TMCnet Feature
December 16, 2020

How will Python help you make a quality application?

Choosing a programming language is an important step in custom web development. If chosen properly, it can help you reduce time-to-market, save costs, improve the system scalability, performance, and resilience to peak loads. A wrong decision can negatively affect these indicators, decreasing product quality.

Since there are numerous software technologies, it may be difficult to find the best match with your project. In this post, we will consider Python, one of the best programming languages for startups and large companies. Python is especially suited for making complex web solutions, including those that are powered by artificial intelligence and machine learning.

We’ve prepared a guide for business, in which you will find answers to the following questions:

  • What are the main use cases of Python?
  • What are the key advantages of Python programming language?
  • What challenges can you address by using Python?

We’ve also described a few project cases showcasing tasks and issues Python can successfully resolve. Let’s get started!

What is Python?

Python is a general-purpose and dynamically-typed language, supporting numerous programming paradigms. These paradigms involve functional, structured, and object-oriented programming. Initially released in 1991, Python focuses on code readability and syntax simplicity, helping software engineers faster create performant web applications.

It takes third place in the list of the most popular languages worldwide according to the TIOBE Programming Community Index. Python was also named the Programming Language of the Year in 2007, 2010, and 2018. On StackOverflow Developer Survey 2019, it was featured as the first most loved and the second most wanted language. As of today, Python is one of the best programming languages for 2020 and the years to come.

What are the main use cases of Python?

With multiple libraries and frameworks, Python coding language is perfectly suited for building innovative projects. Many startups choose Python for its high development speed, portability, and numerous functionality packages.

Python is mainly used in:

  • custom web development
  • data science and scientific computing
  • data analysis
  • information security
  • REST APIs (application programming interfaces)
  • artificial intelligence, which comprises machine learning, deep learning, natural language processing (NLP), text and image processing

Let’s take a deeper insight into the Python developer environment and use cases.

Python is a scripting language that has a modular architecture and contains text processing tools. Thanks to them, it is a great choice for building NLP (natural language processing) functionality.

Python is often used in information safety, involving exploit development. Exploit is a computer program or a piece of software that makes use of bugs or vulnerabilities. Programmers can create exploits to detect and showcase application errors.

Providing a fully customizable graphical interface made with pure Python, Immunity Debugger allows analyzing malware, automating the debugging process, and preventing corruption during complex analysis. Furthermore, it reduces exploit development time by 50%.

Using libraries such as Keras, Pytorch, and TensorFlow, Python lets software engineers build artificial intelligence and machine learning-based solutions.

With the help of SciPy, NumPy, and Pandas libraries, you can launch scientific computing and data analytics projects. Employing standard formats and protocols—for instance, MIME, HTTP, etc.—programmers can write web applications.

Thanks to SageMath—computer mathematical software—Python development teams can make systems that support complex calculations and formulas. Graph theory, science, algebra, number theory, statistics, numerical mathematics, etc. are those areas where you can use SageMath and Python.

The key benefits of Python programming language

1. Improved time-to-market

With high development speed provided by Python, companies can improve time-to-market, which is especially important if you aim to outrun competitors. Reusing the existing code, teams create applications faster while preserving product quality.

When you need to launch the project within tight deadlines, software engineers can employ PyPy just-in-time compiler or move time-essential functions to extension modules built with other programming languages.

2. Nearly 250,000 functionality packages

According to the Python Package Index (PyPI), Python contains about 250,000 packages, allowing engineers to build various software projects and functionality associated with:

  • scientific computing
  • data analytics
  • machine learning
  • system administration
  • graphical user interfaces (GUI)
  • text/image recognition and processing
  • other

What’s more, Python provides web development frameworks such as Flask, Django, Tornado, Zope, Pyramid, and TurboGears that help programmers add various features and create complex business logic with fewer efforts. These frameworks also facilitate the maintenance of complex software solutions.

3. Portability and fast prototyping

Python is a highly extensible coding language with a modular structure, which allows embedding programmable interfaces to existing digital solutions—even those that employ different technologies.

Therefore, software developers can easily fix new modules and connect diverse components, for instance, data analysis, system state monitoring, payment processing, etc. It is worth noting that Python is sometimes named a “glue programming language”. Simple code refactoring is another advantage of Python language.

4. Code readability

Python has a less-structured simpler syntax in comparison with other programming languages. It was designed with code readability in mind. It often employs English keywords instead of punctuation. The formatting of Python coding language is visually uncluttered.

5. Focus on simplicity

Python coding language supports “there should be one—and preferably only one—obvious way to do it” paradigm instead of providing multiple methods to perform a single task.

As a result, there is no need for Python software developers to look for the best way to address a certain issue. The Zen of Python also embraces the following approach: “if the implementation is hard to explain, it's a bad idea”.

What industries employ Python?

