Python
- Python is a popular programming language with a vast range of libraries and frameworks for various applications.
- Nanjyo Tec uses Python for data analysis, machine learning, web development, and automation, among other applications.
- Python's readability and simplicity, combined with its flexibility, make it an ideal language for diverse programming tasks
What Python Can Do
Web Application Development
Python is widely used for web application development, thanks to its ease of use and a large number of frameworks such as Flask and Django. These frameworks provide tools and libraries that simplify the process of building and deploying web applications. Python's web development frameworks are also known for their scalability, making them ideal for building large and complex web applications.
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Building Large and Complex Web Applications
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Highly Scalable
Data Science Libraries
Python is a popular choice for data science, thanks to its extensive collection of data science libraries such as NumPy, Pandas, and Scikit-learn. These libraries provide a range of tools and functions for data manipulation, analysis, and visualisation, making Python an excellent choice for data scientists and analysts.
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Popular Choice for Data Science
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Flexibility and Scalability
Visualisation
Python has a range of visualisation libraries such as Matplotlib, Plotly, and Seaborn that allow businesses to create powerful and interactive data visualisations. These libraries provide a range of visualisation options, including scatterplots, bar charts, and heat maps, making it easy to identify patterns and trends in data.
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Enhanced Visualisation Libraries
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Powerful Data Visualisation