Merge branch 'master' into master

Author: NamanJain1902

.all-contributorsrc

@@ -119,8 +119,62 @@
       "contributions": [
         "code"
       ]
+    },
+    {
+      "login": "Aravindha1234u",
+      "name": "T3cH_W1z4rD",
+      "avatar_url": "https://avatars0.githubusercontent.com/u/52521300?v=4",
+      "profile": "https://aravindha1234u.github.io",
+      "contributions": [
+        "code"
+      ]
+    },
+    {
+      "login": "Meghana-12",
+      "name": "Meghana Varanasi",
+      "avatar_url": "https://avatars0.githubusercontent.com/u/44519203?v=4",
+      "profile": "https://github.com/Meghana-12",
+      "contributions": [
+        "code"
+      ]
+    },
+    {
+      "login": "mendoza",
+      "name": "David Mendoza",
+      "avatar_url": "https://avatars1.githubusercontent.com/u/30415552?v=4",
+      "profile": "https://github.com/mendoza",
+      "contributions": [
+        "code"
+      ]
+    },
+    {
+      "login": "dkarmy12",
+      "name": "dkarmy12",
+      "avatar_url": "https://avatars1.githubusercontent.com/u/55491427?v=4",
+      "profile": "https://github.com/dkarmy12",
+      "contributions": [
+        "code"
+      ]
+    },
+    {
+      "login": "madhavmehndiratta",
+      "name": "Madhav Mehndiratta",
+      "avatar_url": "https://avatars3.githubusercontent.com/u/43489174?v=4",
+      "profile": "http://madhavmehndiratta.me",
+      "contributions": [
+        "code"
+      ]
+    },
+    {
+      "login": "yogeshwaran01",
+      "name": "YOGESHWARAN R",
+      "avatar_url": "https://avatars1.githubusercontent.com/u/66836092?v=4",
+      "profile": "http://www.linkedin.com/in/yogeshwaran01",
+      "contributions": [
+        "code"
+      ]
     }
-  ,
+  ],
   "contributorsPerLine": 7,
   "projectName": "Python_and_the_Web",
   "projectOwner": "Python-World",

README.md

@@ -6,7 +6,7 @@
 [![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
 
 <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
-[![All Contributors](https://img.shields.io/badge/all_contributors-12-orange.svg?style=flat-square)](#contributors-)
+[![All Contributors](https://img.shields.io/badge/all_contributors-18-orange.svg?style=flat-square)](#contributors-)
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 ![Issues](https://img.shields.io/github/issues/Python-World/Python_and_the_Web)
@@ -108,6 +108,15 @@ We now have a section for miscellaneous scripts as well.
     <td align="center"><a href="https://github.com/tauseefmohammed2"><img src="https://avatars2.githubusercontent.com/u/35351464?v=4" width="100px;" alt=""/><br /><sub><b>tauseefmohammed2</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=tauseefmohammed2" title="Code">💻</a></td>
     <td align="center"><a href="https://ameyanrd.github.io/"><img src="https://avatars1.githubusercontent.com/u/42608371?v=4" width="100px;" alt=""/><br /><sub><b>Ameya Deshpande</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=ameyanrd" title="Code">💻</a></td>
     <td align="center"><a href="https://github.com/nj1902"><img src="https://user-images.githubusercontent.com/56442920/94884868-4dac4480-048c-11eb-9c56-7aaf87ba3597.jpeg" width="200px;" alt=""/><br /><sub><b>Naman Jain</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=nj1902" title="Code">💻</a></td>
+=======
+    <td align="center"><a href="https://aravindha1234u.github.io"><img src="https://avatars0.githubusercontent.com/u/52521300?v=4" width="100px;" alt=""/><br /><sub><b>T3cH_W1z4rD</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=Aravindha1234u" title="Code">💻</a></td>
+    <td align="center"><a href="https://github.com/Meghana-12"><img src="https://avatars0.githubusercontent.com/u/44519203?v=4" width="100px;" alt=""/><br /><sub><b>Meghana Varanasi</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=Meghana-12" title="Code">💻</a></td>
+  </tr>
+  <tr>
+    <td align="center"><a href="https://github.com/mendoza"><img src="https://avatars1.githubusercontent.com/u/30415552?v=4" width="100px;" alt=""/><br /><sub><b>David Mendoza</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=mendoza" title="Code">💻</a></td>
+    <td align="center"><a href="https://github.com/dkarmy12"><img src="https://avatars1.githubusercontent.com/u/55491427?v=4" width="100px;" alt=""/><br /><sub><b>dkarmy12</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=dkarmy12" title="Code">💻</a></td>
+    <td align="center"><a href="http://madhavmehndiratta.me"><img src="https://avatars3.githubusercontent.com/u/43489174?v=4" width="100px;" alt=""/><br /><sub><b>Madhav Mehndiratta</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=madhavmehndiratta" title="Code">💻</a></td>
+    <td align="center"><a href="http://www.linkedin.com/in/yogeshwaran01"><img src="https://avatars1.githubusercontent.com/u/66836092?v=4" width="100px;" alt=""/><br /><sub><b>YOGESHWARAN R</b></sub></a><br /><a href="https://github.com/Python-World/Python_and_the_Web/commits?author=yogeshwaran01" title="Code">💻</a></td>
   </tr>
 </table>
 

