vmetnev

import pandas as pd

import win32com.client as win32

# Connect to the running instance of Excel
excel = win32.Dispatch("Excel.Application")
workbook = excel.Workbooks("Ex.xlsx")  # Name of your workbook
sheet = workbook.Sheets("Q1")  # Name of your sheet

# Write data to a specific cell

vmetnev

=BDP(A6;"INTERVAL_HIGH";"start_date_override";"2024-12-31";"end_date_override";"2025-04-22")

=HYPERLINK("bbg://securities/AAPL%20US%20Equity/DES"; "Open AAPL DES")

=HYPERLINK("bbg://screens//NI"; "OPEN Semiconductors")

vmetnev

Телемедицина для продукта - медицинского, любого в принципе как в HIMS US EQUITY

нужно сделать next.js from scratch в traversy.com

chrome + own server note holder

vmetnev

# python -m pip install --index-url=https://blpapi.bloomberg.com/repository/releases/python/simple/ blpapi
# python -m pip install pywin32
# pip install pypiwin32
# pip install win32com.client


import win32com.client as win32

# Connect to the running instance of Excel
excel = win32.Dispatch("Excel.Application")

vmetnev

# python3 -m pip install blp
# https://pypi.org/project/blp/
# https://matthewgilbert.github.io/blp/quickstart.html

import datetime
import json

import pandas

from blp import blp

vmetnev

// Object to new mongoose schema and to save data in mongoDB from provided instance of an object

const mongoose = require("mongoose");
const Schema = mongoose.Schema;
mongoose.set("strictQuery", false);

const database = {
    uri: "mongodb://127.0.0.1:27017/",
    name: "dayalayer",
    user: "",

vmetnev

getData()
async function getData() {
    let url = "http://localhost:3001/test"
    let resp = await fetch(url, {
        method: "POST",
        headers: {
            "content-type": "application/json",           
        },
        body: JSON.stringify({
            name: "Vlad455",

vmetnev

mongooseConnect();

async function listCollections() {
  let db = mongoose.connection.db;
  const collections = await db.listCollections().toArray();
  collections.forEach((collection) => console.log(collection.name));

  db = mongoose.connection.db;
  await db.collection("popcorn").rename("popcorn1").catch(error=>console.log(error.codeName))

vmetnev

// first

import pkg from 'rss-to-json';
const {parse} = pkg;


rss()

async function rss () {

vmetnev

const mongoose = require("mongoose");
const {
    Schema
} = mongoose;

const TickerSchema =
    new Schema({
        ticker: String,
        date: String,
        data: Schema.Types.Mixed,