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About 10,000 papers for “Python (programming language)”

Modern Programming Language Julia

Fojtík, Pavel · Brno University of Technology Digital Library (Brno University of Technology) · 2016

Tato práce popisuje dynamický programovací jazyk Julia. Nejprve uživatele seznámí s jeho syntaxí a implementací. Dále popisuje základní pravidla pro efektivní psaní kódu a optimalizaci. Tento dokument také uvádí některé příklady použití ve vědeckých pracích. Nakonec je v experimentální části provedeno porovnání Julie s jazykem Python a C, kteří byli vybráni jako zástupci nejpoužívanějšího statického a dynamického jazyka.

Cited by 0

Python SystemVerilog (Python SV)

nag, santhosh nagaraj · Figshare · 2023

Python SystemVerilog is an emerging methodology for developing advanced verification environments. Python is a high-level programming language with a wide range of libraries and frameworks that can be utilized for various applications. SystemVerilog, on the other hand, is the hardware description language used to describe digital logic circuits and systems. Python SV offers an innovative approach to digital design verification, taking advantage of both Python and SystemVerilog.

Cited by 0Open access

Python SystemVerilog (Python SV)

nag, santhosh nagaraj · Figshare · 2023

Python SystemVerilog is an emerging methodology for developing advanced verification environments. Python is a high-level programming language with a wide range of libraries and frameworks that can be utilized for various applications. SystemVerilog, on the other hand, is the hardware description language used to describe digital logic circuits and systems. Python SV offers an innovative approach to digital design verification, taking advantage of both Python and SystemVerilog.

Cited by 0Open access

Discussion on programming language teaching of information major based on Python language

Lu Li, Xiangui Xue, Yang Xia · Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022) · 2023

This paper first analyzes the data visualization teaching in the university classroom, then draws the conclusion that the Matplotlib in Python language is suitable for data visualization teaching and data visualization teaching will be the inevitable trend of the development of information technology. Finally, an example is given to discuss the teaching practice of Matplotlib in data visualization teaching.

Cited by 0

Programming Language Converter

Joe Marlou Opella, Julius Sareno · Diversitas Journal · 2026

The developed Programming Language Converter serves as an important tool to students, researchers, professors and to anyone who wants to learn different programming languages since it allows various programming constructs to be differentiated. It is a standalone programming platform that allows user to create, edit, compile, and execute three different programming languages at a time. It can convert Java to C++ programming source code and C++ to C programming source code and vice versa. For easy and fast construction of program source code an auto help function that lists down correct suggested syntax is designed. The menu bar fully equipped with helpful list of basic concept in programming is included for the user to easily create, open and save file. One of the most important tool is the navigation menu that guides the users on how to use the programming platform. The software can be run on Microsoft Win10 operating system and was developed using Python 64 bit 3.4.1.1 as the main programming language.

Cited by 0Open access

Python Bootcamp 2021: Build 8 Real World Python Projects

Bulletin of Miscellaneous Information (Royal Gardens Kew)

Description The most appealing characteristic of Python is that it is an interpreted language. Interpreted languages are the programming languages that do not need to be compiled to run. An interpreter can run python code on any kind of computer, by itself. This means the programmer can quickly see the results, if or when they need to modify the code. On the flip side, this also means that Python is slower than a compiled language like C. And that is because it is not running on a machine code directly. Because Python is an interpreted language, testing small snippets of code and moving them between different platforms is quite simple. Since Python is compatible with most of the operating systems, it is used universally, in a variety of applications. Python is considered a beginners’ programming language. As it is a high-level language, a programmer can focus on what to do instead of how to do it. This is one of the major reasons why writing programs in Python takes less time than in other programming languages. Because Python is similar to English, many find it easier to learn than other programming languages. Developers can read and remember the Python syntaxes much easier than other programming languages. Since Python supports scripting as well, it can be used to build large, commercial applications. The main factor behind Python’s popularity in the IT world is its reliability. Being a high-level programming language, Python lets the user focus on the core functioning of the application. Meanwhile, the common programming tasks are handled by the language itself. Now you can probably see why Python is one of the most favored programming languages by developers, data scientists, software engineers, and hackers! And the key factors behind its diverse userbase are flexibility, versatility, and object-oriented features. This is also why Python is used in complex fields like Machine Learning (ML) and Data Science (DS). Who this course is for: Beginners In Python Requirements Knowledge Of Python

Cited by 0

Python for Programmers

Shai Vaingast · Apress eBooks · 2014

Python is a very readable language. Assuming you’ve had some previous experience in programming, you should be able to read and understand the code presented in the book without much trouble. That said, this book would be incomplete without some coverage of the Python programming language.

