Category: Python
Python tutorials
Python 3.11: Cool New Features for You to Try
Python 3.11 will be published on October 24, 2022. This latest version of Python is faster and more user-friendly. After seventeen months of development, it’s now ready for prime-time use. As in every version, Python 3.11 comes with lots of improvements and changes. You can see a list of all of them in the documentation. Here, you’ll explore the coolest and most impactful new features. In this tutorial, you’ll learn about new features and improvements like: Better error messages with […]
Read moreML Journal 13 – NLP – What is Bloom?
2022/10/21 Today I try to understand how the model Bloom works and what I can do with it.
Read moreClassic NLP in Information Retrieval
7 ideas on how to optimize your search engine with Natural Language Processing without Transformers Written by Daniel Popek and Paweł Mielniczuk.
Read moreDATA WRANGLING on UDACITY
My second project for the Udacity Nanodegree program on Data Analysis got approved on the first submission. This is something was (still am) proud of because it happened just that ONE time lol😂 For this project, we were asked to get data from 3 different sources and then use them to perform simple analysis. The main
Read moreNLP — Natural Language Processing Landscape
Photo by Waldemar
Read morePython Script to Steal Credit Card And Browser-Saved Passwords
Python Script That Will Steal Credit Card and Passwords From Browser And Decrypt the Encrypted Passwords. Hey guys back to another Blog. In this blog I am going to share with you a Python Script that can not only steal Credit Card and Passwords from Browsers but also decrypt the encrypted passwords to plaintext and get Bookmarks of the Browser.
Read moreDesigning a High-Pass FIR Filter using the windowing method
Finite Impulse Response (FIR) filters are of great interest in digital signal processing tasks because they have a linear phase response and do not cause many distortions to the filtered signal. Furthermore, unlike an Infinite Impulse Response (IIR) filter, the FIR filter is non-recursive, i.e. it has no feedback (it uses only samples of the input signal) and, consequently, is a naturally stable filter.
Read more