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.

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.

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

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.

05_python_files

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.

07_python_advanced_topics

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

08_python_date_time_module

09_python_numpy_module

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.

ali-commits

ali-commits.github.io

covid19-dataset

the complete historical cleaned COVID19 data set

data_analysis

denvercoder1

Profile README for DenverCoder1

dotfiles

factors-that-affected-the-airbnb-price-in-singapore

Project for Programming for Data Science WQD7001, University Malaya

heartdiseasepredectionswebsite

js-tutorial

machine_learning_algorithms_from_scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

ml-facemaskdetection

detect face masks using openCV and tensorFlow

ml-fingerscounter

Count the number of fingers in real time

ml-heartdiseaseriskpredection

ml-text-documents-classification

newsclassificationwebsite

News Classification website using python+flask

newsclassificationwebsite2.0

python_exercises

python_imgautofill

autofill form (image format) with a list of text

rp

zsh-abbr

This zsh plugin provides functionality similar to Vim's abbreviation expansion.