Hire Dedicated Python Developer – Description & Benefits

Python is a programming language which is utilised for a wide range of programming tasks, like machine learning (ML), artificial intelligence (AI), data visualisation and analytics. However, its utility doesnt stop here. Python is used for the programming of apps, quantity and quality analysis, web development, graphic design apps, and game development. It also helps create new languages for programming.

The world is seeing an increase in the reliance on ML and AI to tackle the growing complexity of web development. These two factors are the top contributors in the demand for Python language developers.

In this article, we will cover this unique programming language align with what a Python developer does, what qualities should you look for in an efficient python developer, along with many more important points.

What is a Python Developer?

Simply put, python developers create, code, and execute development project using Python language. They are also charged with the responsibility of debugging these projects to maintain their original function.

As a Python developer, you’ll collaborate closely with various teams, such as data collection and analytics, to answer questions and provide insights. The projects you’ll work on can range from application development to machine learning and AI.

Mastering Python opens up numerous job opportunities across different industries. Your specific role and responsibilities will vary depending on the industry and organization you work in. While many tech jobs rely heavily on Python—like Software Engineer, Web Developer, Data Scientist, and Business Analyst—a Python Developer is expected to have an in-depth understanding of the language and be capable of tackling a wide range of tasks. These tasks might include data collection and analysis, database creation, web development and design, scripting, and automation.

Python developers often work hand-in-hand with data collection and analytics teams to generate meaningful answers to complex questions and deliver valuable insights.

Python’s versatility makes it a key tool in web development, machine learning, AI, scientific computing, and academic research. Its popularity has surged, largely due to the growing data science community’s embrace of AI and machine learning. Industries such as education, healthcare, and finance are leveraging machine-learning applications to drive innovation.

Python’s widespread use is evident in companies like Netflix, Google, Facebook, Reddit, YouTube, and Instagram. For example, Spotify uses Python for its back-end services, capturing user data to provide personalized recommendations and playlists. Similarly, Dropbox employs Python scripts to build native applications across various platforms, including Windows, macOS, Linux, iOS, and Android.

Roles and Responsibilities of a Python Developer

A Python Developer’s role can cover a wide range of responsibilities due to the versatile nature of Python. Consequently, the duties associated with this position are often diverse.

A typical Python Developer job description may include responsibilities such as:

• Designing and developing efficient websites and applications
• Writing reusable, testable, and efficient Python code
• Integrating data storage solutions
• Creating and maintaining integrative systems
• Integrating user-facing elements while considering end-user needs

Tools Python Developer Use

The reason why Python is so popular is because of its versatility that allows developers to use a wide range of tools, which can be categorized based on their applications:

Data Science Python Tools

Scikit-Learn is a highly regarded open-source tool used by Python Developers, Machine Learning Engineers, and Data Scientists for data mining and analysis. Keras, a high-level neural network library written in Python, is user-friendly and ideal for machine learning and deep learning tasks. Theano is another valuable Python library, useful for performing complex mathematical computations, especially when combined with NumPy. For technical and scientific computing, SciPy is a go-to tool.

Automation Testing Python Tools

Selenium is a popular choice among developers, as it allows the writing of scripts not only in Python but also in languages like C#, PHP, Perl, Ruby, and Java. It enables testing across different browsers and all major operating systems. Robot Framework, an open-source test automation framework, is designed for acceptance testing and supports automation for web apps as well as iOS and Android platforms. TestComplete, another automation testing tool, requires a commercial license and is widely used for similar purposes.

Web Scraping Python Tools

LXML is a powerful tool for processing XML and HTML in Python, built on top of C libraries. Beautiful Soup is a Python library that simplifies web scraping by parsing HTML and XML documents. Scrapy is an open-source Python framework that excels at web crawling and data extraction, making it a popular choice for web scraping projects.

Important Skills for a Python Developer

While specific responsibilities may differ, certain foundational skills are essential for anyone aspiring to become a Python Developer:

• Python Proficiency: A Python Developer must have a deep understanding of Python, surpassing the familiarity that colleagues in fields like data science or web development might have. Essential skills include object-oriented programming, mastering Python’s syntax and semantics, and understanding primitive data types and arithmetic operators.
• Knowledge of Python Libraries: One of Python’s greatest strengths is its extensive range of libraries. A Python Developer should be adept at leveraging these libraries to their full potential. Start by exploring the Python Package Index (PyPi) and getting to know widely used libraries such as Pandas and NumPy.
• Familiarity with Python Frameworks: A Python Developer needs to be well-versed in various frameworks that can streamline different tasks. Key frameworks to know include Django, Flask, CherryPy, web2py, TurboGears, and Grok.
• Understanding ORM Libraries: Object Relational Mapper (ORM) libraries, such as SQLAlchemy or Django ORM, are crucial tools for a Python Developer. These libraries allow developers to write Python code to manage data and schemas in a database, eliminating the need to write SQL.

