Python: What You Need to Know

Contents:

• What is it used for?
• Is Python easy to learn?
• Pros and cons of Python
• What are Python's competitors?

Python is one of the most in-demand programming languages ​​in the world, and its popularity continues to grow. According to the TIOBE ranking for January 2020, Python ranked third, behind only Java and C. This language is used by large companies such as Google, Yahoo!, IBM, as well as scientific organizations such as NASA and CERN. Why has Python become so popular? Let's look at the main reasons for its success.

Python is a general-purpose scripting programming language that is widely used in various fields. Although scripting languages ​​are traditionally used for small tasks, Python overcomes these limitations and is finding application in more complex projects. Unlike JavaScript, which is primarily used in web development, Python has a wide range of capabilities and can be used in areas such as data analysis, artificial intelligence, process automation, and desktop application development. We'll explore these Python usage areas in detail in the following sections.

This programming language is a powerful tool for software development. It is widely used in various fields, such as web development, mobile app development, and scientific computing. Thanks to its simplicity and flexibility, this language allows developers to quickly create and test code. It supports various programming paradigms, making it universal for solving a variety of problems. In addition, a large developer community and a large number of libraries and frameworks significantly simplify the development process and expand the possibilities of using the language. Choosing this programming language can significantly improve the efficiency and quality of your projects.

• Interpreted. This means that Python code is not translated into machine code, but executed by an interpreter program. Thanks to this, Python code will run on any platform on which the interpreter is installed. Among the disadvantages is that the code is processed not in advance, but in the process, and this reduces speed;
• Object-oriented. An object-oriented language is a language created according to the object-oriented programming model (more details here). It contains classes and objects. Classes are data types, and objects are representatives of classes. You create them yourself, give them names and assign them properties and operations that can be performed on them. This does not mean that you can only program in Python using this model: it supports functional, imperative, and other programming styles.
• It has strong dynamic typing. This means that variable types are determined after the program runs, not during compilation, and you cannot combine different types in expressions. Despite strong typing, Python allows more than some other languages ​​- for example, you cannot add a string to an int, but you can add a decimal number (float) to an integer.

What is it used for?

Python occupies a leading position in such in-demand areas as Data Science, process automation, and web development. These areas actively use the capabilities of the Python programming language for data analysis, creating automated solutions, and developing web applications. Python has become an indispensable tool for professionals seeking to improve the efficiency and productivity of their projects.

• web development;
• machine learning;
• Internet of Things;
• projects with artificial intelligence, neural networks;
• Data Science, analytics;
• some games.

You can learn more about the applications of the Python programming language in the article "What is the Python Programming Language Used For?" Here you will find information about various areas of Python use, including web development, data analysis, machine learning, and process automation. Python is a universal language that is suitable for both beginners and experienced programmers due to its simplicity and powerful libraries.

Is Python Easy to Learn?

Python is one of the most suitable programming languages ​​for beginners. Its flexibility, simplicity, and minimalistic syntax make it an ideal choice for beginning developers. With Python, you won't encounter the complexities of memory and pointer management found in C++. Instead, you can focus on programming in a comfortable and intuitive environment. In addition, Python provides detailed error messages in English, which greatly simplifies the process of debugging code.

Pros and Cons of Python

• Well suited for beginners.
• Simple minimalistic syntax: code is easy to write, read, and maintain.
• Large standard library and many additional libraries.
• Large selection of frameworks.
• Supports object-oriented programming and other paradigms.
• Cross-platform and support for almost all modern systems.

• Low speed.
• Poorly suited for mobile application development.
• Due to dynamic typing, there is a higher probability of an error at startup, more tests are needed.
• Not suitable for working with memory at a low level.

What are Python's competitors?

Python is one of the most popular programming languages, and learning it can be quite rewarding. It has a simple syntax, making it accessible to beginners. Unlike Java, Python does not require strict typing, which speeds up the development process. Java, being a strongly typed language, offers stricter rules, which can be useful for large projects, but complicates the learning process.

Comparing Python with JavaScript, it can be noted that both languages ​​are widely used in web development. Python is suitable for the server-side, allowing you to create powerful applications using frameworks such as Django and Flask. JavaScript, in turn, is the main language for client-side development and provides dynamic interaction on web pages.

Thus, the choice between Python, Java, and JavaScript depends on your goals and interests. Python is suitable for those looking to quickly get started programming and developing applications, while Java and JavaScript may be preferable for those aiming to create large systems or web projects. Python and Java occupy similar positions in programming language rankings and share a number of similar characteristics. Both languages ​​support object-oriented programming, allowing developers to create flexible and scalable applications. Furthermore, Python and Java are cross-platform, meaning programs written in these languages ​​can run on different operating systems without significant code changes. These common features make Python and Java popular choices for developers seeking to create efficient and portable software.

