Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems. Buy ads: https://telega.io/c/epythonlab
Больше6 325
Подписчики
+524 часа
+17 дней
-2730 день
Архив постов
6 324
Databases and SQL for Data Science
@epythonlab
Using the JOIN operation to work with multiple tables
https://d3c33hcgiwev3.cloudfront.net/I7tnQHNCEeiMwApe4i-fLg_23e1b370734211e8ba65638f58b17f39_Week2Lab2v3-JOIN-RA.pdf?Expires=1605225600&Signature=iaJB4s6C54b-IEtcSDKXbUlLkrKWuv3k8-087YfEd0~2caxZb3oAHLIUneVt2KVliGgtyR3978dPk1Po-yh3oVdaJzcfHi6tN2iGnh8Z7PyffHwgQmZDp1Uwc-px8n~lLk-M1iUjge8g0p4XJKDR5pGrMH8-n2cS~0~BJlCrrho_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A
6 324
PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step (2019)
@epythonlab
6 324
#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
6 324
Types of Errors in Python
Subscribe to receive new topics.
Thanks for watching!
https://youtu.be/xZBPHQLJ4Ag
6 324
Analyze Your Personal Netflix Data
@epythonlab
https://www.dataquest.io/blog/python-tutorial-analyze-personal-netflix-data/
6 324
#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.
6 324
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
6 324
Advanced YouTube Video Downloader using Python
https://morioh.com/p/4e7657ecf335
Code: https://github.com/Spidy20/IPL_Score_Notifier
@EPythonlab
6 324
Learn Python 3 for Data Science, ML, IoT, and Web Dev with hands on Lab
We will start live conversation on YouTube when we reach out more than 1000 subscribers.
Subscribe "EPYTHON LAB" on YouTube to receive new video and Watch Playlists from scratch.
https://www.youtube.com/channel/UCsFz0IGS9qFcwrh7a91juPg
6 324
Types of objects in Python
Converting from one type to another type in Python
#SubscribeYouTube
https://youtu.be/4j80OYDipQI
6 324
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]
6 324
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
6 324
Python Programming for absolute beginners
#02-Variables and naming
#SubscribeYouTube
https://youtu.be/_yP7TzxOtP0
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