Cited by 0

Python Training Course

blog, Mahima · Figshare · 2025

Python is a high-level programming language. It is simple and easy to read. It is often used in many different spheres, such as web development, data analysis, machine learning, automation, and artificial intelligence. This language enables developers to develop real-world applications with efficiency. FITA Academy provides extensive training in Python, which helps students and professionals shorten their learning curve for mastering the programming language.<br>

Cited by 0Open access

Python Training Course

blog, Mahima · Figshare · 2025

Python is a high-level programming language. It is simple and easy to read. It is often used in many different spheres, such as web development, data analysis, machine learning, automation, and artificial intelligence. This language enables developers to develop real-world applications with efficiency. FITA Academy provides extensive training in Python, which helps students and professionals shorten their learning curve for mastering the programming language.<br>

Cited by 0Open access

Python Language Website

Python. Brooklyn, NY · CERN Document Server (European Organization for Nuclear Research)

Python Language Website. Home page for Python, an interpreted, interactive, object-oriented, extensible programming language.

Cited by 0

Python tutorial

Rossum, Guido · Data Archiving and Networked Services (DANS) · 1995

Python is a simple, yet powerful programming language that bridges the gap between C and shell programming, and is thus ideally suited for ``throw-away programming'' and rapid prototyping. Its syntax is put together from constructs borrowed from a variety of other languages; most prominent are influences from ABC, C, Modula-3 and Icon. The Python interpreter is easily extended with new functions and data types implemented in C. Python is also suitable as an extension language for highly customizable C applications such as editors or window managers. Python is available for various operating systems, amongst which several flavors of UNIX, Amoeba, the Apple Macintosh O.S., and MS-DOS. This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but as the examples are self-contained, the tutorial can be read off-line as well. For a description of standard objects and modules, see the Python Library Reference manual. The Python Reference Manual gives a more formal definition of the language.

Cited by 0Open access

Introduction to Python

Deepti Chopra, Roopal Khurana · BENTHAM SCIENCE PUBLISHERS eBooks · 2023

Python is considered one of the most simple and efficient programming languages. Its object-oriented programming approach and elegant syntax make it a powerful programming language. Python is an interpreted language. Its dynamic typing and high level data structures make it an ideal language for application development in various areas and on multiple platforms. Today, Python is widely used in the areas of machine learning and data science. The following chapter discusses Python, the utility of Python in machine learning and data science, ecosystem of Python in machine learning and various libraries in Python required for machine learning.&lt;br&gt;

Cited by 0

Python tutorial

Rossum, G. (Guido) van · CWI's Institutional Repository (Centrum Wiskunde & Informatica) · 1995

Python is a simple, yet powerful programming language that bridges the gap between C and shell programming, and is thus ideally suited for ``throw-away programming'' and rapid prototyping. Its syntax is put together from constructs borrowed from a variety of other languages; most prominent are influences from ABC, C, Modula-3 and Icon. The Python interpreter is easily extended with new functions and data types implemented in C. Python is also suitable as an extension language for highly customizable C applications such as editors or window managers. Python is available for various operating systems, amongst which several flavors of UNIX, Amoeba, the Apple Macintosh O.S., and MS-DOS. This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but as the examples are self-contained, the tutorial can be read off-line as well. For a description of standard objects and modules, see the Python Library Reference manual. The Python Reference Manual gives a more formal definition of the language.

