In this tutorial, I'm going to talk about some common mistakes that Python developers make and how to prevent them. https://youtu.be/v0w9tdtOCgA

Find the Contiguous Subarray with the Largest Sum in Python

Learn single dimensional array with array library: https://lnkd.in/e7HxQ9YD

Learn multidimensional array with numpy array: https://lnkd.in/es-suuFn

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Why NumPy is faster than regular array list?

Learn more about NumPy Data Manipulation https://lnkd.in/es-suuFn

Python Challenge: Convert Binary number to List

Learn More https://youtu.be/v0w9tdtOCgA

Yes, Python🐍 is easy to learn. Learn and join AI revolution as a Python Developer
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Python Challenge: Get even numbers from a list

Learn More https://lnkd.in/ePuEtE56

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😎 Cool Python 🐍 Tricks 🕺

➕ Learn More Tricks https://lnkd.in/eXzZKvyE

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In this tutorial, you'll learn how to merge dataframes using different types of join operations in Pandas

https://youtu.be/OiYZj4QE30k

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Python Challenge: Converting Hexadecimal to Decimal

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Python Challenge: Check if the Given String is Alphanumeric

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Working with YAML files in Python: Reading and Writing Data

https://youtu.be/1RceY4dQOic

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Step by step tutorial on How to send sms with Python for Free

https://youtu.be/flDxNPo9gKYX

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😎 Cool Python 🐍 Tricks 🕺

➕ 7 Tips for optimizing your Python code
https://youtu.be/eMmmIHG0j6w

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A step by step tutorial how to build a github repo search tool using html, css, and flask.

This project will really help you to get insights on how to  build your own portfolio project using Python as a backend and html CSS as a front end and also integrating third party API to obtain the required data for your project.

Feel free to contribute to this project.

✔️ The source code link is in the description box of this tutorial.
#python #epythonlab #webdevelopment #pythontutorial #flask

https://www.youtube.com/watch?v=iBMtv-MMqKg

Draw Heart with Python Turtle 🐢

Short Videos: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYGcmnMYcDN7Y-bFUvv4IR66
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🐍Python Challenge: Convert Integer to Times

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📚 5 Free Books on Natural Language Processing to Read in 2023

1. Speech and Language Processing
Authors: Dan Jurafsky and James H. Martin

2. Foundations of Statistical Natural Language Processing
Authors: Christopher D. Manning and Hinrich Schütze


3. Pattern Recognition and Machine Learning
Author: Christopher M. Bishop

4. Neural Network Methods in Natural Language Processing
Author: Yoav Goldberg

5. Practical Natural Language Processing

https://epythonlab.t.me/

#books #python #machinelearning #nlp

Github Repository Searching Tool build with flask
https://github.com/epythonlab/github-search-tool/blob/master/Readme.md