communicates with the client, and a back-end, which contains business logic and interacts with a database, are typical components of web development. Python also supports quite a percentage of the total websites, web apps and software running in the world wide web. The libraries that are applied in web development include: Django, Flask, Pyramid and Turbogears and Web2Py

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Pandas, SciPy, Beautiful Soup

  • NumPy

    The fundamental package for scientific computing with Python.

    According to IBM, Artificial Intelligence (AI) is technology that instructs computers to mimic the human mind in decision-making and problem-solving. Machine Learning (ML) is a subset of AI that consist of procedures that leverage on mathematical data models and algorithms to make predictions. Python implements ML and AI with generally fewer lines of code and pre-built libraries and being a scientific language also comes in support of these technologies. Some of the libraries used in AI and ML include: Tensorflow, Scikit-Learn, Numpy, Keras, Theano

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • kivy

    Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

    Python contains a variety of Graphical User Interface (GUI) frameworks that are being used by developers to create interactive windows and widget controls. The libraries include: PyQt, Kivy, Tkinter and wxPython. For a sneak peek on GUI development with PyQt, please refer to my GitHub repository on PyQt Interfaces and Desktop To-do list.

  • Keras

    Deep Learning for humans

    According to IBM, Artificial Intelligence (AI) is technology that instructs computers to mimic the human mind in decision-making and problem-solving. Machine Learning (ML) is a subset of AI that consist of procedures that leverage on mathematical data models and algorithms to make predictions. Python implements ML and AI with generally fewer lines of code and pre-built libraries and being a scientific language also comes in support of these technologies. Some of the libraries used in AI and ML include: Tensorflow, Scikit-Learn, Numpy, Keras, Theano

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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