p3jitnath

# For JASMIN, using a Conda environment is recommended for package installations
# due to lack of sudo privileges for users.

# NOTE: Ensure both cudatoolkit/11.8 and cudnn/8.9.7.29 are loaded in your environment 
# If not refer to `z3.install-cuda-cudnn.sh` below.

# Create a new Conda virtual environment
conda create --name venv python=3.11
conda activate venv

p3jitnath

Step 0: SSH into SSH Gateway
$ ssh xyz123@shell3.doc.ic.ac.uk

======================================

Step 1: SSH into Remote Server
$ ssh xyz123@beech14.doc.ic.ac.uk

Step 2: Run Jupyter Lab in the remote environment
$ cd DIRECTORY

p3jitnath

git rev-list --objects --all |
  git cat-file --batch-check='%(objecttype) %(objectname) %(objectsize) %(rest)' |
  sed -n 's/^blob //p' |
  sort --numeric-sort --key=2 |
  cut -c 1-12,41- |
  $(command -v gnumfmt || echo numfmt) --field=2 --to=iec-i --suffix=B --padding=7 --round=nearest

p3jitnath

SUMMER INTERNSHIPS LIST
---

RESEARCH INTERNSHIPS FOR UNDERGRADUATE AND GRADUATE STUDENTS
INDIA:
1. SURGE, IIT Kanpur (http://surge.iitk.ac.in/)
2. SPARK, IIT Roorkee (http://spark.iitr.ac.in/)
3. IIT Bombay, Research Internship Program (http://www.iitb.ac.in/en/education/research-internship)(http://www.iitb.ac.in/newacadhome/toTraining.jsp)(https://www.it.iitb.ac.in/summerinternship2020/selectionlist.html)
4. IAS Bangalore, SRFP (https://www.ias.ac.in/) 
5. JNCASR, Bangalore, SRFP (http://www.jncasr.ac.in/fe/srfp.php)

p3jitnath

#!/usr/bin/env python
# Copyright: This document has been placed in the public domain.

"""
Taylor diagram (Taylor, 2001) implementation.
Based on Copin's implementation in Python.
Co-authors : "Yannick Copin <yannick.copin@laposte.net>" and "Pritthijit Nath <pritthijit.nath@icloud.com>"
"""

import numpy as NP

p3jitnath

# Loading ONNX Network and Creating resulting neural network expressions using Big M Encoding

import tensorflow as tf
import numpy as np
import pandas as pd

from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession

config = ConfigProto()

p3jitnath

libreoffice --headless --invisible --convert-to pdf *.ppt  

p3jitnath

sudo apt-get install libhdf4-dev
pip install pyhdf

p3jitnath

import json
from shapely.geometry import shape, Point

with open('./Data/nyc-neighborhoods.geo.json') as f:
    js = json.load(f)

def get_nbd(lng, lat):
    point = Point(lng, lat)    
    for feature in js['features']:
        polygon = shape(feature['geometry'])

p3jitnath

import torch
torch.manual_seed(42)

torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False

import numpy as np
np.random.seed(42)