python-tutorial-github

There are 19 repositories under python-tutorial-github topic.

  • milaan9/91_Python_Mini_Projects

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  • milaan9/01_Python_Introduction

    Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

    Language:Jupyter Notebook34332268

  • milaan9/90_Python_Examples

    The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.

    Language:Jupyter Notebook30421232

  • milaan9/06_Python_Object_Class

    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.

    Language:Jupyter Notebook30320251

  • milaan9/07_Python_Advanced_Topics

    You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

    Language:Jupyter Notebook30221242

  • milaan9/Python_Decision_Tree_and_Random_Forest

    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.

    Language:Jupyter Notebook26420201

  • milaan9/10_Python_Pandas_Module

    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.

    Language:Jupyter Notebook24510228

  • milaan9/02_Python_Datatypes

    Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

    Language:Jupyter Notebook24321238

  • milaan9/09_Python_NumPy_Module

    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.

    Language:Jupyter Notebook23710225

  • milaan9/04_Python_Functions

    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.

    Language:Jupyter Notebook23510227

  • milaan9/03_Python_Flow_Control

    Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements

    Language:Jupyter Notebook22910225

  • milaan9/05_Python_Files

    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 is also easy and short. Python treats files differently as text or binary and this is important.

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  • milaan9/08_Python_Date_Time_Module

    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 datetime modules.

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  • milaan9/11_Python_Matplotlib_Module

    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 huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

    Language:Jupyter Notebook22610205

  • milaan9/DataScience_Interview_Questions

    My Solutions to 120 commonly asked data science interview questions.

    Language:Jupyter Notebook22111181

  • milaan9/92_Python_Games

    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.

    Language:Jupyter Notebook19310176

  • thewickedkarma/Python-tutorial

    Clear your python Basics here.

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  • programmingwithmohammed/AdvancedPython2022

    This repository is all about advanced python tutorial. It covers all the python advanced topics. It is very important for a developer to learn all the advanced python concept.

    Language:Python1100

  • UsamaSarwar/python-tutorials

    Python Tutorials

    Language:Python110