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Вивчайте Challenge: Earnings Forecaster | Optimizing Freelance Business with Python
Python for Freelancers

bookChallenge: Earnings Forecaster

Forecasting your freelance earnings is an essential practice for financial planning and maintaining business stability. By leveraging Python, you can automate this process and quickly identify potential shortfalls before they become issues. In this chapter, you will build a script that takes hardcoded data for your past monthly earnings and upcoming project payments, calculates projected totals for each month in the next quarter, and displays a summary table. You will also highlight any months where projected earnings fall below a threshold you set, helping you proactively address lean periods.

Завдання

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Complete the script to forecast your freelance earnings for the next quarter using the provided hardcoded data.

  • Calculate the total projected earnings for each upcoming month based on the values in upcoming_projects;
  • Create a pandas DataFrame named df with columns Month and Projected Earnings;
  • Add a column Below Threshold to flag months where projected earnings are less than the value of threshold;
  • Print the DataFrame as a string with no index using print(df.to_string(index=False)).

Рішення

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Секція 3. Розділ 7
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Suggested prompts:

Can you show me how to structure the hardcoded data for past earnings and upcoming payments?

How do I set the earnings threshold in the script?

Can you explain how to highlight months with low projected earnings?

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bookChallenge: Earnings Forecaster

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Forecasting your freelance earnings is an essential practice for financial planning and maintaining business stability. By leveraging Python, you can automate this process and quickly identify potential shortfalls before they become issues. In this chapter, you will build a script that takes hardcoded data for your past monthly earnings and upcoming project payments, calculates projected totals for each month in the next quarter, and displays a summary table. You will also highlight any months where projected earnings fall below a threshold you set, helping you proactively address lean periods.

Завдання

Swipe to start coding

Complete the script to forecast your freelance earnings for the next quarter using the provided hardcoded data.

  • Calculate the total projected earnings for each upcoming month based on the values in upcoming_projects;
  • Create a pandas DataFrame named df with columns Month and Projected Earnings;
  • Add a column Below Threshold to flag months where projected earnings are less than the value of threshold;
  • Print the DataFrame as a string with no index using print(df.to_string(index=False)).

Рішення

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Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Секція 3. Розділ 7
single

single

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