Scripts/Miscellaneous/Activation_Functions_from_scratch_in_Keras/README.md

@@ -0,0 +1,43 @@
+# ActivationFunctions using Custom Layers in Keras
+Activation functions are an important are of deep learning research .Many new activation functions are being developed ,these include *bio-inspired* activtions, *purely mathematical activation functions* including others . Despite, such advancements we usually find ourselves using RELU and LeakyRELU commonly without using/thinking about others.
+In the following notebooks I showcase how easy/difficult it is to port an activation function using **Custom Layers in Keras and Tensorflow!**
+
+
+Link to main notebook --> [Activations.ipynb](https://github.com/Agrover112/ActivationFunctions/blob/master/src/Activation-Functions(GELU%2CSELU%2CELU%2CLeakyReLU%2CPRELU).ipynb)
+
+## Requirements
+Google Colab
+
+### Implemented activations:
+ 
+- LeakyReLu
+- ParametricReLu
+- Elu
+- SElu
+- GELU
+
+
+
+### Structure
+ ```  
+src
+|
+|-- Activations.ipynb
+|-- utils
+      |-- Utils.ipynb
+      |-- utils.py
+      
+references
+|
+|--Ref1
+|--Refn
+
+```
+
+###  Usage
+ ``` 
+ git clone  https://github.com/Agrover112/ActivationFunctions.git
+```
+
+### References
+- [References:D](https://github.com/Agrover112/ActivationFunctions/tree/master/references)

Scripts/Miscellaneous/Activation_Functions_from_scratch_in_Keras/src/Activation-Functions(GELU,SELU,ELU,LeakyReLU,PRELU).ipynb

