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If you're new to the world of Science, Technology, Engineering, and Mathematics (STEM), it can be a bit overwhelming. Not to worry; this guide is designed to help you navigate the lingo.
Table of Contents
1. [Programming Languages](#programming-languages)
2. [Development Tools](#development-tools)
3. [Web Technologies](#web-technologies)
4. [Data Science Terms](#data-science-terms)
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Programming Languages
1. Python - A versatile, beginner-friendly language commonly used in web development, data science, and artificial intelligence.
- [Official Python Website](https://www.python.org/)
[Python GitHub Repository](https://github.com/python/cpython)
2. JavaScript - The language of the web, essential for front-end development.
[JavaScript MDN Documentation](https://developer.mozilla.org/en-US/docs/Web/JavaScript)
[JavaScript GitHub Repository](https://github.com/tc39/ecma262)
3. Java - A language often used in enterprise applications and Android app development.
[Official Java Website](https://www.oracle.com/java/)
[Java GitHub Repository](https://github.com/openjdk/jdk)
Development Tools
1. Git - A version control system that helps you track changes and collaborate with others.
[Official Git Website](https://git-scm.com/)
[Git GitHub Repository](https://github.com/git/git)
[ReadMe Project](https://github.com/matiassingers/awesome-readme)
2. IDE (Integrated Development Environment) - Software that provides a complete set of features for software development.
Examples: [Visual Studio Code](https://code.visualstudio.com/),
[PyCharm](https://www.jetbrains.com/pycharm/)
Web Technologies
1. HTML5 - The markup language that forms the structure of web pages.
[HTML5 MDN Documentation](https://developer.mozilla.org/en-US/docs/Web/Guide/HTML/HTML5)
2. HTTPS (HyperText Transfer Protocol Secure) - An encrypted version of HTTP, used for secure communication over a computer network.
[HTTPS Information](https://en.wikipedia.org/wiki/HTTPS)
3. WWW (World Wide Web) - An information system where documents and other web resources are identified by URLs.
[WWW Information](https://en.wikipedia.org/wiki/World_Wide_Web)
Data Science Terms
1. Machine Learning Libraries
[Scikit-learn](https://scikit-learn.org/stable/): For general machine learning.
[TensorFlow](https://www.tensorflow.org/): For deep learning.
2. DataFrame - A 2-dimensional labeled data structure, commonly used in data manipulation and analysis.
Libraries: [Pandas](https://pandas.pydata.org/)
3. Big Data - Extremely large data sets that may be analyzed to reveal patterns, trends, and associations.
Tools: [Hadoop](https://hadoop.apache.org/)
This guide barely scratches the surface, but it's a start. In [Part 2](#), we'll delve deeper into these terms and introduce more advanced topics.
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