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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-python-programming-language-course-without-coding/
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课程名称:无编码的Python编程语言课程 课程概述: 欢迎参加“无编码的Python编程语言课程”。本课程旨在以轻松愉快的方式,通过教育性短讲和测验,让学习者掌握Python编程语言的基础知识。Python是一种通用的、面向对象的高级编程语言,无论您在人工智能、金融,还是追求网页开发或数据科学的职业生涯,它都是一项非常重要的技能。 OAK Academy 的Python讲师在软件开发和数据分析等方面专业化,为各个级别的学生提供友好且有效的指导。Python的简单语法特别适合桌面应用、Web应用和商业应用。其设计理念强调可读性和可用性,使得编程过程更加标准化。 无论您是初学者还是专业人士,此课程都适合您!即使没有任何编程经验也没有问题,课程为零基础学习者量身定制,逐步教授Python编程的基本概念和实际应用。课程内容包括变量赋值、数据结构、控制流语句、函数和字符串操作等各种基本编程概念。 您将获得: - 从基础知识到实际编程的渐进式学习。 - 直接的项目实例和应用练习。 - 通过练习和挑战来巩固学习,同时还可以使用真实生活的案例。 旨在通过建设性的学习体验帮助您掌握Python编程,让您在求职市场中脱颖而出,薪资水平和简历价值也会显著提升。课程还提供终身访问权限,以及快速友好的问答支持。 如您渴望学习这个雇主需求量最大的技能之一,欢迎立即注册参加“无编码的Python编程语言课程”!
Welcome to my " Python Python Programming Language Course Without Coding " course.Python - Learn Python Programming Language Basics without coding with educational, short lectures & quizzes in a fun wayPython is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks. Python, machine learning, Django, python programming, ethical hacking, machine learning python, python Bootcamp, data science, data analysisDo you want to learn one of the employer's most requested skills? If you think so, you are at the right place. We've designed for you "Python Python Programming Language Course Without Coding" a straightforward course for the Python programming language.In the course, you will have down-to-earth way explanations of hands-on projects. With my course, you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges, and lots of real-life examples.This Python course is for everyone!My "Python Python Programming Language Course Without Coding" is for everyone! If you don't have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).Why Python?Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, that it supports a lot of today's technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.No prior knowledge is needed!Python doesn't need any prior knowledge to learn it and the Ptyhon code is easy to understand for beginners.What you will learn?In this course, we will start from the very beginning and go all the way to programming with hands-on examples. We will first learn how to set up a lab and install needed software on your machine. Then during the course, you will learn the fundamentals of Python development likePython IntroductionFirst Step to CodingUsing Quotation Marks in Python CodingIntroduction to Basic Data Structures in PythonPerforming Assignment to VariablesPerforming Complex Assignment to VariablesType ConversionArithmetic Operations in PythonExamining the Print Function in DepthEscape Sequence OperationsBoolean Logic ExpressionsExamining Strings SpecificallyMethods in Strings-1Methods in Strings-2Methods in Strings-3Indexing and Slicing Character StringComplex Indexing and Slicing OperationsString Formatting with Arithmetic OperationsString Formatting With % OperatorString Formatting With String.Format MethodString Formatting With f-string MethodData Structures-Creation of ListReaching List Elements - Indexing and SlicingAdding & Modifying & Deleting Elements of ListAdding and Deleting Elements to List with MethodsAdding and Deleting by Index in ListOther List MethodsCreation of TupleReaching Tuple Elements Indexing And SlicingData Structures-Creation of DictionaryReaching Dictionary ElementsAdding & Changing & Deleting Elements in DictionaryDictionary MethodsData Structures-Creation of SetAdding & Removing Elements Methods in SetsDifference Operation Methods In SetsIntersection & Union Methods In SetsAsking Questions to Sets with MethodsInput FunctionsStructure of "if" StatementsStructure of "if-else" StatementsStructure of "if-elif-else" StatementsStructure of Nested "if-elif-else" StatementsCoordinated Programming with "IF" and "INPUT"Ternary ConditionFor Loop in PythonUsing Conditional Expressions and For Loop TogetherList ComprehensionWhile Loop in PythonBreak & Continue CommandMeeting with FunctionsReturn Expression in FunctionsWrite Docstring in FunctionUsing Functions and Conditional Expressions TogetherArguments and ParametersBuilt-in Functions - 1Built-in Functions - 2With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. 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Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.Python vs. R: What is the Difference?Python and R are two of today's most popular programming tools. When deciding between Python and R in data science , you need to think about your specific needs. On one hand, Python is relatively easy for beginners to learn, is applicable across many disciplines, has a strict syntax that will help you become a better coder, and is fast to process large datasets. On the other hand, R has over 10,000 packages for data manipulation, is capable of easily making publication-quality graphics, boasts superior capability for statistical modeling, and is more widely used in academia, healthcare, and finance.What does it mean that Python is object-oriented?Python is a multi-paradigm language, which means that it supports many data analysis programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming. In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object. To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality. A class representing a car may have attributes like color, speed, and seats and methods like driving, steering, and stopping.What are the limitations of Python?Python is a widely used, general-purpose programming language, but it has some limitations. Because Python in machine learning is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C. Therefore, Python is useful when speed is not that important. Python's dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications. The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development. That being said, computer hardware is getting better and better, and the speed and memory limitations of Python are getting less and less relevant.How is Python used?Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background. Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications. You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications. Recently, Python is also being used as a language for mobile development via the Kivy third-party library.What jobs use Python?Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments. Web developers use Python to build web applications, usually with one of Python's popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data. Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems.How do I learn Python on my own?Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar with the syntax. But you only need to know a little bit about Python syntax to get started writing real code; you will pick up the rest as you go. Depending on the purpose of using it, you can then find a good Python tutorial, book, or course that will teach you the programming language by building a complete application that fits your goals. If you want to develop games, then learn Python game development. If you're going to build web applications, you can find many courses that can teach you that, too. Udemy's online courses are a great place to start if you want to learn Python on your own.Video and Audio Production QualityAll our videos are created/produced as high-quality video and audio to provide you the best learning experience.You will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q & A sectionUdemy Certificate of Completion Ready for DownloadDive in now!We offer full support, answering any questions.See you in the " Python Python Programming Language Course Without Coding " course.Python - Learn Python Programming Language Basics without coding with educational, short lectures & quizzes in a fun way