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What is Jupyter Notebook?
Jupyter Notebook is an extremely powerful open-source, web-based tool that facilitates the creation of documentation. There are many different avenues to provide technical documentation or demonstrations, but Jupyter Notebook makes it possible to embed visualizations and execute live code. It is useful to be able to utilize documentation to describe development concepts or planning, but providing working examples within documentation can be a more effective way of conveying information. This tutorial will cover how to install Jupyter Notebook on an Ubuntu 18.04 LTS server and connect to it remotely via an SSH tunnel.
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IPython is a robust Python shell that handles indentation, syntax highlighting, tab completion, and more. In this tutorial, we will cover how to install IPython and walk through how to make use of some features it makes available. Python provides a default REPL or shell for users to run Python code in real-time and see the results. While this default REPL is extremely useful, it does not handle things like indentation, syntax, or highlighting. This is where Ipython shines.
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What is Java?
Java is considered one of the most popular programming languages. Java is a typed object-oriented programming language developed by Sun Microsystems (and subsequently acquired by Oracle). Development is mainly performed by a community organized through the Java Community Process. The language and the main technologies that implements it are distributed under the GPL but the trademark rights are owned by Oracle Corporation. Code written in Java (using the JVM – Java Virtual Machine) is transformed into bytecode and due to this, programs can run on any system where the JVM is installed. Therefore, Java is often called a cross-platform language. Most often, Java is used to develop backend programs and android applications.
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What is PyCharm?
PyCharm is an IDE (or Integrated Development Environment) for the Python programming language. It is a cross-platform development environment that is compatible with Windows, macOS, and Linux. It provides a tool that integrates code analysis, graphical debugging, unit testing, and also contains an integrated terminal that supports development on remote hosts and virtual machines.
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The SQLAlchemy Toolkit and Object Relational Mapper is an extensive set of utilities for working with Python and databases. This toolkit provides a package full of popular persistence patterns, designed for economical and robust database accessibility. SQLAlchemy allows a developer to use simple SQL statements (unlike other Object Relational Mapping tools) which provide a helpful method to connect database tables with user-defined Python classes. The SQLAlchemy Object Relational Mapping tool is primarily centered on using the SQL Expression language.
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