6 Uses For The Python Programming Language
The Python programming language is a versatile and easy to learn language that can support a number of software development initiatives across an assortment of industries. Below, we outline the most common uses of the language and why Python is the ideal fit.
1. Data Science and Machine Learning
We have an entire article on Why Use Python For Data Science but the short and sweet version is that Python offers a number of libraries and applications to make data science, data visualization and machine learning work easy.
Here are 10 useful Python Libraries for Data Science & Machine Learning:
- SciPy
- NumPy
- Pandas
- Matplotlib
- TensorFlow
- Seaborn
- Scikit Learn
- NLTK
- Gensim
- Plotly
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2. Web Development
The Python programming language is a powerful language used for back-end web and server-side application development. It essentially powers everything behind the scenes on a website so that a user can access the data requested and perform the functionality expected.
The two most popular Python web frameworks are Django and Flask.
3. Computer Vision & Image Processing
This field supports the development of self-driving cars, facial recognition and more. While this technology is gaining in popularity, Python again makes the work in this field easier with their supporting libraries and tools, such as OpenCV, scikit-image, Cloud Vision and more.
4. Game Development
Similar to web development, Python offers unique frameworks for game development including pygame and pyglet. These frameworks make it easier to develop simple to advanced games in terms of user interface and graphics.
5. Sciences
Astronomy, neuroscience, biology, hematology and pharmacology all use Python to help foster greater efficiency and advancements within their fields.
Python libraries, frameworks and packages to support the sciences:
- pyGeno
- MedPy
- Biopython
- ProDy
- PySB
- PyschoPy
- Astropy
- SunPy
- SpacePy
6. Fintech
From PayPal to Venmo, financial technologies and even some traditional banks are increasingly using Python to fuel their applications and web development functions. It is the ease of use and modelling capabilities that make this language ideal for finance.
Lee Waite of Citigroup Holdings said in an interview, that they want their investment bank analysts to understand Python and they found “at least an understanding of coding seems to be valuable.”
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