As Python allows companies to enable data analytics, complex math calculations, machine learning, image processing, etc. it is employed across all industries: FinTech, InsurTech, banking, retail, e-commerce, business, healthcare, education, science, logistics, manufacturing, social media and entertainment.

Since the Python coding programming language provides enhanced development speed, it is widely used by startups to gain a competitive advantage and pitch their products for investment.

World-famous companies that use Python

Many world-renowned organizations employ Python in their software projects. For example, Reddit, a social networking application with millions of users, is entirely created in the Python programming language.

Examples of famous companies that use Python and industries they belong to:

  • Social networking, image and video sharing platforms—Instagram, Facebook (News - Alert), YouTube, Quora, Reddit.

  • E-commerce—Amazon

  • Cloud storage, client software—Dropbox (News - Alert)

  • Music streaming, entertainment—Spotify

  • Web services—Yahoo!

  • Video streaming and media services—Netflix

What challenges can you solve with Python?

Python enables software development teams to address various issues that involve:

  • reducing time-to-market
  • increasing information security
  • building complex business logic
  • improving system performance and scalability
  • connecting diverse app components
  • providing fast processing of large amounts of data

Python is a great choice for building data analytics, scientific computing, machine learning, natural language processing, and other functionality.

However, this programming language doesn’t fit for performing memory-intensive tasks or making an additional optimization for smartphone applications.

How different companies solved complex challenges with Python

1. Union Investment

Industry: Financial, Investment

Challenge: Develop a customizable machine learning tool to create ML models

Union Investment, a leading provider of asset management services in Germany, wanted to build a machine learning solution that would allow creating ML models for financial applications.

These ML models help perform tasks such as:

  • forecasting the key performance indicators (KPIs) on a company level

  • analyzing and defining possible return drivers, for example, on the level of individual stocks

  • identifying how a certain company can take advantage of a specific data set and investment.

To develop a machine learning tool, software engineers chose Python for its wide range of libraries, enabling to address complex challenges.

The delivered ML solution includes:

  • a web-based user interface—lets customers identify and benchmark models without writing code.

  • an ML module—serves for defining models for financial data and making benchmarking)

  • a backtesting module—allows running backtests for trading strategies)

  • a model interpretation module—integrates the company’s interpretation methods into certain ML algorithms.

The Python software development team built an ML tool solely in Python, using Pandas to manage and analyze data, Sphinx to create documentation, statsmodels and XGBoost to deliver advanced statistical models.

2. An e-commerce startup

Industry: E-commerce

Challenge: Build a complex business logic and process large amounts of data

A Russian-based startup aimed to launch a startup—an online marketplace—and attract investment. The platform was intended to comprise over a thousand stores, selling smartphones and tablets.

An e-commerce solution had to process large amounts of data—up to 100GB per day. It was important to automatically track all information (e.g., prices, product descriptions, availability) updates. In addition, software engineers had to ensure high system resilience and seamless user experience.

To address these issues, the customer relied on our experience in delivering e-commerce projects. Our programmers built a complex logic for the backend with Python and Django, a framework, which simplifies the development of database-driven websites and works well with popular databases like MySQL, PostgreSQL, etc.

With the view of processing large volumes of data, our team enabled data parsing. Find out how Arateg helped the client address technical challenges and raise funds.

3. A web patient health portal

Industry: Healthcare

Challenge: Enable fast data analysis

We needed to solve a similar task described in the previous case when making a patient health portal for the leading medical organization based in the USA. Since a web system was intended to collect, store, and process sensitive data from numerous channels, high-speed information analysis had to be provided.

To address this challenge, our custom web development company enabled data parsing, employing RabbitMQ, Python, as well as BeautifulSoup, a Python package used to parse HTML and XML documents. Visit this page “A patient health portal for a large medical company” to read the project case study.

Summing it up

Python provides a variety of libraries and frameworks that assist teams in making complex web solutions faster and with fewer efforts. Appreciated for improved time-to-market, it was featured by different surveys (TIOBE Index, StackOverflow) as one of the best programming languages worldwide.

Using Python, you can build various types of projects that include artificial intelligence (machine learning, natural language processing, image and text recognition, etc.), custom web development (e.g., e-commerce, social networking, video streaming), data science, data analytics, scientific computing, and information security.

At Arateg, we employ Python to help startups address various issues, for instance, launch digital products more quickly while boosting performance. Using this technology, we increase the system scalability and resilience to high loads. Also, it allows our engineers to write innovative applications associated with AI and ML.

If you aim to make a web solution that will meet your objectives and/or need to choose the right technology stack, contact our team. We will get back to you within 1 business day. The consultation is free of charge!

Author: Andrew Volchek

Andrew Volchek is a Co-founder, CEO at Arateg Custom Software Development Company, focused on helping SMEs and startups work smarter, grow and increase productivity with the help of modern technologies. Contact him via email to discuss how to develop your IT project or solve a business challenge.  

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