If you already know Python basics, then this course is the next step in your Python learning path to becoming a Python programmer. In Python, object-oriented Programming (OOPs) is a programming paradigm that uses objects and classes in programming. It aims to implement real-world entities like inheritance, polymorphisms, encapsulation, etc. in the programming. The central concept of OOPs is to bind the data and the functions that work on that together as a single unit so that no other part of the code can access this data. A class is a collection of objects.

Programming Paradigms are the different approaches to solving computational problems through programming. In this article, we will be talking about programming Paradigms, why they're an important part of programming, the different programming paradigms that can be applied using python, and how to apply them. Before we delve into programming paradigms, it is crucial to understand the meaning of Paradigms in its basic form, unrelated to computer science, paradigms are essentially the models, guidelines or patterns by which certain objectives are achieved, analogically, they can be likened to how scaffolding serves as the basic structure for buildings. Programming Paradigms are the different styles which a program can be written in a certain programming language, they are the different ways in which code in a given programming language (like Python, Java, JavaScript, etc) can be organised. In simple words, every programming language has a special way (methodologies) in which it's code can be structured and run and these are called programming paradigms, some programming languages only support the use of one paradigm, these are called single paradigm languages while others support multiple paradigms, these are called multi paradigm languages.

Python is a simple and powerful programming language. It has efficient high-level data structures and effective approach towards object-oriented programming. The language possesses syntax and dynamic typing, making it a supreme choice for rapid application development and scripting on almost all the platforms. It can be used for everything from software development, web development, Data Analytics and scientific applications. The programming language is used across some leading companies such as Google, Yahoo, NASA, CERN, etc. Tech giants such as Facebook, Google, and Amazon etc use Python for their business analysis.

Python is a multi-paradigm programming language. It supports different programming approaches. Python is also an object-oriented programming language. Object-oriented programming (OOP) is a programming paradigm based on the concept of "objects", which can contain data and code that manipulates that data. In Python, classes are used to define the structure of an object, and objects are instances of a class.

Software-testing firm Tiobe, which maintains a monthly tracker of the popularity of the vast array of programming languages available to software developers, has picked C as its programming language of 2022. Despite it being placed third in Tiobe's January 2023 index, the popularity of C rose faster than all other languages last year, up by 4.26% compared with January 2022, the company said. Here's a list of the most popular programming languages and where to learn them Runners-up this year were C, the second most popular language, which grew in popularity by 3.82%, and Python, the top language, which grew by 2.78%. Having fallen from third, Java is now in fourth place, growing 1.55%. "The reason for C's popularity is its excellent performance while being a high level object-oriented language. Because of this, it is possible to develop fast and vast software systems (over millions of lines of code) in C without necessarily ending up in a maintenance nightmare," says Tiobe CEO Paul Jensen.

Software-testing firm Tiobe, which maintains a monthly tracker of the popularity of the vast array of programming languages available to software developers, has picked C as its programming language of 2022. Despite it being placed third in Tiobe's January 2023 index, the popularity of C rose faster than all other languages last year, up by 4.26% compared with January 2022, the company said. Runners-up this year were C, the second most popular language, which grew in popularity by 3.82%, and Python, the top language, which grew by 2.78%. Having fallen from third, Java is now in fourth place, growing 1.55%. Here's a list of the most popular programming languages and where to learn them "The reason for C's popularity is its excellent performance while being a high level object-oriented language. Because of this, it is possible to develop fast and vast software systems (over millions of lines of code) in C without necessarily ending up in a maintenance nightmare," says Tiobe CEO Paul Jensen.

Is Python finally ready for this task? This article compares various approaches to speed up Python. However, it should be clear in advance that C is still faster than Python. The question is by how much? The article is tailored for Data Scientists and persons with domain knowledge and Python experience that are interested in results gained from a simulation. The article demonstrates the current state of Python's performance using one example only. It is not a rigorous comparison. It shows what tools are available, how to measure performance gains, and what best practices are.

Are you ready to take the PCEP – Certified Entry-Level Python Programmer exam? The first two exams are in the form of practice tests and consists of 200 questions that may appear during the Certified Entry-Level Python Programmer exam. Where necessary, explanations are added to the questions. This course allows you to confirm your proficiency and give you the confidence you need to earn the PCEP – Certified Entry-Level Python Programmer certification. PCEP – Certified Entry-Level Python Programmer certification shows that the individual is familiar with universal computer programming concepts like data types, containers, functions, conditions, loops, as well as Python programming language syntax, semantics, and the runtime environment.

Python is an interpreted, high-level, general-purpose programming language. This means that it is executed by the interpreter at runtime, rather than being compiled into machine code, which makes it easy to write and debug. It is also a high-level language, which means that it abstracts away many of the low-level details of the computer, such as memory management and garbage collection, and provides a higher-level, more intuitive interface for the programmer. Python is an object-oriented language, which means that it organizes data and the functions that operate on that data into reusable units called objects. Objects can be thought of as containers that hold data and the functions that operate on that data.