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Epython Lab

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

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PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step (2019) @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

#DataScience #ML @epythonlab
#DataScience #ML @epythonlab

Types of Errors in Python Subscribe to receive new topics. Thanks for watching! https://youtu.be/xZBPHQLJ4Ag

Learning Predictive Analytics with Python #book #Machine_learning @epythonlab

Practical Data Analysis @epythonlab

Change color of the DataFrame Cell
Change color of the DataFrame Cell

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

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

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

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

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

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]

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

Python Programming for absolute beginners #02-Variables and naming #SubscribeYouTube https://youtu.be/_yP7TzxOtP0

You can find all available books from files.
+4
You can find all available books from files.

Hands-On Data Analysis with Pandas (2019) @epythonlab