A Python Developer is a person who writes computer programs using the Python programming language. They work on projects that involve building, designing, and fixing problems in software systems that run on servers. Sometimes they also help companies with their technology setup.
A Python Developer may have a variety of tasks in a day. This could include creating applications, designing code structures, building tools, developing websites, or adding new features to existing systems. Some Python Developers work for themselves, while others work for a specific company. The job duties of a Python Developer can vary depending on the employer’s needs.
Python is a widely used programming language.
It is a requirement in many tech jobs, such as Software Engineer, Web Developer, Data Scientist, and Business Analyst. A Python Developer has a higher level of expertise in the language. They can use it for many daily tasks, such as data collection, analytics, database creation, web development, scripting, and automation.
Python Developers often work with data analysts to provide useful insights by analyzing data. Companies in sectors such as education, healthcare, and finance are utilizing Python to develop machine learning tools to help them progress.
Major corporations such as Netflix, Google, Facebook, Reddit, YouTube, and Instagram all make use of the programming language Python. For instance, Spotify uses Python to capture user data for accurate recommendations and playlists. Dropbox uses Python to create its own programs. These programs work on a variety of platforms, such as Windows, macOS, Linux, iOS and Android.
What to expect as a Python Developer
Python Developer has many different tasks that they can do because Python is a versatile programming language. Their job responsibilities can vary depending on the project they are working on.
A Python Developer’s job description may include tasks such as:
- Designing and creating websites and applications
- Writing Python code that is reusable efficient, and can be tested
- Integrating data storage solutions
- Creating integrative systems
- Understanding the requirements of end-users and incorporating them into user-facing elements.
Popular Tools and Technology Used by Python Developers
Python is a versatile programming language. It has many uses, giving Python Developers an abundance of tools to get their work done. These tools can be divided into several categories based on what they are used for.
Python developers, Machine Learning Engineers and Data Scientists often use open-source tools such as Scikit-Learn, Keras, Theano, and SciPy. These tools help with a range of tasks.
- Scikit-Learn is a tool used for data mining and analysis that many professionals in the field highly recommend.
- Keras is a neural network library that’s easy to use and is designed for machine learning and deep learning tasks.
- Theano is a Python library that can help with math computations and is especially useful when combined with NumPy.
- SciPy is a tool that’s frequently used for scientific and technical computing.
Selenium is a popular tool among Python developers. It allows them to write code in various programming languages such as C#, PHP, Perl, Ruby, and Java. With Selenium, you can test web pages on any kind of computer – Windows, Mac, or Linux.
Robot Framework is another tool that can be used for testing software. It can test web apps, as well as iOS and Android apps. It’s free and can be used for testing any software, but it can be more difficult to use than Selenium.
TestComplete is another tool for testing software. Unlike Selenium and Robot Framework, it is not free and requires payment.
LXML is a tool written in Python that has many features and can be used with C libraries. Beautiful Soup is a Python library that can help you save time on projects such as screen-scraping. Scrapy is an open-source framework written in Python. It is used for crawling web pages and extracting data from them.
What Are the Essentials Skills Required for a Python Developer?
While the specific duties may differ, there are some fundamental abilities that an individual must possess to become a Python Developer.
A Python Developer must have expert-level proficiency in Python.
This surpasses the basic understanding of Python that other professionals in data science, web development, or related fields may have. A Python Developer must gain knowledge of object oriented programming to succeed. They must understand the basics of Python syntax and semantics. Additionally, they must become proficient in primitive data types and arithmetic operators.
Python has a lot of useful libraries that a Python Developer can use to create great programs. To take full advantage of these libraries, a Python Developer should know what they are and how to use them.
They should become familiar with popular Python libraries, such as Pandas and NumPy. One way to do this is to explore the Python Package Index (PyPi). This should be the first step.
Python Developer should know about different frameworks that can help them with their work. These frameworks can be very useful for different tasks. There are several well-known frameworks for web development, such as Django, Flask, CherryPy, web2py, TurboGears, and Grok, which also provide object-relational mapping libraries.
Object Relational Mapper (ORM) libraries, like SQLAlchemy or Django ORM, make it easier for a Python Developer to work with databases. Instead of writing SQL code to create or change data and database designs, a Python Developer can use Python code with the help of ORM libraries.
What Career Opportunities You Get With Python
A professional who knows how to use Python can have different job titles such as Python Developer, Data Scientist, or Machine Learning Engineer. Your specific job duties will depend on the company and industry, but generally you will use Python to create websites or applications, work with data, or develop AI.
Python is often used in big data centers and as a “glue” language between other programming languages. Many big companies like Google, NASA, Industrial Light & Magic, and id Software use Python because it’s very capable and can be expanded easily. Game Developers use Python to connect C/C++ modules or create games with PyGame. Python is also popular among Scientists and Statisticians who use libraries like SciPy and Pandas.
Python programming skills are in high demand, and many jobs that require these skills pay well. Python has been one of the most in-demand technologies since 2018 as surveyed by StackOverflow.
In 2020, Python was the fourth most popular programming language among professional software developers, and it was also the most in-demand language in the job market.
Web Developers usually specialize in either “front-end” or “back-end” development. The most in-demand professionals are “Full-Stack Developers,” who work in both areas. Web Developers not only design the layout and server-side functions of a website but also keep it up-to-date with new content and updates. They work closely with management and other programmers to ensure the website works properly and looks good.
Python Developers usually work on the server side of a website or application. They may write logic or develop the platform and are in charge of deploying applications. Python Developers collaborate with development and design teams to create websites or applications that meet the user’s requirements. They also help Front-End Developers by integrating their work with the Python application.
Software Engineers have similar responsibilities to Developers, including writing, testing, and deploying code. They need to integrate applications, debug programs, and improve and maintain software. Software Engineers typically work on ensuring active programs run smoothly, updating programs, fixing bugs, and creating new programs. They write code for a range of technologies and platforms, from smart home devices to virtual assistants.
Data analysts gather, arrange, and explain data to generate useful insights. They do this by gathering a large amount of data, sorting through it, and selecting important data based on what the organization wants to achieve. They use Python libraries to analyze and interpret the data, creating visual representations of the findings that can be easily understood by the organization.
Analyzing data with Python is an essential skill for Data Analysts. You need to learn from the basics of data analysis with Python to building and evaluating data models.
Data Scientists have a broader set of skills than Data Analysts, which include computer science, mathematics, statistics, and modeling. They also need to have a deep understanding of their business and industry to identify new opportunities and strategies.
Data Scientists have a wide range of responsibilities. They analyze data and use machine learning to create statistical models and data structures. These models and structures bring benefits to their organization.
To start your career journey as a Data Scientist it is ideal if you have some basic of Python.
If you want to explore beyond data analysis, you can choose to specialize in machine learning, which is a part of artificial intelligence and data science. A Machine Learning Engineer is responsible for interpreting data and constructing algorithms designed to facilitate AI applications.
Machine Learning Engineers are also accountable for taking data science models and scaling them up to production-level models that can handle real-time data in terabytes
Python is versatile and has many applications, which can span a wide variety of duties for a Python Developer. Python is a popular programming language. It is used for many purposes, such as web development, machine learning, artificial intelligence, scientific computing, and academic study. A Python Developer must have mastery of Python, knowledge of available frameworks, and Object Relational Mapper libraries.
There are many job titles that require Python programming skills, such as Python Developer, Data Scientist, and Machine Learning Engineer.
It is important to take your career journey as a Python Developer seriously. Begin at the entry-level of general-purpose programming. Then progress to the associate level. Finally, reach the professional level suggested by Python Institute.