Skip to content
View Phyllis0314021805414's full-sized avatar

Block or report Phyllis0314021805414

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. 08_Python_Date_Time_Module 08_Python_Date_Time_Module Public

    Forked from 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 bu…

    Jupyter Notebook 1

  2. 01_Python_Introduction 01_Python_Introduction Public

    Forked from 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.

    Jupyter Notebook 1

  3. Python4DataScience Python4DataScience Public

    Forked from milaan9/Machine_Learning_Algorithms_from_Scratch

    Jupyter Notebook

  4. milaan9 milaan9 Public

    Forked from milaan9/milaan9

  5. 03_Python_Flow_Control 03_Python_Flow_Control Public

    Forked from 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

    Jupyter Notebook

  6. 04_Python_Functions 04_Python_Functions Public

    Forked from 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…

    Jupyter Notebook