Tips to Hire a Good Python Developer

When hiring Python developers, several key factors should be considered to ensure you find the right fit for your project or team:

• Technical Expertise: Assess the developer’s proficiency in Python, including their understanding of Python’s syntax, libraries, and frameworks. Evaluate their experience with popular libraries like Pandas, NumPy, or Django, and their familiarity with Python frameworks and ORM libraries.
• Problem-Solving Skills: Look for developers who can demonstrate strong problem-solving abilities. They should be able to tackle complex problems and devise effective solutions using Python. Consider asking them to solve coding challenges or present past projects to gauge their problem-solving skills.
• Experience and Portfolio: Review the candidate’s previous work experience and portfolio. Look for projects that are similar to your needs, whether they involve web development, data analysis, or machine learning. A diverse portfolio can indicate versatility and a solid understanding of various applications of Python.
• Knowledge of Best Practices: Ensure the developer is familiar with best practices in Python development, including code quality, testing, version control, and documentation. They should adhere to standards for writing clean, maintainable code and be comfortable using tools like Git for version control.
• Understanding of Related Technologies: Python often integrates with other technologies. Check if the developer has experience with related tools and technologies, such as databases (SQL or NoSQL), front-end technologies (HTML, CSS, JavaScript), or cloud services (AWS, Azure).
• Soft Skills: Evaluate the developer’s communication skills, teamwork, and ability to work with other team members, including designers and project managers. Effective communication and collaboration are essential for the smooth execution of projects.
• Adaptability and Learning: Consider the developer’s ability to learn new technologies and adapt to changing requirements. The tech industry evolves rapidly, so a willingness to stay updated with the latest developments in Python and related technologies is important.

Pros of Using Python

Python is an incredibly versatile programming language, often considered one of the best for tackling a wide range of challenges. Here are some of the key advantages of using Python:

Easy to Learn

Python is one of the most beginner-friendly programming languages, thanks to its focus on readability and a syntax that closely resembles English. Compared to languages like Java or C++, Python requires fewer lines of code to accomplish the same tasks, making it easier to learn and use.

High Popularity

Python is extremely popular among developers. The PYPL (PopularitY of Programming Language) Index ranks Python as the most-searched programming language on Google for tutorials. According to Stack Overflow’s 2022 Developer Survey, Python is the fourth most popular programming language, with nearly 50% of respondents using it regularly. Additionally, Python is tied with Rust as the most-wanted technology, with 18% of developers who aren’t currently using it expressing a desire to learn it.

Open-Source Language

Python is open-source, meaning you can download and use it for free. You can also access the source code, modify it, and distribute your version. This flexibility is invaluable if you need to tailor specific aspects of the language for your development projects. Moreover, Python’s development community is highly supportive, offering assistance and resources through a vast network of developers, scientists, and designers.

Extensive Support Libraries

Python comes with a robust Standard Library that provides solutions for a variety of challenges. For instance, NumPy offers tools for numerical calculations, while Pandas is ideal for data analytics. If the Standard Library doesn’t have what you need, there are many other Python libraries available to assist you.

Portability and Interactivity

Unlike languages such as C and C++, Python code can run on multiple platforms, including Windows, macOS, and Linux, without requiring changes. Its interactive nature is particularly beneficial during debugging, allowing you to see results line-by-line and quickly identify errors.

Boosts Productivity

Python’s object-oriented design enhances productivity by allowing developers to use pre-existing objects, which speeds up application development and prototyping. Python also offers strong process control, excellent integration capabilities, and a unit testing framework, making it an efficient language for developers.

Cons of Using Python

Just like every coin has a flip side, python with all of its advantages has some disadvantages as well. Let’s briefly discuss some of it drawbacks as well.

Slower Runtime

One of the main disadvantages of Python is its slower runtime compared to compiled languages like C and C++. This can become a significant issue for large projects with extensive codebases, where execution speed is critical. Python’s interpreted nature and dynamic typing, which checks code during execution, contribute to this slower performance. However, many developers find that the ease of writing code in Python compensates for the execution delays.

High Memory Usage

Python can consume a considerable amount of memory due to its flexible data types and automatic garbage collection. This can be problematic for applications with high memory demands.

Less Ideal for Mobile App Development

Python is not commonly used for mobile app development due to its memory inefficiency and slower processing speed. While it is possible to develop mobile apps using Python, frameworks like Kivy can help, but the language is generally not the first choice for mobile computing.

Database Access Limitations

Python is highly regarded for web development but is less popular in enterprise environments, partly because its database access capabilities are limited compared to other technologies like ODBC. This limitation can affect its suitability for large-scale enterprise applications that require robust database interactions.

Careers in Python Development

Professionals specializing in Python can hold various job titles, such as Python Developer, Data Scientist, or Machine Learning Engineer. The specific tasks you’ll perform depend on the industry, company, and role, but generally, you’ll be using Python to develop websites and applications, manage data, or work with AI.

Python is widely used in big data centers and as a “glue” language that connects different languages. It’s favored by organizations like Google, NASA, Industrial Light & Magic, and id Software due to its versatility and scalability. Game Developers often use Python to connect C/C++ modules or to create complete games using frameworks like PyGame. Additionally, Python is popular in the scientific community, especially among Scientists and Statisticians who use libraries like SciPy and Pandas.