Cited by 0Open access

Python tutorial

G. (Guido) van Rossum · Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands · 1995

Python is a simple, yet powerful programming language that bridges the gap between C and shell programming, and is thus ideally suited for ``throw-away programming'' and rapid prototyping. Its syntax is put together from constructs borrowed from a variety of other languages; most prominent are influences from ABC, C, Modula-3 and Icon. The Python interpreter is easily extended with new functions and data types implemented in C. Python is also suitable as an extension language for highly customizable C applications such as editors or window managers. Python is available for various operating systems, amongst which several flavors of UNIX, Amoeba, the Apple Macintosh O.S., and MS-DOS. This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but as the examples are self-contained, the tutorial can be read off-line as well. For a description of standard objects and modules, see the Python Library Reference manual. The Python Reference Manual gives a more formal definition of the language.

Cited by 0Open access

Security programming using Python

Robin M. Snyder · 2007

Many security concepts become more clear to students when operationalized in the context of a programming language. Unfortunately, many programming systems and development environments are complex and not easily learned or used. Python is a simple programming language system with extensive library support for programming in general and security programming in particular. This paper describes using Portable Python to teach security concepts in the context of man-in-the-middle attacks.

Cited by 5

Sadhana Programming Language v1.0 — A Meaning-First, Order-Free, Time-Latent Programming Language

Manish Kumar Parihar · Zenodo (CERN European Organization for Nuclear Research) · 2026

Sadhana (Sanskrit: साधना) is an experimental meaning-first programming language and AGI alignment research framework. It compiles declarative entity-relation specifications into executable code across seven target backends: HTML/CSS, Python, SQL, Rust, Go, Java, and C++. Primary contributions include: (1) the Canonical Meaning Kernel (CMK), an invariant five-part semantic fingerprint; (2) the Bija reversible semantic encoding system inspired by Sanskrit grammar; and (3) the Sandhi Engine for mandatory meaning composition. The language is grounded in Panini's Ashtadhyayi (5th c. BCE) and Sankhya philosophy. The compiler is a single 3,587-line pure Python file with zero external dependencies. This record includes the full compiler (sadhana.py), demonstration files, and the accompanying academic paper (PDF). License: MIT. Repository: https://github.com/nickzq7/Sadhana-Programming-LanguageDeveloper "" Idea - Manish Kumar PariharResearch - Manish Kumar PariharAssembler - Manish Kumar PariharReasoning - Manish Kumar PariharQuality Check - Manish Kumar PariharStudy - Manish Kumar PariharFramework Design - Manish Kumar PariharCoder - Prompt Engineering(75%) + Online Reference (10%) + Manish Kumar Parihar (15%) ""

Cited by 0Open access

Sadhana Programming Language v1.0 — A Meaning-First, Order-Free, Time-Latent Programming Language

Manish Kumar Parihar · Zenodo (CERN European Organization for Nuclear Research) · 2026

Sadhana (Sanskrit: साधना) is an experimental meaning-first programming language and AGI alignment research framework. It compiles declarative entity-relation specifications into executable code across seven target backends: HTML/CSS, Python, SQL, Rust, Go, Java, and C++. Primary contributions include: (1) the Canonical Meaning Kernel (CMK), an invariant five-part semantic fingerprint; (2) the Bija reversible semantic encoding system inspired by Sanskrit grammar; and (3) the Sandhi Engine for mandatory meaning composition. The language is grounded in Panini's Ashtadhyayi (5th c. BCE) and Sankhya philosophy. The compiler is a single 3,587-line pure Python file with zero external dependencies. This record includes the full compiler (sadhana.py), demonstration files, and the accompanying academic paper (PDF). License: MIT. Repository: https://github.com/nickzq7/Sadhana-Programming-LanguageDeveloper "" Idea - Manish Kumar PariharResearch - Manish Kumar PariharAssembler - Manish Kumar PariharReasoning - Manish Kumar PariharQuality Check - Manish Kumar PariharStudy - Manish Kumar PariharFramework Design - Manish Kumar PariharCoder - Prompt Engineering(75%) + Online Reference (10%) + Manish Kumar Parihar (15%) ""

Cited by 0Open access