According to TechRepublic, a Python developer is one of the “10 Most In-Demand Tech Jobs of 2019,” thanks to the rise in AI and Machine Learning technologies. Last month, Indeed.com reported that the average salary for a Python developer in the United States is $123,201 per year, making it one of the most popular and lucrative tech careers out there today.
Although it's a high-level language and performs complex tasks, Python is easy to learn and has a clean syntax. It’s great for both beginners and experienced programmers, and one of the best ways to master Python is to enroll in coding bootcamp.
Python is one of the most loved programming languages by developers, data scientists, software engineers, and even hackers because of its versatility and flexibility. Many of the web and mobile applications we enjoy today rely on Python's abundant libraries and framework, such as the Django web framework. Because of this, Python is great for building everything from personal projects to enterprise web services.
When it comes to becoming a developer, learning Python is high on the list of to-do's. To understand this dynamic language on a deeper level and learn it’s most popular uses, we’ve compiled a list of the top 7 reasons to learn Python!
Python has the upper hand when it comes to supporting a number of programming paradigms like object-oriented programming, functional programming, empirical programming, and structured programming. This means it can be adapted to suit different programming styles and can be used in a wide variety of projects. It also has automatic memory management, which makes it a lot easier to pick up than similar programming languages. Python's flexibility and memory management capabilities means that beginner programmers can get up to speed on Python fairly easily, and try out its capabilities on a wide variety of projects.
Python code is easy to test automatically, which allows developers to ensure that bugs and errors don’t reach end users. It also has a popular unit test framework called "PyUnit" that assures your code works as expected, as well as providing in-depth reporting. Its impressive string manipulation and east shell access make it a great tool for smooth automation of repetitive tasks.
Another amazing feature of Python is Data Extraction or Web Scraping. Python has many web scraping tools (e.g., BeautifulSoup> and Requests) and frameworks (e.g. Scrappy) that can efficiently retrieve online data or webpage content. it also has a robust, standard library suited to do various tasks in addition to data extraction. Also, web scrapers are convenient for machine learning projects, data retrieval, SEO ranking, marketing and sales campaigns, e-commerce data collection, and more.
As Artificial Intelligence grows in popularity and usage, many data scientists are relying on Python to conduct AI research. This is largely because Python can be used across domains and technologies, a huge advantage when conducting this type of research.
According to Cuelogic, a company that develops software globally to help startups, “Python has Prebuilt Libraries like Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning (Python Machine Learning) making it one of the best languages for AI and Data Science.”
Python is an immensely useful tool, for both web applications and internet development. Python applications and products have changed the way we build and design things.
For example, Python web frameworks (e.g., CherryPy, Django, Flask, etc.) provide developers with extensive libraries and modules, making their work easier. Python speeds up content management, database access, error tracking, profiling, data authorization, and other crucial processes.
Because of its compatibility with multiple systems and platforms, Python is very popular for application development. Here are 16 famous companies that use Python:
Python’s interface connection with databases allows users to observe how databases are created and edited in real time, how databases they can be embedded in applications, and how databases operate on data.
Python lives up to its name when it comes to strong cybersecurity. With popular third-party libraries (e.g., Nmap, Yara, Requests, etc.) to choose from and support from major tech companies, you can be sure they are resilient to the latest security threats.
At Coding Dojo, we offer a wide range of online and onsite courses to learn Python. Here are the topics and technologies we offer to help students become excellent Python developers.
TECHNOLOGIES: Python • MySQL • Flask • Ajax • APIs • Django
TOPICS: OOP in Python • SQL Queries & ER Diagrams • Web Security Basics • CRUD Operations • MVC Frameworks & Design Patterns • Application Deployment • Algorithms in Python • Test-driven Development
If you’re interested in learning more about web development, visit our website: www.codingdojo.com
This post was sponsored by Coding Dojo.
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Coding Dojo has multiple in-person campuses located across the continental United States, as well as an online program that offers real-time instructor support. The full, 3-stack curriculum requires 14 weeks of on-site instruction, while the part-time, online program teaches students 2 stacks in a flexible, 20-week bootcamp.