What is Python?

Python; It is a programming language widely used in web applications, software development, data science, and machine learning (ML). Developers use Python because it is efficient, easy to learn, and can be run on many different platforms. Python software can be downloaded for free, provides good integration with any system and increases development speed. What are the advantages of Python? Some of the advantages of Python are: Developers can easily read and understand the Python program as it has a simple and English-like syntax. Python allows developers to be more productive because developers can write a Python program in far fewer lines of code than in many other languages. Python has a large standard library containing reusable code for almost any task. Therefore, developers do not need to write the code from scratch. Developers can easily use Python with other popular programming languages ​​such as Java, C, and C++. There are millions of developers in the active Python community around the world, ready to offer support. If you encounter a problem, you can get quick support from this community. If you want to learn Python, there are many useful resources on the internet. For example, you can easily find videos, tutorials, documentation, and developer guides. Python; It is portable between different computer operating systems such as Windows, macOS, Linux and Unix.
How to use Python?
Python language can be used in many ways in application development. Some of these are as follows: Server side web development Server-side web development involves complex back-end functions that websites perform to display information to the user. For example, websites must interact with databases, talk to other websites, and protect data as it is sent over the network. Python is useful for writing server-side code because it offers many libraries of pre-written code for complex backend functions. Developers can also take advantage of a wide range of Python frameworks that provide all the tools needed to build web applications faster and easier. For example, developers can create a web application framework in seconds because they do not have to rewrite it from scratch. They can then test this framework using the framework's testing tools without needing other testing tools. Automation with Python scripts A scripting language is a programming language that automates tasks normally performed by humans. Programmers widely use Python scripts to automate many tasks they do every day, such as: Rename many files at once Convert a file to another file type Delete repetitive words in a text file Performing basic mathematical operations Send email messages Download content Perform basic log analysis Finding errors in many files
Data science and machine learning Data science is extracting valuable information from data, and machine learning (ML) teaches computers to automatically learn from data and make accurate predictions. Data scientists use Python for data science tasks such as: Correcting and removing incorrect data, known as data cleansing Extract data and select various features of the data Data tagging, i.e. adding meaningful names for data Draw different insights from data Visualize data using charts such as line charts, bar charts, column charts, and pie charts Data scientists use Python ML libraries to train ML models and compile classifiers that classify data accurately. People working in different fields; It uses Python-based classifiers to perform classification tasks such as image, text and network traffic classification, speech recognition and facial recognition. Data scientists also use Python for deep learning, an advanced ML technique. Software development Software developers often use Python for different development tasks and software applications such as: Tracking errors in software code Compiling software automatically Performing software project management Developing software prototypes Developing desktop applications using Graphical User Interface (GUI) libraries Developing a variety of games, from simple text-based games to more complex video games
Software test automation Software testing is the process of checking whether the results obtained from the software match the expected results to ensure that there are no bugs in the software. Developers use Python unit testing frameworks such as Unittest, Robot, and PyUnit to test the functions they write. People responsible for software testing use Python to write test cases for various test scenarios. For example, they use Python to test the user interface of a web application, multiple software components, and new features. Developers can use many tools to run test scripts automatically. These tools are known as Continuous Integration/Continuous Deployment (CI/CD) tools. Software testing people and developers use CI/CD tools like Travis CI and Jenkins to automate tests. The CI/CD tool automatically runs Python test scripts and reports test results with every new code change developers make.