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The PYgrammer

The Blog for Python Programmers - From Beginners to Experts.

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A Beginner's-Guide to Logistic Regression with Scikit-Learn in Python

on June 20, 2024

Beginner Tutorial

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OpenCV 101: Getting Started with Image Processing

on August 01, 2023

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A Beginner's Guide to Linear Regression with Scikit-Learn in Python

on July 20, 2023

Beginner Tutorial

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English to Pig Latin Translator (Python)

on May 02, 2021

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5 Simple but Fun Projects with Random Module

on March 26, 2021

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Pranks with Python #2 : Junk File Generator

on November 23, 2020

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Fun Prank with Python - April Fools Day Prank

on June 18, 2020

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Do You Need A Distance Formula Calculator ?

on June 05, 2020

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Do You Need to Find Fibonacci Numbers ?

on June 05, 2020

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Generating Prime Numbers List in Python: The Perfect For Loop Practice

on June 04, 2020

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X-O with Python: Unleashing the Digital Tic Tac Toe Fun

on June 02, 2020

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Anagram Solver Program From Scratch with Python - ThePygrammer

Anagram Solver in Python | Anagram solving is a puzzle some like, and some don't. If you have ever tried to solve an Anagram and been stuck for hours, don't worry. Sometimes even the best word unscramblers may get stumped by a specific puzzle or two. However, when you have a computer in hand, no puzzle can stop you. "How can I tell the computer to solve puzzles ?" you might ask. This is where Python can help you out. A quick and straightforward Anagram Solver in Python, built with some basic modules, can assist you in unscrambling words quickly and finding anagrams of any word. (Now, for anyone who doesn't know) What is an Anagram: An anagram is a word formed by rearranging the letters of a different word using all the original letters exactly once. Some anagram examples are binary: brainy or internet: renitent. Now, let's get into the Anagram Solver itself: The code is divided into two parts: The Word Creator and The Word Checker. What are these? Let me brea...

Python Blackjack Simulator (With Full Code)

A pack of 52 cards can be used to play a huge variety of games. One of them is the famous Blackjack where players use given cards to get as close to the value 21 as possible. Why not do the same in Python ? Blackjack Rules: The rules are simple, you start with two cards. You can draw more cards, called Hit or stop with your set of cards, called Stand . You need to have a higher value than your opponent but not exceed 21 . Here, Number Cards have their face value, Face Cards are worth 10 and Aces can be used as 1 or 11. The main things to note while recreating this in Python: Cards cannot repeat, i.e. a card drawn cannot be drawn again from the pack in the same round. If you or the computer exceeds 21, you/it go(es) bust and lose(s) the round automatically. If Aces are included in your hand, the program must be able to decide whether to use it as 11 or as 1. If the total exceeds 21 when Ace is used as 11, then its value must be changed to 1. Keeping these things in mind, a ...

A Beginner's Guide to Linear Regression with Scikit-Learn in Python

Introduction: In the exciting world of data science and machine learning, Linear Regression acts as a trusty compass, guiding us toward valuable insights hidden within our data. The best part? You don't need to be a math genius to understand it! Thanks to the user-friendly Scikit-Learn library in Python, Linear Regression becomes a breeze, even for beginners. Understanding Linear Regression: At its core, Linear Regression is like connecting the dots on a graph with the straightest line possible. Imagine having many data points and wanting to find that perfect line that fits them all. Once we've found that line, we can use it to predict new data points, like tomorrow's temperature based on today's weather. The Magic of Scikit-Learn: Implementing Linear Regression from scratch is challenging with concepts like Gradient Descent. However, Scikit-Learn simplifies it for us. All we need to do is call a few functions, and voilà, we have a powerful Linear Regression model at...

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