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- 2.1 File processing - XML files
- = 2.1 File processing - XML files == XML processing in Python Python is commonly used to process various types of data. Per... plementation of the Document Object Model (DOM). Using the DOM, the approach to an XML document is slig... e above modules, analyzing a simple XML document using this module requires more work. In this course,
- 4.1 Logging in Python
- eful to you or other programmers. An example of using your own logs can be any Internet system. When u... t of the course, you'll learn how to create logs using the logging module. See what this module offers and start using it to become a better programmer. == The Logger... gged. It's worth mentioning that loggers created using the name argument have the ''NOTSET'' level set
- 1.1 SQLite
- oftware? == How to work with an SQLite database using Python You've probably already used the standard... at will allow you to create amazing applications using SQLite databases. Can you guess what it’s called... : The sqlite3 module has been available in Python since version 2.5. == sqlite3 – creating a database As we already said, the SQLite database is a single file, which is saved on your computer. Each fi
- 5.1 The configparser module
- tion with these services requires authentication using data such as a login and password, or simply an ... ailable in the Python standard library. To start using it, we need to import the appropriate module: <... In a moment, you'll learn how to read this data using the ''configparser'' module. **NOTE**: The whit... ing and end of keys and values is removed. == Parsing the configuration file Parsing the configuration
- 3.1 The CSV module in Python
- . However, for commercial projects, we recommend using an excellent library called ''pandas''. We encou... writing data in CSV format. Reading data is done using the ''reader'' object, while writing is done using the ''writer'' object. First, we'll take a closer look at reading data using the reader object. The ''reader'' function retu