Discover Shahin-Mjz/Numpy_in_Python Open Source project

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Shahin-Mjz

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After completing this lab you will be able to: 1) Import and use the numpy library 2) Perform operations with numpy

Alamouti_Code

Implementation of the Alamouti code for the desired number of antennas in the receiver in MATLAB and Python

Python

Sets_in_Python

After completing this lab you will be able to: Work with sets in Python, including operations and logic operations.

Jupyter Notebook

Classes_and_Objects_in_Python

After completing this lab you will be able to: 1) Work with classes and objects 2) Identify and define attributes and methods

Jupyter Notebook

Conditions_in_Python

After completing this lab you will be able to: work with condition statements in Python, including operators, and branching.

Jupyter Notebook

Exception_Handling

After completing this lab you will be able to: 1) Understand exceptions 2) Handle the exceptions

Jupyter Notebook

Pandas_Python

Creation and manipulation of a Dataframe

Jupyter Notebook

markdown-portfolio

Git_and_GitHub_Final_Project

for Coursera

Shell

Dictionaries-in-Python

After completing this lab you will be able to: Work with and perform operations on dictionaries in Python

Jupyter Notebook

github-final-project

Shell

Learning_Linear_Regression

Jupyter Notebook

Working_with_different_file_formats_in_Python

Working with different file formats in Python

Jupyter Notebook

HTTP_and_Requests_in_Python

After completing this lab you will be able to: 1) Understand HTTP 2) Handle HTTP Requests

Jupyter Notebook

Loops_in_Python

After completing this lab you will be able to: work with the loop statements in Python, including for-loop and while-loop.

Jupyter Notebook

Write_and_Save_Files_in_Python

After completing this lab you will be able to: Write to files using Python libraries

Jupyter Notebook

Python-String-Operations

1) Work with Strings 2) Perform operations on String 3) Manipulate Strings using indexing and escape sequences

Jupyter Notebook

Functions_in_Python

After completing this lab you will be able to: 1) Understand functions and variables 2) Work with functions and variables

Jupyter Notebook

Learning_Python_Objectives

1) Write basic code in Python 2) Work with various types of data in Python 3) Convert the data from one type to another 4) Use expressions and variables to perform operations

Jupyter Notebook

Phase-Effect-vs-Magnitude-Effect-for-an-Image

Comparison between phase component effect vs. magnitude component effect for visual purposes, in humans, in a Grayscale image by Python in jupyter notebook.

Jupyter Notebook

Reading_Files_Python

After completing this lab you will be able to: Read text files using Python libraries

Jupyter Notebook

Lists_and_Tuples_in_Python

After completing this lab you will be able to: 1) Perform the basics tuple operations in Python, including indexing, slicing and sorting 2) Perform list operations in Python, including indexing, list manipulation, and copy/clone list.

Jupyter Notebook

Rake_Demodulation

A Simple Implementation of the Rake Demodulator.

Jupyter Notebook

Binary_ID3_Decision_Tree_for_Play_Tennis

Jupyter Notebook

Diffusion_Deep_Models_Report

A Technical Report for Image Generation Using Diffusion Models.

CPMs

𝐂𝐏𝐌𝐬: 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬-𝐏𝐡𝐚𝐬𝐞 𝐌𝐨𝐝𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬

Jupyter Notebook

Linear_Block_Code

Implementation of Encoder and Decoder for Linear Block Code C(5, 2).

Jupyter Notebook

Meggitt_Decoding_Algorithm

A Simple Implementation of Meggitt Decoding Algorithm.

Jupyter Notebook

LRCs_Report

A Technical Report About Locally Repairable Codes (LRCs).

ZJ_Stack

Implementation of the Suboptimum Decoding Algorithm, ZJ-Stack

Jupyter Notebook

Web-Development

Web-Development repo is a collection of beginner-friendly resources, files, and Notebooks to help you learn HTML, CSS, and Javascript. Includes tutorials and examples to get you started with creating web pages.

HTML

DDPM_EMNIST

Simple Exercise for Denoising Diffusion Probablistic Model (DDPM) on EMNIST Dataset

Jupyter Notebook

Conv_Encoder_Viterbi_Decoder

A Simple Implementation for Systematic Feedforward Encoder for Convolutional Code (2, 1, 3) and Decoder Based on Hard Decision Viterbi Algorithm (HDVA)

Jupyter Notebook

Clean-and-Analyze-Social-Media-Usage-Data-with-Python

Jupyter Notebook

Simple_Deep_Exercise

A simple exercise for Deep Learning and hyperparameter tuning on MNIST and CIFAR10 datasets

Jupyter Notebook

HyperSpectral_Remote_Sensing

Jupyter Notebook

AI-Engineering

Images

Transfer-Learning-by-Using-VGG19-Model

Jupyter Notebook

PCA

In this Notebook, we are going to view an explanation of Principal Component Analysis(PCA).

Jupyter Notebook

Linear-Algebra-using-Numpy

In this Repo, you will have the opportunity to remember some basic concepts about linear algebra and how to use them in Python.

Jupyter Notebook

Hash-Tables

In this Repo, we are going to practice the most important concepts related to the hash functions.

Jupyter Notebook

Data-Science-Challenge

Jupyter Notebook

Shahin-Mjz

My personal repository.

Shahin-Mjz/Numpy_in_Python

Shahin-Mjz

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