Learn to become a modern Python developer

According to the Lead, while Python isn’t Facebook’s main language, it made up approximately 21 percent of the infrastructure’s codebase of its platform in 2020 [6]. Given the size and scope of Facebook, that translates to thousands of libraries and millions of lines of code. Python handles the lifecycle of Facebook’s hardware, including everything from scheduling and automating maintenance to server imaging and network switch setup. Facebook parent company Meta also relies on Python to run Instagram python developer training and support data science and machine learning needs [8]. Additionally, Stack Overflow’s 2022 Developer Survey revealed that Python is the fourth most popular programming language, with respondents saying that they use Python almost 50 percent of the time in their development work [2] . Survey results also showed that Python is tied with Rust as the most-wanted technology, with 18% percent of developers who aren’t using it already saying that they are interested in learning Python [3].

Because Python has so many applications, Python skills can be valuable to a number of other job roles, even if you have only basic knowledge of how it works. We offer a wide variety of programs and courses built on adaptive curriculum and led by leading industry experts. Machine Learning Engineers are also responsible for taking theoretical data science models and helping scale them to production-level models capable of handling terabytes of real-time data. Python is most commonly used in big data centers, as well as a “binder” language between other languages. Google, NASA, Industrial Light & Magic and id Software all use Python because of its capabilities and expandability. Python is frequently used by Game Developers as the glue between C/C++ modules, or you can use it with PyGame to make a full-blown game.

What Skills Does a Python Developer Need?

Software Engineers’ day-to-day routines usually involve ensuring active programs run smoothly, updating programs, fixing bugs, and creating new programs. Software Engineers write for a wide variety of technologies and platforms, from smart home devices to virtual assistants. This will help you understand input/output handling, user interactions, and program flow. Object Oriented Programming, Functional Programming, and Logging are 3 of the foundational techniques you will use to write code more like a software engineer and bridge the gap between code for research vs. code for production. Python’s versatility, ease of use, and availability make it an attractive programming solution for many of today’s most used programs across the internet. In fact, you don’t have to go far to see Python in action, as you can see by the websites below that are among Python users.

python software engineer

Written in Python, Keras is a high-level neural network library that is easy to use and well-suited to machine learning and deep learning. Theano is a Python library useful for evaluating math computations that integrate tightly with NumPy. Embark on your journey by understanding the significance of Python in the software development landscape.

Python Developer Job Description

A Python Developer is responsible for coding, designing, deploying, and debugging development projects, typically on the server-side (or back-end). If you’re new to Python, you might consider building a foundation with Python for Everybody from the University of Michigan. Build job-ready skills and earn a credential for your resume with the Google IT Automation with Python Professional Certificate.

python software engineer

Being interactive is particularly helpful when you’re engaged in the debugging process, as you can see line-by-line results and quickly pinpoint errors. It’s also extremely helpful for Python Developers to be familiar with Object Relational Mapper (ORM) libraries, such as SQLAlchemy or Django ORM, which can help convert data between incompatible systems. In addition to layout and server-side responsibilities, Web Developers keep sites current with fresh updates and new content. Web Developers typically work in a collaborative role, communicating with management and other programmers to ensure their website looks and functions as intended. One of the major selling points of Python is the massive range of libraries available. A Python Developer should be well-versed in what’s out there and use available libraries to their fullest advantage.

Community

The introduction of Python 2.0 brought the language into its modern form in the early 2000s. Python code uses the “object-oriented” paradigm, so it’s usually the best option both for large-scale projects and smaller programs. Many Developers find that the Python programming language has a lot of features that give it an edge over other programming languages.

Ultimately, your role and responsibilities will likely vary depending upon the industry and organization that you find yourself working within.

Reviews from learners

Python has gained immense popularity due to its simplicity, versatility, and extensive libraries. Whether you’re a beginner or an experienced programmer looking to transition into Python development, this roadmap will guide you through the necessary steps to become a proficient Python Software Developer. Python is among the easiest programming languages to learn because it prioritizes readability and relies on a syntax that’s much like the commands of the English language.

python software engineer

It tends to be better for creating graphics, building statistical models, and utilizing its robust ecosystem of statistical packages. As an open-source, community-based programming language, Python has a wide range of libraries available, and these resources can simplify your life as a Python Developer. Different projects will require different libraries, but it is a good idea to familiarize yourself with some of the most common, including Pandas and NumPy. This increase in demand is partly down to the popularity of the Python programming language itself. If you’re not actively employed and building your portfolio on a day-to-day basis, take this time to come up with ideas for projects that you can execute and later add to your GitHub.

Software Engineering in Python I

That way, you’ll develop your portfolio and master Python under the supervision and tutelage of an industry professional who knows exactly what employers are looking for. And because it’s relatively straightforward, some courses promise they can make you a Python professional in as little time as 25 hours. Data analysts collect, organize, and interpret data to create actionable insights. To accomplish this, Data Analysts must collect large amounts of data, sift through it, and assemble key sets of data based on the organization’s desired metrics or goals. Because the potential applications of Python are broad, a Python Developer’s job role and responsibilities tend to be similarly broad.

python software engineer

Move on to building graphical user interface (GUI) applications using libraries like Tkinter or PyQt. These frameworks simplify the process of building robust and scalable applications. Dive into algorithms, data structures, design patterns, and clean code practices. Developers use Python for everything from system building to system administration, and Google has always considered it among its most vital languages. The company’s motto, “Python where we can, C++ where we must,” describes just how much the teams rely on this versatile programming language.

You will be required to know Python Frameworks to become a Python Developer, but like the libraries mentioned above, what you work with will depend on your project. Some of the most common Python Frameworks, however, include Django, Flask, and CherryPy, among others. Like most programming positions, the specifics of this job vary based on the needs of your employer. Some Python Developers work as independent contractors instead of being exclusive to one company.

  • One surefire way to develop your skills with the Python programming language is to work on Python projects.
  • Machine Learning Engineers are also responsible for taking theoretical data science models and helping scale them to production-level models capable of handling terabytes of real-time data.
  • In these roles, you may create an application for your employer, design the framework for your code, build tools as necessary to get the job done, create websites, or publish new services.
  • And Scrapy is an open-source framework written in Python that crawls web pages and extracts data from them.
  • Google, NASA, Industrial Light & Magic and id Software all use Python because of its capabilities and expandability.

Leave a Comment

Your email address will not be published. Required fields are marked *