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python4beginner

Here are 19 public repositories matching this topic...

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.

  • UpdatedDec 9, 2022
  • Jupyter Notebook

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

  • UpdatedDec 9, 2022
  • Jupyter Notebook

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

  • UpdatedDec 9, 2022
  • Jupyter Notebook

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

  • UpdatedDec 9, 2022
  • Jupyter Notebook

The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.

  • UpdatedDec 9, 2022
  • Jupyter Notebook

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here …

  • UpdatedDec 9, 2022
  • Jupyter Notebook

Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and dateti…

  • UpdatedDec 9, 2022
  • Jupyter Notebook

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

  • UpdatedDec 9, 2022
  • Jupyter Notebook

This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.

  • UpdatedMar 6, 2024
  • Jupyter Notebook

Python could learn most effectively by using practice examples. The repository includes examples of fundamental Python ideas. It is encouraged you use the examples as references and test the concepts on your own.

  • UpdatedApr 18, 2023
  • Python

Non-Safe Keylogger which is able to control itself without being touched

  • UpdatedAug 25, 2020
  • TeX

Based off of lessons from Dr. Chuck Severance's Py4e course on Coursera. Repo will be updated as I progress through the specialization.

  • UpdatedOct 9, 2023
  • Python
  • UpdatedJan 23, 2017
  • Python

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