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The method for programmatic access to a time series depends on the source of the time series. Here are some common methods:

1. API: Many websites and services offer APIs that can be used to access time series data programmatically. Examples include the Yahoo Finance API for stock prices and the Weather Underground API for weather data.

2. Libraries: Programming languages like Python have libraries specifically designed for working with time series data, such as Pandas and TimeSeries.

3. Web scraping: Sometimes time series data can be scraped from websites using tools like Beautiful Soup or Scrapy, although this requires more coding and may not be as reliable or efficient as other methods.

4. File format: If the time series data is available in a file format like CSV, TSV, or JSON, it can be accessed programmatically by reading the file directly.

5. Database: If the time series data is stored in a database, it can be accessed programmatically using SQL or other database query languages.