صوت آموزشی بعد از ظهر 5 "زبان برنامه نویسی پایتون" - همراه با منبع آموزش

به نام خداسلام صوت آموزشی بعد از ظهر 5 صوت آموزشی بعد از ظهر 5 "زبان برنامه نویسی پایتون" درسنامه : AUGUST 12, 2020/#PYTHONWhat is Python Used For? 10+ Coding Uses for the Python Programming Language.Writer:Estefania Cassingena Navoneکدنویسی تخصصی? WelcomeHi! Please take a moment to think about this question:How is Python applied in real-world scenarios?If you are learning Python and you want to know the answer, then this article is for you.Having a clear idea of the applications and vast potential of this programming language will give you the motivation that you will need throughout your journey.Let's begin! ✨? Python in Real-World ScenariosPython is used in virtually every industry and scientific field that you can imagine, including:Data Science.Machine Learning.Web Development.Computer Science Education.Computer Vision and Image Processing.Game Development.Medicine and Pharmacology.Biology and Bioinformatics.Neuroscience and Psychology.Astronomy.Other areas such as robotics, autonomous vehicles, business, meteorology, and graphical user interface (GUI) development.This article covers a wide range of applications of this programming language in these industries with examples, use cases, and Python libraries. Let's start with the applications of Python in data science.? Web DevelopmentPython is used in the field of web development to build the back-end of web applications. Let's start this section by talking a little bit about what the back-end is and how it helps us to create web applications.Python for Back-End Web DevelopmentIn a web application, all the code used to interact with the user and create what the user sees is called the front-end part of the application.Python is used to code the behind-the-scenes functionality of the application, the part that powers all the functionality of the application but that you don't see directly on screen.It handles the server-side of the application, interacting with all the necessary databases when the user requests data. It returns the requested data to the user to make the application run as expected.? Tip: Full-Stack Web Development involves both the front-end and back-end of a web application to make it presentable to the user while working with databases.Web FrameworksThese are some popular Python web frameworks:Django: a "high-level Python Web framework that encourages rapid development and clean, pragmatic design."Flask: a very popular microframework used to develop web applications in Python.Pyramid: a "small, fast, down-to-earth Python web framework."Web2Py: a "free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications."Bottle: a "fast, simple and lightweight WSGI micro web-framework for Python."Learning ResourcesfreeCodeCamp's YouTube channel has great free tutorials to learn web development in Python:Python Django Web Framework - Full Course for BeginnersLearn Flask for Python - Full TutorialWeb Programming with Flask - Intro to Computer Science - Harvard&amp;amp;amp;amp;#x27;s CS50 (2018)Full stack Python Flask tutorial - Build a social networkThese are also great free resources to learn how to work with these frameworks:Django &amp;amp;amp;amp;quot;First Steps&amp;amp;amp;amp;quot; sectionPyramid TutorialsQuick Tutorial for Pyramid? Computer Science EducationPython currently plays a key role in computer science education around the world. Let's see why.Why Python?Python is so widely used as a teaching tool because:It is easy to learn: its syntax is simple and it can be learned quickly. Students start diving into more advanced aspects of computer science much more quickly than with other programming languages.It is powerful: it is used in real-world applications, so students immediately start acquiring valuable skills for their careers.It is versatile: it supports various programming paradigms including imperative programming, functional programming, procedural programming, and object-oriented programming.The creator of the Python language, Guido van Rossum, stated that:Now, it's my belief that Python is a lot easier than to teach to students programming and teach them C or C++ or Java at the same time because all the details of the languages are so much harder.Python's syntax is simple and straightforward, so students can start learning computational thinking and problem-solving skills much more quickly, which is usually the main goal of introductory computer science courses.Python in the Classroom and Online LearningMany universities and schools around the world have decided to teach introductory programming and computer science courses using Python.For example, MIT, one of the world's leading universities in the field of technology, teaches introductory computer science and programming using Python (both in the on-campus and online versions of the course on edX).According to an article by MIT News published when the online version of the course reached 1.2 million enrollments, the course "has become the most popular MOOC in MIT history".This clearly shows that Python's popularity continues to rise. In the article you can find testimonies of students who learned Python and how this new knowledge improved their lives.In the article, Professor Ana Bell, lecturer in the EECS Department at MIT, states that:“At its core, the 6.00 series teaches computational thinking...It does this using the Python programming language, but the course also teaches programming concepts that can be applied in any other programming language.”This clearly shows the potential of Python as a teaching tool. It can be used to teach higher level concepts that can be applied to other programming languages.And it does this without the extra layer of complexity that the syntax of other programming languages like Java or C might add to the learning process.During the last few years, online courses have become an important part of the daily lives of learners of all ages worldwide. The variety of free online courses and resources has expanded tremendously in the last few years.For example, freeCodeCamp&amp;amp;amp;amp;#x27;s curriculum includes three free certificates with projects to help you expand your Python skills in key areas with high demand worldwide:Scientific Computing with Python.Data Analysis with Python.Machine Learning with Python.Harvard University also offers these online courses that can be audited for free:CS50's Introduction to Computer Science.CS50's Web Programming with Python and JavaScript.CS50's Introduction to Artificial Intelligence with Python.Python has definitely become a key tool that has improved computer science education worldwide. And it will continue to do so in the future.If you are thinking about teaching a course using Python or learning Python, I guarantee you that your time and effort will be totally worth it.? Computer Vision and Image ProcessingPython is used for computer vision and image processing, fields that are expanding rapidly.The goal of image processing is to process an image, apply transformations to it, and return a new version of the original image.In contrast, the goal of computer vision is more complex because it tries to make the computer understand and interpret an image and its content.Image ProcessingLet's start with image processing. With a Python library, you can perform operations such as:Cropping, flipping, and rotating.Manipulating exposure and color channels.Detecting edges and lines.Adding filters and restoring images.Computer VisionNow let's dive into computer vision. If you start researching this topic, you might be surprised by its current applications. Some of them are:Navigation.Object and Event Detection.Facial recognition.Image classification.This scientific field is so important that Google developed a tool called Cloud Vision, which has a Python version for developers to incorporate this functionality into their programs.According to the "Using the Vision API with Python" tutorial in Google Codelabs, the Google Cloud Vision API:Allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content.This set of tools provides functionality for face detection, landmark detection, logo detection, label detection, text detection, and more.? Tip: One of the most amazing applications of computer vision is the development of software to control self-driving cars. These vehicles need to "see" where they are driving, where the lane is, and what objects surround them (including other vehicles). Computer vision plays a key role in this functionality.Python LibrariesThese are some awesome libraries for computer vision and image processing:OpenCV: an "open source computer vision and machine learning software library". Its Python version is called OpenCV-Python.scikit-image: a "collection of algorithms used for image processing".NumPy: it can be used to process the pixels of an image as a 2D array.SciPy: the scipy.ndimage package "contains various functions for multidimensional image processing." منبع درسنامه: https://www.freecodecamp.org/news/what-is-python-used-for-10-coding-uses-for-the-python-programming-language/ موفق باشید به امید خدا