We're offering 20% off September Live Online classes! See which courses are applicable.   |   Details

AccountIcon BigDataIcon BlogIcon default_resource_icon CartIcon checkmark_icon cloud_devops_icon computer_network_admin_icon cyber_security_icon gsa_schedule_icon human_resources_icon location_icon phone_icon plus_icon programming_software_icon project_management_icon redhat_linux_icon search_icon sonography_icon sql_database_icon webinar_icon

Search UMBC Training Centers

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: 

  1. SciPy 
  2. NumPy
  3. Pandas  
  4. Matplotlib 
  5. TensorFlow
  6. Seaborn 
  7. Scikit Learn 
  8. NLTK
  9. Gensim
  10. Plotly 

Learn Python For Data Science

This 5 day course is a comprehensive introduction to Python programming with a focus on understanding and using the Pandas library for storing data in DataFrames and plotting portions of the data with matplotlib. In addition to data visualization, you will learn how to use the Pandas library to import and filter data. Typical data science skills such as data interpretation and analysis will be addressed.

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.”

Software Developer Foundations Course

Gain The Python Programming Skills You Need

Our Software Developer Foundations course provides the introductory skills in Python that you need to build a successful software development career.

Contact Us