Python Code Streamliner
talkingtochatbots.com
4.00
(4)
600+
Conversations
Python coding assistant. Ask Python-related questions and PCS will answer. Request code and PCS will generate it. Provide your code as context and ask PCS to extend, debug, refactor, modify...
Python Code Streamliner Features
🤖
ChatGPT Bot
Custom bot powered by ChatGPT technology. May behave differently from regular ChatGPT.
👤
Created by talkingtochatbots.com
Third-party developer
Special Offers & Rewards
🎁 Refer & Earn!
Earn up to 100 💎! Refer friends, write reviews / blog articles, or simply login daily to earn gems.
Earn Gems Now🔥 Summer Promotion!
As a new user, you can enjoy off your first subscription. This offer is only available for a limited time!
Limited Time Offer! Expires in:
6
DAYS
22
HRS
19
MINS
24
SECS
Try These Prompts
Click on an example to start a conversation:
- 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?
Other AI models
Try out these other AI models to see if they work better for you
Download Our Extensions & Apps
Access ChatbotsPlace anytime, anywhere with our browser extensions and mobile apps.
Tips for Best Results
- 🔍 Be Specific: The more detail you provide in your prompts, the better Python Code Streamliner can understand and fulfill your request.
- 🌍 Provide Context: If your query relates to something specific, include that context. For example, instead of "Write a story," try "Write a story about a brave knight in a medieval setting."
- 🔄 Iterate and Refine: Don't expect the perfect answer on the first try. If the initial response isn't quite right, ask follow-up questions or rephrase your prompt to guide the AI.
- 🧪 Experiment: Try different types of questions and tasks to explore the capabilities of Python Code Streamliner.
- 💬 Use Clear Language: Avoid ambiguity and overly complex sentences for clearer communication.