There are many differences.

Java and Python have significant differences in their typing systems. In Java, typing is static, which means you must explicitly specify the types of variables in your code. This allows the program to check types at compile time, preventing incorrect code from running. In contrast, Python uses dynamic typing, which simplifies the development process since the developer does not need to specify variable types. However, this also means that type errors may only become apparent at runtime. This approach in Python can speed up the coding process, but it also increases the risk of errors that can be more difficult to track down and fix.

Python is an interpreted programming language, which makes it simple and easy to use. In contrast, Java combines both compilation and interpretation. This allows Java to effectively leverage the benefits of both approaches, ensuring cross-platform compatibility and high program execution speed. Thus, developers can create applications that run on various devices and operating systems without sacrificing performance.

Java clearly has a performance advantage over Python, which is one of its key advantages. For example, an operation on a simple binary tree is executed ten times faster in Java than in Python. This makes Java a preferable choice for tasks that require high performance and fast algorithm execution.

Java's syntax is largely similar to that of C and C++. All of these languages ​​have a strict and rather verbose syntax, which can be difficult for beginners. Instead of focusing on the content of the code, novice programmers have to pay close attention to the wording and structure. However, readability issues are not limited to beginners. Much of a programmer's work involves interacting with existing code, so high readability and clarity of code become critical for effective work.

Python has a concise syntax, which makes the code minimalistic and easy to read. This programming language allows developers to focus on problem-solving rather than complex syntax. The cleanliness and simplicity of its code make it easy to understand and maintain, making Python a popular choice for both beginners and experienced programmers. Java is a leader in mobile app development and is excellent for creating desktop programs, as well as software for industrial and enterprise needs. Thanks to its versatility and reliability, Java is a preferred choice for developers seeking to create high-quality applications. Python is an excellent programming language for machine learning, process automation, artificial intelligence development, and web application development. Its simplicity and readability make it ideal for both beginners and experienced developers. Additionally, a vast ecosystem of libraries and frameworks, such as TensorFlow, Keras, and Django, significantly speeds up the development and implementation of projects. Thanks to its active community, Python is constantly updated and adapts to new technological challenges, making it an indispensable tool in modern programming. Python is strongly typed, requiring explicit data types. While this programming language is highly flexible, it does have its limitations. In contrast, JavaScript uses weak typing, allowing developers to manipulate data more freely. However, this freedom can lead to errors and unexpected results in code, requiring programmers to exercise care and caution when working with variables.

Python is inferior to JavaScript in execution speed. JavaScript demonstrates superior performance, making it a preferred choice for tasks that require fast data processing.

JavaScript continues to evolve and find application in various fields, but web development remains its primary focus. Python, meanwhile, has significantly expanded its horizons, gaining popularity in fields such as data science and data analysis.

JavaScript was originally used exclusively for frontend development, that is, for creating interfaces and user interactions. However, with the advent of Node.js, this programming language has significantly expanded its capabilities. Now, JavaScript is actively used for both frontend and backend development, providing full interaction on the client and server sides. While Python can also be used for both areas, in practice, it is more often used in backend development due to its simplicity and powerful libraries. Thus, the choice between JavaScript and Python depends on the specifics of the project and development requirements.

The number of vacancies in Moscow remains high, eliminating concerns about a job shortage. In late January and early February 2020, approximately 1,600 job postings were posted on the HH.ru platform, and over 600 on Yandex.Jobs. The most in-demand positions are in web development, data analysis, and processing. Key requirements for candidates include the ability to work with various libraries and knowledge of popular frameworks. This creates excellent opportunities for specialists in these fields, underscoring the stable demand for qualified personnel.

On the HH.ru and Yandex.Jobs platforms, developer vacancies in Moscow start at 95,000 rubles per month. Half of the postings offer salaries exceeding 150,000 rubles. Experienced specialists can expect higher salaries, starting at 220,000 rubles, and in some cases, income can reach 300,000–400,000 rubles. This demonstrates the high demand for development professionals and the competitiveness of the Moscow labor market. Beginning Python developers can expect salaries ranging from 30,000 to 70,000 rubles. This data is current as of February 2020. Python remains one of the most in-demand programming languages, and specialists in this field have good prospects in the labor market. With increased experience and skills, salaries can increase significantly, making the Python developer profession attractive to entry-level professionals. At the end of 2019, according to the Salary Bank, the average salary in Moscow was 85,707 rubles. This demonstrates that Python developers have competitive salaries, making them sought-after specialists in the capital's labor market. The high level of salaries in this field confirms the relevance and prospects of the profession, and also emphasizes the importance of Python programming skills in the modern environment.