Python is an object-oriented, high-level programming language developed by Guido van Rossum. It first appeared in 1991. Designed to be both easy and fun, the name “Python” is a greeting to the British comedy group Monty Python. Python has gained fame as an easy-to-learn language that beginners can use to programming. Over time, it has replaced Java, the most used startup language, because it eliminates much of the complexity for the user, allowing beginners to fully understand programming concepts rather than small details.
Python is used for server-side web development, software development, math, and system commands. It is popular for Rapid Application Development and as a scripting or adhesive language to link existing components due to its high level of built-in data structures, dynamic typing and dynamic linking. Thanks to the emphasis on easy-to-learn syntax and readability, Python reduces program maintenance costs. In addition, Python's module and package support facilitates the reuse of modular programs and code. Python is an open-source community language, so a large number of independent programmers constantly create libraries and new functions for it.
In a professional sense, Python backend is great for web development, data analysis, artificial intelligence, and scientific computing. Developers also use Python to develop different tools, games, and desktop applications.
Python, a dynamically typed language, offers a flexible use as it eliminates the strict rules for setting up features and offers more flexibility to solve problems with a wide range of methods. It also allows programs to be compiled and run up to a problem area, since it uses run type control instead of compile-time checking.
If we look at the negative aspects of Python, Python is not easy to maintain. Since Python is a dynamically typed language, a command can have multiple meanings depending on the context. It can also become increasingly difficult to maintain a Python application, especially bugs, as it increases in size and complexity. Users will need experience to design code that makes maintenance easier or write unit tests.
Speed is another weakness of Python. Because it is dynamically typed, its flexibility requires a serious amount of referencing to achieve accurate recognition, which slows down performance. This situation can be alleviated by using an alternative Python implementation (e.g., PyPy).
AI researchers are Python fans. Google TensorFlow and other libraries (scikit-learn, Keras) provide a foundation for AI development because of the usability and flexibility it offers Python users. These libraries and their availability are important because they allow developers to focus on growing and building.
With the Data Science Bootcamps of Istanbul Data Science Academy, which is part of the Komtaş Ecosystem, you can easily learn Python and step into the digital world.
Yapay zeka, son yıllarda teknolojik ilerlemenin en önemli unsurlarından biri haline geldi. Özellikle büyük teknoloji şirketleri, büyük dil modelleri (LLM) geliştirerek pazarda söz sahibi olmaya çalışıyor.
Latent Dirichlet Allocation (LDA) is a topic modeling technique that allows the discovery of hidden topic structures on large amounts of text data.
Predictive analysis, a type or extension of predictive analysis, is used to recommend or predict certain actions when certain information states are reached or conditions are met.
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