@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Utils","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyMYHshcegvtTBQwBygO/eoj"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"_ImvYera1GfS","colab_type":"code","colab":{},"executionInfo":{"status":"ok","timestamp":1595963420315,"user_tz":-330,"elapsed":2543,"user":{"displayName":"Agrover112","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiMJACGAX3kCfRjB2hgzdG8w9zL1lAAKbPPMz0qLA=s64","userId":"09574164879083471944"}}},"source":["import tensorflow as tf\n","import numpy as np\n","import matplotlib.pyplot as plt\n","def load_data():\n","    (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()\n","    x_train = np.reshape(x_train, (x_train.shape[0], 784))/255.\n","    x_test = np.reshape(x_test, (x_test.shape[0], 784))/255.\n","    y_train = tf.keras.utils.to_categorical(y_train)\n","    y_test = tf.keras.utils.to_categorical(y_test)\n","    return (x_train, y_train), (x_test, y_test)\n","\n","def plot_random_examples(x, y, p=None):\n","    indices = np.random.choice(range(0, x.shape[0]), 10)\n","    y = np.argmax(y, axis=1)\n","    if p is None:\n","        p = y\n","    plt.figure(figsize=(10, 5))\n","    for i, index in enumerate(indices):\n","        plt.subplot(2, 5, i+1)\n","        plt.imshow(x[index].reshape((28, 28)), cmap='binary')\n","        plt.xticks([])\n","        plt.yticks([])\n","        if y[index] == p[index]:\n","            col = 'g'\n","        else:\n","            col = 'r'\n","        plt.xlabel(str(p[index]), color=col)\n","    return plt\n","\n","def plot_results(history):\n","    history = history.history\n","    plt.figure(figsize=(12, 4))\n","    epochs = len(history['val_loss'])\n","    plt.subplot(1, 2, 1)\n","    plt.plot(range(epochs), history['val_loss'], label='Val Loss')\n","    plt.plot(range(epochs), history['loss'], label='Train Loss')\n","    plt.xticks(list(range(epochs)))\n","    plt.xlabel('Epochs')\n","    plt.ylabel('Loss')\n","    plt.legend()\n","    plt.subplot(1, 2, 2)\n","    plt.plot(range(epochs), history['val_accuracy'], label='Val Acc')\n","    plt.plot(range(epochs), history['accuracy'], label='Acc')\n","    plt.xticks(list(range(epochs)))\n","    plt.xlabel('Epochs')\n","    plt.ylabel('Accuracy')\n","    plt.legend()\n","    return plt"],"execution_count":1,"outputs":[]},{"cell_type":"code","metadata":{"id":"iRwkOk0p1SPt","colab_type":"code","colab":{}},"source":[""],"execution_count":null,"outputs":[]}]}

Scripts/Miscellaneous/Activation_Functions_from_scratch_in_Keras/src/utils/Utils

@@ -0,0 +1,49 @@
+import tensorflow as tf
+import numpy as np
+import matplotlib.pyplot as plt  # loading dependencies
+
+def load_data():  # method for loading mnist dataset
+    (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
+    x_train = np.reshape(x_train, (x_train.shape[0], 784))/255.
+    x_test = np.reshape(x_test, (x_test.shape[0], 784))/255.  # normalization of images
+    y_train = tf.keras.utils.to_categorical(y_train)  # converting to categorical fearures
+    y_test = tf.keras.utils.to_categorical(y_test)
+    return (x_train, y_train), (x_test, y_test)
+
+def plot_random_examples(x, y, p=None):  # function that samples randomly and plots images
+    indices = np.random.choice(range(0, x.shape[0]), 10)
+    y = np.argmax(y, axis=1)
+    if p is None:
+        p = y
+    plt.figure(figsize=(10, 5))
+    for i, index in enumerate(indices):                                   
+        plt.subplot(2, 5, i+1)
+        plt.imshow(x[index].reshape((28, 28)), cmap='binary')
+        plt.xticks([])
+        plt.yticks([])
+        if y[index] == p[index]:
+            col = 'g'
+        else:
+            col = 'r'
+        plt.xlabel(str(p[index]), color=col)
+    return plt
+
+def plot_results(history):  # function that accepts history object from keras and plots the Loss,Accuracy,Validation Accuracy
+    history = history.history
+    plt.figure(figsize=(12, 4))
+    epochs = len(history['val_loss'])
+    plt.subplot(1, 2, 1)
+    plt.plot(range(epochs), history['val_loss'], label='Val Loss')
+    plt.plot(range(epochs), history['loss'], label='Train Loss')
+    plt.xticks(list(range(epochs)))
+    plt.xlabel('Epochs')
+    plt.ylabel('Loss')
+    plt.legend()
+    plt.subplot(1, 2, 2)
+    plt.plot(range(epochs), history['val_accuracy'], label='Val Acc')
+    plt.plot(range(epochs), history['accuracy'], label='Acc')
+    plt.xticks(list(range(epochs)))
+    plt.xlabel('Epochs')
+    plt.ylabel('Accuracy')
+    plt.legend()
+    return plt

