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Introduction to Python
Published in Vasudevan Lakshminarayanan, Hassen Ghalila, Ahmed Ammar, L. Srinivasa Varadharajan, Understanding Optics with Python, 2018
Vasudevan Lakshminarayanan, Hassen Ghalila, Ahmed Ammar, L. Srinivasa Varadharajan
Python was developed in 1990 by Guido van Rossum (1956–). Like many other scripting languages, it is free, even for commercial purposes, and can be run on practically any modern computer. A Python program is compiled automatically by the interpreter into a platform-independent bytecode that is then interpreted. A large number of specialized modules or applications are written in Python. Modules in Python are simply Python files with the “.py” extension that implement a set of functions or instructions. Modules can be imported from or into other modules, thereby facilitating the development of complex software. The full list of built-in modules in the Python standard library can be found at https://docs.python.org/3/library/. In addition to the standard library, there is a growing collection of several thousand user contributions that vary in complexity from individual programs and modules to packages and entire application development frameworks, which are available from the Python Package Index (https://pypi.python.org/pypi).
Software and Hardware for EEG for Capturing and Analysis
Published in Narayan Panigrahi, Saraju P. Mohanty, Brain Computer Interface, 2022
Narayan Panigrahi, Saraju P. Mohanty
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985–1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). Python's design philosophy emphasizes code readability with its notable use of significant white space. Its language constructs and object-oriented approach aims to help programmers write clear, logical code for small and large-scale projects (Kuhlman 2012). Van Rossum shouldered sole responsibility for the project until July 2018, but now shares his leadership as a member of a five-person steering council. Figure 4.5 shows a Python terminal window.
Web Application Frameworks
Published in Akshi Kumar, Web Technology, 2018
To create a project using Django, we need to install the following software: Python: Django is written in 100% pure Python code and the latest Django version requires Python 2.6.5 or higher. Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python is available on a wide variety of platforms, including Linux and Mac OS X. The most up-to-date and current source code, binaries, documentation, news is available on the official Python web site (www.python.org).Django: Django is a high-level Python web framework that enables rapid development of secure and maintainable web sites. It follows the “batteries included” philosophy and provides almost everything developers might want to do “out of the box.” Django design principles include: loose coupling, less coding, don’t repeat yourself, fast development, and clean design. The latest version of Django can be downloaded from www.djangoproject.com/download.Database system: Django supports both SQL and NoSQL databases, including PostgreSQL, MySQL, SQLite, Oracle, MongoDB, and GoogleAppEngine Datastore.Web server: Django comes with a lightweight web server for developing and testing applications. This server is pre-configured to work with Django and, more importantly, it restarts whenever you modify the code. However, Django also supports Apache and other popular web servers, such as Lighttpd.
What drives MLOps adoption? An analysis using the TOE framework
Published in Journal of Decision Systems, 2023
Sibanjan Debeeprasad Das, Pradip Kumar Bala
Fifty per cent of the participants chose Python as their preferred ML platform for building ML pipelines (Figure 5). Python is an open-source, easy-to-use and syntax-friendly programming language. It provides access to some great libraries for creating AI/ML models. Being an open-source and user-friendly platform, there is an ever-evolving contribution of various ML libraries from well-known researchers and practitioners in AI/ML. This makes it one of the fastest-growing programming languages in developing machine learning applications (Nagpal & Gabrani, 2019). The second in the list is that 40% of the respondents use Microsoft Azure ML, an Enterprise ML platform from Microsoft. Azure ML makes building, testing, deploying and monitoring ML pipelines easy. It is a cloud-based platform with an easy-to-use interface with prebuilt components that can be used to drag and drop to create ML models quickly. It also provisions R and Python containers making the platform comfortable for seasonal data scientists and ML engineers to create ML models in a programming language of their choice and package it in an ML pipeline.
Arrangement and Accomplishment of Interconnected Networks with Virtual Reality
Published in IETE Journal of Research, 2022
This is a project underway that builds the simulated realism transmission standard, particularly to connected VR. This definition of connectivity needs as one of the key difficulties for connected audiovisual and VR affects most of several aforementioned concerns [6]. A systematic method of transmitting consumer demands through to the telecommunication layer is still a work in progress, and mappings across multiple layers of QoS definition “is only becoming to be recognized.” In this study, we offer the interconnectivity paradigm, which reflects an internet perspective of a decentralized VE [7], as a complement to continuing studies. The concept goes into further depth on capacity needs for shareable virtualized entities that vary as a consequence of human activities. In a test case, an experimental multiuser connected VE for remote monitoring of a robot manipulator was employed. This VE uses a mixture of common technologies, including VRML, Distributed Interactive Simulation (DIS), and Java [8–10], to operate across User Datagram Protocol (UDP) employing IP multiplex. A virtual environment is a programme that creates separated python virtual environments for distinct projects to keep their dependencies separate. Most Python programmers utilise this as one of their most significant tools. When assessing an algorithm's efficiency, Big O notation is used to indicate the complexity of the method, which in this context refers to how effectively the algorithm scales with the size of the dataset.
Earthquake damage assessment system for New Taipei City
Published in Journal of the Chinese Institute of Engineers, 2018
Ching-An Lee, Yu-Chi Sung, Chia-Chuan Hsu, Ming-De Lu, Kuang-Wu Chou
IronPython is an implementation of the programming language Python. As an interpreted language, Python is a high-level programming language for general-purpose programming. Its fast computational speed, simple syntax, and extensively integrated library favor engineering applications. Although EDAS uses a compiler framework for PGA and magnitude calculation, it employs a scripting language for the extensibility of damage estimation. To achieve extensibility in the subsequent research, the scripting language requires modification but without the need to alter the system core of EDAS. Because EDAS was developed using the .NET Framework, IronPython was selected as the core of the scripting language. IronPython is not only compatible with Python, but also supports the .NET Framework. Writing cumbersome programs is thus not required to expand the estimation functions of EDAS in subsequent research.WPF