Learn about the significance of Python in today's job market and the diverse applications of Python skills in various fields such as data science, AI and machine learning, web development, game development, and enterprise applications. Discover related Python training options including Django/Django REST, Git/GitHub, SQL, and data visualization, and how these skills can enhance your career prospects.

How Does Learning Python Compare with Other Skills?

Learning Python programming rarely happens in a vacuum. The most successful beginners typically master Python fundamentals as part of a broader development or data science curriculum.

Learning about complementary and related skills before Python training can help you make more informed decisions about how and where you want to use your new skills. It can also help you decide whether or not learning a specific skill is right for you.

Read on to learn more about related Python training options such as:

• Django/Django REST
• Git/GitHub
• SQL
• Data visualization

What is Python?

Python is one of the fastest-growing programming languages on the planet. Data Scientists, Web Developers, and other tech professionals use Python for a range of tasks—from building websites to data analysis, automation, and machine learning. Like Java and Ruby, Python is mainly an object-oriented programming language (OOP), which means it organizes around data (objects) instead of functions or logic.

Thanks to its straightforward syntax, adaptability, and the urgent need for Python skills in today’s job market, this essential language ranks as the number one choice for those learning to code. The U.S. Bureau of Labor Statistics predicts the average growth rate for Web Developers will be 13% between 2020 and 2030, and many of these positions require Python expertise. Other fields requiring Python include cybersecurity, software engineering, and business analysis.

Read more about what Python is and why you should learn it.

What Can You Do with Python Skills?

Python is a versatile language with a host of applications, but the most well-known include:

• Data Science - Data science extends to numerous industries, and using Python to understand data is paramount. Python libraries like NumPy and Matplotlib enable Data Scientists and other professionals to use visualization to gain insights into data. Additional top Python libraries include TensorFlow, SciPy, Pandas, and Scikit-learn.
• Artificial Intelligence (AI) & Machine Learning (ML) - Machine Learning Engineers and Architects use Python to build models. At the same time, AI Engineers and Architects may need this essential programming language for everything from assessing AI solutions to advanced automation.
• Web Development - The use of Python in web development goes back to its beginnings. Frameworks like Django and Flask have famously provided web development for well-known companies like Instagram, Dropbox, and Pinterest. Tech pros, including Developers, report that Python is easy to integrate with other languages like C/C++ and Java. Other top frameworks include Bottle, CherryPy, and Dash.
• Game Development - Frameworks for game development include Pygame, PyKyra, and Panda3D, but there are numerous others. Python continues to support the gaming industry in meaningful ways.
• Enterprise Applications - Enterprise-grade apps built with Python include leading technology stacks like Netflix, Microsoft, and Spotify.

Skills Related to Python

Many Python professionals learn this open-source programming language as part of a development or data science program. Python Developers might need to master SQL, Django, and Git, while Data Analysts may have to learn Tableau, Power BI, or other data visualization tools.

The tools and techniques tech pros learn may not be related to a particular programming language. Instead, organizations hiring workers with Python expertise also need them to know these other tools for a specific position. Read on for more about some of these skills.

Django

Among popular Python frameworks, Django is one of the most essential. Developers use Django for back-end programming, whereas data science professionals use it for data analysis. Tech pros can also use Django for automating tasks.

One aspect of Django essential to learning is the difference between it and Django REST. Many development pros regard Django as one of the best frameworks for web app development. So why Django REST, and what is it?

REST is an abbreviation for REpresentational State Transfer. You can use REST to build an Application Programming Interface (API). While Django is perfect for front end and back-end applications, Django REST offers an easy way to build a back-end REST API.

Python beginners who want to work in the web or software development field should consider learning Django and Django REST as part of a broader development program. Noble Desktop's Python Developer Certificate program is a perfect example. In this in-depth series of bootcamps, participants learn Python, Django, SQL, and other related tools and skills. Applicants should know basic HTML/CSS fundamentals before enrolling.

Git

If you want to work on Python projects, Git and GitHub offer a seamless process for collaboration with fellow development professionals.

GitHub is a popular hosting service trusted by professionals worldwide, from Pinterest to Mercedes-Benz. While GitHub offers paid services for teams and large enterprises, it also hosts a free, open-source community perfect for individual development pros and small organizations.

Throughout this vast community, millions of developers share Git repositories. Git is an open-source distributed version control system (DVCS) for tracking code changes. In short, Developers use GitHub to manage their Git repositories. To better understand the difference, remember that Git is the software, and GitHub is a service.

Like Django, you can learn Git and GitHub as part of a broader web development or software engineering curriculum. The Noble Desktop Python Developer and Software Engineering Certificate programs include Git/GitHub training.

SQL

Structured Query Language, or SQL, is a standard programming language used to extract and process data. Top SQL databases include:

• Oracle
• MySQL
• PostgreSQL
• Microsoft SQL Server
• MongoDB

If you want to sort and analyze database information, you will likely need to use a standardized language of this type. Filtering, grouping, and extracting information are all part of the process.

Python beginners interested in learning SQL often get training through an immersive bootcamp. Noble Desktop offers an SQL Server Bootcamp appropriate for business or data analysis pros. They also host a separate SQL Bootcamp available for similar purposes.

Many tech professionals learn SQL alongside Python as part of a broader development or data science curriculum. For example, a Python Developer might get training in the Python Developer Certificate. Data science analysis pros can save by taking the SQL Bootcamp as part of Noble’s Data Analytics or Data Science Certificate. Check course listings for details, including any prerequisite information.

Data Visualization

While data analysis is essential to many Python-centered positions, tech pros sometimes want to analyze data without writing queries or coding. That is precisely where business intelligence (BI) and data visualization platforms come in.

Tableau and Power BI are two of today's top data visualization tools. Power BI is a Microsoft product, whereas Salesforce acquired Tableau in 2019. Each has its advantages and drawbacks, but major corporations like Nissan, Verizon, and Adobe use one or the other. Noble Desktop hosts both Power BI and Tableau bootcamps, but students can save by learning data visualization as part of their Data Analytics Certificate program.

Learn Python Skills with Noble Desktop

Noble Desktop offers multiple ways to learn Python, both in-person and online, through teleconferencing. They provide Python training as an essential component of data science and analytics, FinTech, cybersecurity, and web development. Their Python Programming Bootcamp offers hands-on Python training in an immersive environment. Beginners learn Python fundamentals in this 30-hour bootcamp, where participants develop project-based coding portfolios. Graduates receive a verified Certificate of Completion and can retake the course for up to a year at no additional charge.

Students can save by taking the Python Programming Bootcamp as part of Noble’s Python Developer Certificate program. The curriculum for this certificate includes a 60-hour unit on Python Web Development with Django. In this intensive course, you’ll learn about URL dispatchers and automation, along with GitHub and SQL. Attendees should have some experience with HTML and CSS before enrolling.

Additional courses featuring Python include Noble Desktop’s Python for Data Science Bootcamp, FinTech Bootcamp, and Data Science Certificate program. Students planning careers in data science, data analytics, cybersecurity, or financial analysis should consider enrolling in one of these programs to get comprehensive Python training.

Key Takeaways

• Python is one of the world’s fastest-growing programming languages.

• Python is an open-source language, so users get free access to its international support community.

• Skills related to Python include:

- Django & Django REST

- Git & GitHub

- SQL/MySQL/PostgreSQL

Data visualization tools like Power BI and Tableau

• You can receive comprehensive training in Python and related skills in person or online through Noble Desktop. Top courses include:

- Python Developer Certificate

- Software Engineering Certificate

- Data Analytics Certificate