Scripts/Miscellaneous/Activation_Functions_from_scratch_in_Keras/src/utils/utils.py

@@ -0,0 +1,24 @@
+# COVID19 Dashboard using Streamlit
+This is app built with streamlit framework to display live covid19 data across the world with help of api.covid19api.com as data source.
+
+### Prerequisites
+* streamlit
+* requests
+* pytablewriter
+* datetime
+
+or
+
+`pip3 install requirements.txt`
+
+### How to run the script
+
+`streamlit run covid19.py`
+
+Visit Local URL: http://localhost:8501 to view the app.
+
+### Screenshot
+![Screenshot](https://i.imgur.com/zJQhxTq.png)
+
+## *Author Name*
+[Aravindha Hariharan M](https://aravindha1234u.github.io)

Scripts/Miscellaneous/Covidin Dashboard/README.md

@@ -0,0 +1,33 @@
+import streamlit as st
+import requests
+from pytablewriter import MarkdownTableWriter
+from datetime import datetime
+
+response = requests.get('https://api.covid19api.com/summary') # Get Request to pull down data from Covid19 data source
+data = response.json()
+
+st.markdown(MarkdownTableWriter(
+    table_name="Covid19 Worldwide Data",
+    headers=["Total Confirmed", "Total Recovered", "Total Deaths"],
+    value_matrix=[[data['Global']['TotalConfirmed'], data['Global']['TotalRecovered'], data['Global']['TotalDeaths']]],
+)) # To form a Table for Live World data stat 
+
+st.write("")
+st.write("**Last Updated Time: {} **".format(datetime.strptime(data['Date'][:-1],"%Y-%m-%dT%H:%M:%S").strftime("%b %d %Y %H:%M:%S")))
+# To Display the date & time of Last updated data of Covid19 Reports
+
+st.write("")
+country = st.text_input("Enter Country Name:","") # Input to filter according to country name
+
+table_data = [ [i['Country'],i['TotalConfirmed'],i['TotalRecovered'],i['TotalDeaths']] for i in data['Countries'] ]
+
+if country != "":
+    table_data=[]
+    table_data = [ [i['Country'],i['TotalConfirmed'],i['TotalRecovered'],i['TotalDeaths']] for i in data['Countries'] if i['Country'].lower() == country.lower() ]
+# If country name is not entered then display all Country
+
+st.markdown(MarkdownTableWriter(
+    table_name="CountryWise Data",
+    headers=["Country Name", "Confirmed", "Recovered", "Deaths"],
+    value_matrix=table_data,
+)) # table to display countrywise count reports

Scripts/Miscellaneous/Covidin Dashboard/covid19.py

@@ -0,0 +1,3 @@
+streamlit
+requests
+pytablewriter

Scripts/Miscellaneous/Covidin Dashboard/requirements.txt

@@ -0,0 +1,34 @@
+# Instagram Analyzer
+
+This Scripts analyze the Instagram user data like Followers, Followings and Posts with Matplotlib
+bar charts.
+
+## Prerequisites
+
+Install the required packages
+
+`pip install -r requirements.txt`
+
+## How to use this script?
+
+1.Make a text file of list of Instagram username. For example
+   `user.txt` contains
+
+```
+github
+pubg
+facebook
+iplt20
+chennaiipl
+google
+```
+
+2.Run the script
+
+```python instagram_analyzer.py user.txt```
+
+## Screenshot
+![screenshot](sample.png)
+## Author
+
+[YOGESHWARAN R]("https://github.com/yogeshwaran01/)