Most complex tasks in Python can be broken down into simpler subtasks. Recursion helps to achieve this, hence making the code clean and neat. This tutorial will introduce recursion, the benefits of recursion, and how to use it in Python programming.

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Some problems are more naturally solved using recursion. For example, a sequence like the Fibonacci sequence has a recursive definition. Each number in the sequence is the sum of the previous two numbers in the sequence. Problems that require you to build or traverse a tree-like data structure can also be solved with recursion. Training yourself to think recursively will give you a powerful skill to attack such problems.

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Mocking is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. This tutorial will discuss in detail what mocking is and how to use it in Python applications.

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The importance of code readability is often underestimated, especially when programming in an environment which emphasizes user interface and user experience. While it’s true that it is extremely important to make a great app, it’s equally important to be able to change it in the future. With unreadable code, it can be much harder to solve bugs, with countless hours of trying to find the correct lines of code and to understand how it works.

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In this final article of the Android Architecture Components series, we’ll explore the Room persistence library, an excellent new resource that makes it a lot easier to work with databases in Android. It provides an abstraction layer over SQLite, compile-time checked SQL queries, and also asynchronous and observable queries. Room takes database operations on Android to another level.

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The CSV format is the most commonly used import and export format for databases and spreadsheets. This tutorial will give a detailed introduction to CSV’s and the modules and classes available for reading and writing data to CSV files. It will also cover a working example to show you how to read and write data to a CSV file in Python.

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The Java Virtual Machine, or JVM for short, supports multithreading. Any process you run on it is free to create a reasonable number of threads to perform multiple tasks asynchronously. However, writing code that can do so in an optimal and error-free manner can be extremely hard. Over the years, Java, other JVM languages, and a lot of third-party libraries have tried to come up with creative and elegant approaches to address this problem.

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