Saransh-cpp

• UnROOT.jl -- ROOT I/O in pure Julia: https://github.com/JuliaHEP/UnROOT.jl
• UnROOT.jl JOSS paper: https://joss.theoj.org/papers/bab42b0c60f9dc7ef3b8d6460bc7229c
• HiggsCombine / HistFactory in pure Julia: https://github.com/JuliaHEP/LiteHF.jl
• Histogram + plotting in pure Julia: https://moelf.github.io/FHist.jl/dev/notebooks/makie_plotting/
• Benchmark: https://github.com/Moelf/UnROOT_RDataFrame_MiniBenchmark

more links:

• JuliaHEP organization: https://github.com/JuliaHEP/
• Julia official discourse HEP tag: https://discourse.julialang.org/tag/hep, also join us at #hep on official slack.
• mailist: https://groups.google.com/g/julia-hep

Saransh-cpp

import googleapiclient.discovery
from creds import API_KEY
import youtube_dl
import os


# API information
api_service_name = "youtube"
api_version = "v3"
DEVELOPER_KEY = API_KEY

Saransh-cpp

def predict(self, x):
    """
    Predicts the y values based on the training data.
    """
    prediction = []
    for single_data in x:
      prediction.append(
          1 if self.sigmoid(np.dot(single_data, self.W) + self.b) > 0.5 else 0
      )

Saransh-cpp

def fit(self):
    """
    Maths involved -
    z = w.T * x + b
    y_predicted = a = sigmoid(z)
    dw += (1 / m) * x * dz
    db += dz
    Gradient descent -
    w = w - α * dw
    b = b - α * db

Saransh-cpp

import numpy as np
from sklearn.datasets import load_digits


class LogisticRegression:
    """
    Logistic Regression using neural network.
    Parameters
    ==========
    X : np.ndarray

Saransh-cpp

def sigmoid(self, z):
    """
    Returns sigmoid value.
    """
    return 1 / (1 + np.exp(-z))

Saransh-cpp

Final Report for Google Summer of Code 2021

Python Battery Mathematical Modelling (PyBaMM), NumFOCUS

An Automated Twitter Bot to run PyBaMM Simulations

Details

Name: Saransh Chopra

Saransh-cpp

Final Report for Google Summer of Code 2021

Python Battery Mathematical Modelling (PyBaMM), NumFOCUS

An Automated Twitter Bot to run PyBaMM Simulations

Details

Name: Saransh Chopra

Saransh-cpp

from manim import *


class Intro(Scene):
    config.background_color = YELLOW_C

    def construct(self):

        g = NumberPlane()
        self.add_sound(