Python is one of the most popular programming languages and has several insightful use cases in diverse sectors. Currently, Python is exceedingly used by Artificial Intelligence developers, Machine Learning Engineers, and Data Science Professionals as it offers the most feature-rich data science libraries.
What is Library?
In programming, a library is considered a collection of programs, files, routines, scripts, or functions that can assist a developer in writing codes.
Why Python?
Python is a programming language best for automating tasks, developing software and websites, and conducting data analysis. And it is considered the ideal choice for data science tasks. Python is leveraged by many AI engineers and Data Science professionals as it offers the best functions to perform tasks related to mathematics, statistics, and scientific functions.
Top 5 Data Science Libraries in Python
- TensorFlow
- SciPy
- NumPy
- Pandas
- Matplotlib
Let’s know a little more about these libraries and their most common applications.
TensorFlow
- Image Recognition
- Voice RecognitionMobile companies
- Video Detection
- Text-based applications
SciPy
- Linear Algebra
- Calculus
- Ordinary Differential Equation Solving
- Signal Processing
NumPy
- Alternative for lists and arrays in Python
- Maintain minimal memory
- multi-dimensional arrays
- Mathematical operations
Pandas
- Economics
- Recommendation Systems
- Stock Prediction
- Neuroscience
- Statistics
- Advertising
- Analytics
- Natural Language Processing
Matplotlib
- Generate Plots
- Histograms
- Power Spectra
- Bar Charts
- Error Charts
Apart from these mentioned applications of these data science libraries, other uses make Python the most preferred programming language for data science, Artificial Intelligence, and Machine Learning. Organizations consider the knowledge of this python when they hire data scientist for their project. Considering the current hype toward data science, the demand for skilled data scientists will continue rising. It is recommended to the organizations hire data scientists well versed in these mentioned libraries of python with awareness of all its features.
I hope you found this article useful. Feel free to share your thoughts regarding data science.
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