5 Python Libraries For Data Science Beginners | Pandas | NumPy | Matplotlib | Seaborn | SciPy

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In this video, we are telling about the most useful & common Python Libraries for Data Science, with their use and some basic commands.

1. Pandas
Pandas is the most famous library for Data Analysis.
Pandas is an open-source library that allows us to perform data manipulation in Python.
Pandas provides an easy way to create, manipulate and wrangle the data.

Some Basic Pandas Commands :
import pandas as pd - To Import the Pandas Library.

2. Numpy
NumPy – Numerical Python
Numpy is an open-source library that is used for performing mathematical operations on arrays.
Numpy is a general-purpose array processing package.
Numpy provides a high-performance multidimensional array object and tools for working with these arrays.
Numpy contains a multi-dimensional array and matrix data structures.

Some Basic Numpy Commands :
import numpy as np - To Import the Numpy Library.
A.reshape ( 3,4 ) – To reshape an array in 3x4 size.
A[1:2,1:2,1:2] – Array indexing

3. Matplotlib
Matplotlib is a powerful library for creating graphs and charts.
Matplotlib in Python is used for visualization purposes.
Matplotlib allows us to draw many different types of plots like :
Line Plot
Bar Plot
Scatter Plot
Pie Chart
Heat Map

Some Basic Matplotlib Commands :
Select & Convert the Cell to MarkDown -- Edit Tab -- Insert Image -- Run - To insert an image in Jupyter Notebook.

4. Seaborn
Seaborn is an open-source library based on matplotlib.
Seaborn provides a variety of visualization patterns by using fewer syntax.
Seaborn is preferred to draw interactive and informative graphics.

Some Basic Seaborn Commands :
import seaborn as sns – To import the Seaborn library.

5. SciPy
SciPy – Scientific Python
SciPy is an open-source library based on Numpy.
SciPy is used to perform Scientific & Mathematical operations.
SciPy is used in the fields of mathematics, science, and engineering.
There are many sub-packages also in SciPy like : Cluster, Integrate, Optimize etc.
import scipy - To import SciPy library.

Data Analytics Projects for beginners :

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[monstermangaming]

Very clear and simple information . Thanks to you