Python Programming for absolute beginners

#02-Variables and naming

#SubscribeYouTube

https://youtu.be/_yP7TzxOtP0

Python Programming for Beginners

#03-Install and Configure Python on Visual Studio Code

N.B: Subscribe to receive more videos
https://www.youtube.com/watch?v=z0qCt9mIH_M&t=18s

Many of you are participated in this challenge. Thanks for your participation.
Your answers are correct and accepted.
But you always find the most efficient and optimized algorithm to solve problems.

Here is the efficient solution for the challenge. Share it.

def minimumAbsoluteDifference(arr):
arr.sort()
result = []
for i in range(len(arr)-1):
result.append(abs(arr[i+1]-arr[i]))
return sorted(result)[0]

Types of objects in Python
Converting from one type to another type in Python
#SubscribeYouTube
https://youtu.be/4j80OYDipQI

Advanced YouTube Video Downloader using Python

https://morioh.com/p/4e7657ecf335

Code: https://github.com/Spidy20/IPL_Score_Notifier
@EPythonlab

My choices are #Jupyter and #VSCode. Because interesting tools for data science.

Learn Array with Numpy especially vectors in Numpy, ndarray, mathematical functions with examples

Prerequisite : Python basic concepts, matplotlib to plot the examples

What is Numpy?

NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.

Why is NumPy Fast?

Vectorization describes the absence of any explicit looping, indexing, etc., in the code - these things are taking place, of course, just “behind the scenes” in optimized, pre-compiled C code.

Link: https://numpy.org/devdocs/user/whatisnumpy.html
@epythonlab
Quick start link: https://numpy.org/devdocs/user/quickstart.html

#DataScience #DataMuging #WebScrapping
Data Munging is important to get and process messy and complicated data into structured and tabular format.

We will learn more about.

Change color of the DataFrame Cell

Learning Predictive Analytics with Python
#book
#Machine_learning
@epythonlab

Types of Errors in Python

Subscribe to receive new topics.

Thanks for watching!

https://youtu.be/xZBPHQLJ4Ag

#DataScience #ML
@epythonlab

#KeyNote #SQL #Database #DataAnalyzes #RDMS #Python
Benefits of Python for Database Programming
- Python is a popular scripting language to connect to the database and analyzes the data.
- Python ecosystem: - NumPy, pandas, matplotlib, SciPy
- Ease of use
- Python supports relational database systems
- Python database API's to connect to the database
- Detailed documentation: The python is easily available
@Epythonlab