Epython Lab

Streamline Real-time amharic messaging from ecommerence telegram channels (Large Language Model) Report Github Link

Credit Scoring Model Report Github Link

#NumberChallenge How to put 1000000000 number like 1, 000,000,00.00? Post your solution in the comment

#FindLongestWordLengthChallenge Solution by @Abcdefghijklmnopqrstuvwxyz784629 def findLongestWordLength(name): lis = name.split(); l = len(lis[0]) for i in lis: if len(i) > l: l = len(i) return l; print(findLongestWordLength("The quick brown fox jumped over the lazy dog"))

#FindLongestWordLengthChallenge Coding challenge - Return the length of the longest word in the provided sentence. Your response should be a number. e.g findLongestWordLength("The quick brown fox jumped over the lazy dog") should return 6.

Data Structures with Projects full tutorial for beginners https://www.youtube.com/watch?v=lbdKQI8Jsok

Learn Python from beginners to advanced with practical exercises with VsCode: https://youtu.be/ISv6XIl1hn0 Data Structures with Projects full tutorial for beginners https://www.youtube.com/watch?v=lbdKQI8Jsok OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw Join #epythonlab https://t.me/epythonlab Join https://t.me/epythonlab for more learning resources

Creating and parsing XML documents in Python is a valuable skill for managing and exchanging structured data. In this tutorial, I'll cover the basics of creating XML documents and parsing them using Python's built-in XML module. https://www.youtube.com/watch?v=WnbS90EzU0Y

New to Linux? Learn the basic Linux commands for beginners in this easy-to-follow video tutorial. Master essential commands and start navigating your Linux system like a pro! https://youtu.be/yr65ibmN6-M Don't forget to like, share, and subscribe for more data science and machine learning tutorials! If you have any questions or suggestions for future videos, please leave them in the comments below.

Featured Projects in our Github Check them out : https://github.com/epythonlab

MongoDB Basics and Setup: Your First Steps with MongoDB and VS Code : https://www.youtube.com/watch?v=nm-7rM5mnYE Next we will share you how to create collections and read data. Stay tuned!!

Master MongoDB with VS Code: Step-by-Step Guide to Creating Databases, Collections, and Documents https://youtu.be/KiQKCafwMXU

Sales Forecasting Report Github Source Link Resources

Full-stack web app development full tutorial with python and flask framework https://www.youtube.com/watch?v=tbvZcyTwocA

Python is a general-purpose programming language. It can do almost all of what other languages can do with comparable, or faster, speed. It is often chosen by Data Analysts and Data Scientists for prototyping, visualization, and execution of data analyses on datasets. There’s an important question here. Plenty of other programming languages, like R, can be useful in the field of data science. Why are so many people choosing Python? One major factor is Python’s versatility. There are over 125,000 third-party Python libraries. These libraries make Python more useful for specific purposes, from the traditional (e.g. web development, text processing) to the cutting edge (e.g. AI and machine learning). For example, a biologist might use the Biopython library to aid their work in genetic sequencing. Additionally, Python has become a go-to language for data analysis. With data-focused libraries like pandas, NumPy, and Matplotlib, anyone familiar with Python’s syntax and rules can use it as a powerful tool to process, manipulate, and visualize data. #FaceMask #KeepDistancing #LearnPython #LearnDataScience Join @python4fds for more information

✅TIP Indentation is important for python programming you never miss it. Indentation refers to the spaces at the beginning of a code line. Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important. Python uses indentation to indicate a block of code. Example: for x in range (2, 5): print x N.B: Python will give you an error if you skip the indentation: EXAMPLE: for x in 5: print x

#Tips Why NumPy is faster than array list? ✅Size:- Numpy data structures take up less space ✅Performance:- they have a need for speed and are faster than lists ✅Functionality: - SciPy and NumPy have optimized functions such as linear algebra operations built in. ✅Memory:- The main benefits of using NumPy arrays should be smaller memory consumption and better runtime behavior.