https://github.com/sahansilvadev/working-with-python-libraries

learn how to use python libraries, NumPy , Matplotlib, Pandas, SciPy
https://github.com/sahansilvadev/working-with-python-libraries

Last synced: 9 months ago
JSON representation

learn how to use python libraries, NumPy , Matplotlib, Pandas, SciPy

• Host: GitHub
• URL: https://github.com/sahansilvadev/working-with-python-libraries
• Owner: SahansilvaDev
• Created: 2024-11-14T05:55:37.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-22T22:26:25.000Z (over 1 year ago)
• Last Synced: 2025-04-04T11:18:51.399Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 159 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Working-with-Python-libraries

learn how to use python libraries, NumPy , Matplotlib, Pandas, SciPy...

Python NumPy - np.py file

NumPy is a Python library used for working with arrays.



  
Create an Array

  
Array Indexing

  
Array Slicing

  
Data Types

  
Copy Vs View

  
Iterating 

  
Shape and Reshape

  
Search elements

  
Join and Split



NumPy Random - npRandom.py file

The numpy. random module implements pseudo-random number generators (PRNGs or RNGs, for short) with the ability to draw samples from a variety of probability distributions.



Numpy Random Data Distribution - You can create random data distributed according to different statistical properties

Numpy Random Permutations - The numpy.random.permutation function shuffles the elements of an array or returns a randomly permuted range of numbers.

Numpy Seaborn - Seaborn is a library often used to visualize random data distributions.

Numpy Normal Distribution - The normal (Gaussian) distribution is one of the most commonly used. It is defined by its mean (center) and standard deviation (spread).

Numpy Binomial Distribution - The binomial distribution models the number of successes in a fixed number of trials.

Numpy Poisson Distribution - The Poisson distribution models the number of events in a fixed interval of time or space.

Numpy Uniform Distribution - The uniform distribution generates values evenly distributed between two bounds.



NumPy Random - npUfunc.py file

Universal functions (ufunc) basics. A universal function (or ufunc for short) is a function that operates on ndarrays in an element-by-element fashion, supporting array broadcasting, type casting, and several other standard features 




NumPy ufunc Create

NumPy ufunc Simple Arithmetic

NumPy ufunc Rounding Decimals

NumPy ufunc Logs

NumPy ufunc Summations

NumPy ufunc Products





Python Matplotlib  - matplotlib_file.py file

Matplotlib is a popular data visualization library in Python and Matplotlib allows you to generate plots, histograms, bar charts, scatter plots, etc., with just a few lines of code.



  
Basic plotting

  
Color, Marker, Line Style

  
Limits of axis

  
Subplots 

  
Line chart 

  
Bar chart 

  
Histogram 

  
Pie Chart





Python Pandas  - pandas_file.ipynb file

Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data. The name "Pandas" has a reference to both "Panel Data".



  
Series

  
Data Frame

  
Dictionary

  
Import CSV 

  
Removing Columns in dataset 

  
Get useful data from dataset

  
Filling the missing values with mean 

  
Adding conditions

  
Filtering

  
Dataset Visualize