The forward pass on the sources

learn_this.py

for i,url in enumerate(df["links"][last_index:]): # Looping over the links
        webbrowser.open(url) # Opens each link on the default browser 
        start_session = time.time() 
        date = get_date()
        df["date"][i] = date # Stores the date
        att_level = float(input("Input the attention level for this input (0-10):")) # Requests a score of attention 
        df["attention_level"][i] = att_level
        next_inp = input("Press enter to go to next link or q to quit training for now") # To go to the next link
        if next_inp == "q":
            df["last_index"] = i
            end_session = time.time()
            s_time = np.round(end_session - start_session,2)
            df["session_time"][i] = s_time
            s_score = float(input("Give a score to your performance in this session (0-10):"))
            df["session_score"][i] = s_score
            break
        end_session = time.time()
        s_time = np.round(end_session - start_session,2) # Records the time of that session
        df["session_time"][i] = s_time
        s_score = float(input("Give a score to your performance in this session (0-10):")) # Requests the score for performance
        df["session_score"][i] = s_score

    session_df = df.copy()
    date_file = get_date(save_file=True)
    session_df.to_csv(".\\sessions\\session_{}.csv".format(date_file)) # Stores the .csv for that session on the sessions directory

    duolingo = input("Do you want to do a quick duolingo session to finish things off? (y/n)") # Finishes prompting the user to do a quick duolingo session to wrap things up  
    if duolingo=="y":
        webbrowser.open("www.duolingo.com")