Introduction to Matplotlib (Part-1) | Getting Started

Welcome to the first part of my video series on "Introduction to Matplotlib"!

Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, the jupyter notebook, web application servers, and four graphical user interface toolkits.

In this series, we will explore:
- Line Plot
- Customizing Line Plots
- Bar Chart
- Histogram
- Scatter Plot
- Pie Chart
- Curve Plot
- Subplots

https://github.com/nikhilkumarsingh/IntroToMatplotlib

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Explore my tutorials: https://nikhilkumarsingh.github.io/tutorials/

More awesome topics covered here:
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Curses in Python : https://tinyurl.com/y8ws3x4l
Discovering Hidden APIs : https://tinyurl.com/y7sdegoq
RegEx in Python : https://tinyurl.com/y84cnuns
Python for Data Science : https://tinyurl.com/yd7x6j5e
Introduction to Pandas : https://tinyurl.com/ycr4qytt
Introduction to Matplotlib : https://tinyurl.com/y8caem3r
Introduction to Numpy : https://tinyurl.com/yc8uhtn9
Functional Programming in Python : https://tinyurl.com/ybubzum6
Python Package Publishing : https://tinyurl.com/ya2fn3wb
Multithreading in Python : https://tinyurl.com/ycnummb8
Multiprocessing in Python : https://tinyurl.com/y8qkjqtx
Parallel Programming in Python : https://tinyurl.com/yakl5udt
Concurrent Programming in Python : https://tinyurl.com/y9ppkkhc
Dataclasses in Python : https://tinyurl.com/y8zfqleq
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Just For Fun : https://tinyurl.com/y9on8gb5
Exploring AWS : https://tinyurl.com/ydxmhhz9
Jupyter Notebook (Tips, Tricks and Hacks) : https://tinyurl.com/y8qdhcrp
Decorators in Python : https://tinyurl.com/y7ghraa9
Inside Python : https://tinyurl.com/yd8xqbjj
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Python for web : https://tinyurl.com/y829py3g
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