Python Code Streamliner
Provides direct code solutions in Python. Specializes in translating ideas into efficient Python scripts, optimizing code, and debugging with precision. Ideal for quick, practical coding assistance.
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Author: talkingtochatbots.com
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Last Updated:
Aug 25, 2024
Share Recipient: marketplace
Tools used: dalle, browser, python
Additional Details
ID: 115962
Slug: python-code-streamliner-1
Created At: Feb 22, 2024
Updated At: Nov 21, 2024
Prompt Starters ๐ก
- Add ReduceLROnPlateau and Early Stopping callbacks to this training: hist = model.fit(X_train, y_train, validation_split=0.1, epochs=50, batch_size = 35)
- Write a function that simulates a stochastic oscillator for algorithmic trading
- Define a daily date range spanning 20 years. Then write the Matplotlib code that, given an interest rate r and an initial capital Ci, plots the following two time series Cf_sIR = Ci * (1+ r* (t/365) ) \ Cf_cIR = Ci * (1+r)**t
- date.today() returns 2024-02-20. Write the code that returns a string with '20/2/2024' in this case
- Add ReduceLROnPlateau and Early Stopping callbacks to this training: hist = model.fit(X_train, y_train, validation_split=0.1, epochs=50, batch_size = 35)
- Create a function that calculates a one-hot encoded matrix given an input data frame and a list with the columns we want to one-hot encode. Then create a function that calculates the Euclidean distance between any two items in the original data frame (identified by their index label), based on the one-hot encoded values obtained from the first function
- Given a Pandas dataframe markowitz_rets, with expected daily returns for a given year (index: date, columns: assets), the covariance matrix (mat_cov), and a risk free rate (rfr), write a function (using a library such as scipy) that optimizes the Sharpe ratio of a portfolio, returning weights, expected returns, expected volatility (standard deviation) and Sharpe ratio
- Who is your author?
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