Python skills are in high demand across various industries, which typically leads to high-paying job opportunities. Employers are often willing to offer competitive salaries because finding skilled Python professionals can be challenging.

According to Stack Overflow’s Developer Survey, Python has been one of the most in-demand technologies from 2018 through 2020. As of 2020, it ranks as the fourth most popular programming language among professional developers and the top most-wanted language.

Web Developer

Web Developers typically focus on either “front-end” (client-side) or “back-end” (server-side) development, with some professionals, known as “Full-Stack Developers,” handling both areas. They are responsible for designing and maintaining websites, ensuring they are up-to-date with fresh content and functionality. Web Developers often collaborate with management and other programmers to ensure the website operates and appears as intended.

Python Developer

Python Developers mainly work on the server side, writing logic and developing platforms. Their responsibilities include deploying applications and collaborating with design and development teams to create websites or applications that meet user needs. They also integrate the work of Front-End Developers with Python applications.

Software Engineer

Software Engineers write, test, and deploy code, much like developers. Their tasks include integrating applications, debugging programs, and maintaining software. They work on various technologies and platforms, from smart home devices to virtual assistants, ensuring that programs run smoothly, fixing bugs, and developing new software.

Data Analyst

Data Analysts gather, organize, and interpret data to generate actionable insights. They handle large datasets, analyze them, and create visualizations to present findings in a useful way. Data Analysts use Python libraries to perform data analysis, parse data, and produce meaningful reports.

Data Scientist

Data Scientists have a more advanced skill set, combining computer science, mathematics, statistics, and industry knowledge to identify new opportunities and strategies. They analyze data, develop statistical models, and design data structures, often utilizing machine learning to enhance their analyses.

Machine Learning Engineer

Machine Learning Engineers focus on applying machine learning and artificial intelligence techniques. They perform statistical analyses, implement machine learning algorithms, and scale data science models for production use, handling large volumes of real-time data. They bridge the gap between theoretical models and practical, scalable solutions.

Python Use Cases

Python’s versatility, ease of use, and wide availability make it a popular choice for many major internet programs. Here are some prominent examples of how Python is used:

Google

Python plays a crucial role at Google, from system building to administration. The company has long valued Python, reflected in their motto, “Python where we can, C++ where we must.” Python is used in core search algorithms, APIs, and Google App Engine. Guido Van Rossum, Python’s creator, worked at Google from 2005 to 2012, highlighting the language’s importance to the company.

YouTube

With over 2.5 billion active users monthly and 1 billion hours of video watched daily, YouTube relies heavily on Python. The language helps manage video viewing, website templates, and data access. Python’s efficiency allows developers to quickly create and refine features, making it an integral part of the YouTube experience.

Facebook

While Python isn’t Facebook’s primary language, it constituted about 21 percent of the platform’s codebase in 2020. This amounts to thousands of libraries and millions of lines of code. Python manages various aspects of Facebook’s infrastructure, including hardware lifecycle, maintenance scheduling, and server management. Facebook’s parent company, Meta, also uses Python for Instagram, data science, and machine learning tasks.

Netflix

Netflix developers have the freedom to choose their coding languages, but many opt for Python due to its clean syntax and robust community. Python is used in many Netflix projects, including Chronos, Chaos Gorilla, and its regional failover system, which has improved outage response times from 45 minutes to seven minutes without increasing costs.

Why AKAL for your Python Development Needs?

At AKAL, we pride ourselves on being the premier choice for Python development. Here’s why:

• Expert Python Developers: Our team of Python developers possesses deep expertise in the language and its ecosystem. From core Python skills to advanced libraries and frameworks, we ensure our developers are proficient in the latest tools and best practices.

• Proven Track Record: AKAL has a proven track record of delivering high-quality Python solutions across various industries. Whether it’s web development, data analysis, or machine learning, our portfolio showcases our ability to handle complex projects and deliver results that exceed expectations.
• Strong Problem-Solving Abilities: Our developers excel in problem-solving, with a knack for tackling complex challenges and finding innovative solutions. We approach each project with a strategic mindset, ensuring that we address both immediate requirements and long-term goals.
• Tailored Solutions for Your Needs: We offer customized Python development solutions designed to meet your unique needs. Whether you require a full-scale application, a data analytics tool, or an automation script, we tailor our approach to deliver the best outcomes for your project.
• Reliable and Timely Delivery: We are committed to delivering your project on time and within budget. Our structured project management processes ensure that we meet deadlines and manage resources effectively, providing you with reliable and timely results.
• Strong Client Focus: Our client-focused approach means we prioritize your satisfaction and success. We work diligently to understand your objectives, provide transparent progress updates, and ensure that our solutions align with your business goals.

Choosing AKAL means partnering with a dedicated team of Python experts who are committed to delivering excellence and driving your project to success. Schedule a call with us today!

FAQs about Python Developer