The popularity of Python is dramatically increasing due to its powerful AI and ML capabilities, easy learning curve, and versatility to build robust and scalable software applications.
Python programming language is widely used in various trending technologies, including machine learning, artificial intelligence, data science, blockchain technology, and more, making it a robust programming language for learning.
In this blog, we will discuss the top 8 skills to look for in a Python developer. Python is best known for its extensive libraries, robust frameworks, and easy learning curve. Facebook, Nextflix, Intel, NASA, and JP Morgan Chase are a few examples of a Python developer. There has been a long debate on Java vs. Python when it comes to web app development.
Python is the most preferred programming language for developing large-scale web applications for businesses of all sizes. Investing in Python today can benefit an ambitious technocrat in the modern world. Let’s explore the top skills of a Python developer.
Table of Content
Who is a Python developer?
A Python developer refers to a software developer with a wide range of skills and expertise in building, managing, and refining software applications using Python programming language. Python is a general-purpose, high-level programming language that is easy to learn & use by everyone.
The use of a Python developer in various fields, ranging from machine learning, artificial intelligence, automation, data science, scripting, and web development.
What are Python developer skills?
Python developer skills include solid knowledge and expertise in a comprehensive range of Python frameworks, tools, and libraries to design and develop highly efficient software applications. Being the most popular programming language, Python can be used for hybrid mobile app development.
A talented Python developer must be skilled and experienced in various programming languages and personal skills to transform simple ideas into a powerful business app. Acquiring these skills can help Python developers enhance their productivity level to a greater extent and explore numerous opportunities for career enhancement.
As a dedicated Python developer, you must be able to:
- Write effective, testable, and reusable code.
- Create functionality-rich, scalable websites.
- Resolve data analytics problems.
- Implement data protection.
- Optimize data algorithms.
- Secure websites.
What does a Python developer do?
Python developers write code, develop, design, integrate, and debug software products, usually on the server side. Unlike CSS, HTML, and JS, Python is a general-purpose, high-level programming language for building robust and scalable web apps.
The design philosophy of Python focuses on code readability which allows software developers to write clear and concise code for both small and large-scale projects. Python can also be utilized for other programming applications in addition to web development, including but not limited to back-end development, software development, data science, etc.
Top 8 Python Developer Skills
The following are the top 8 skills every Python developer should have to design and develop highly scalable and functionality-rich web applications:
1. Solid knowledge of Python
A Python developer should have a strong knowledge of Python programming language and its core design principles. However, it can be difficult to test Python programming language sometimes. If you want to be thorough when interviewing your candidates, it’s important to ask the right questions.
During an interview, it is crucial to ask the right questions to ensure you are being thorough. In particular, ask about data structures, data types, exception handling, file handling, and generations you may be unfamiliar with. It is possible to tell whether someone knows what they are talking about with quick responses to these kinds of questions.
2. AI and Machine Learning
As a part of data science, we are talking about Machine Learning and Artificial Intelligence. All aspects of Data Science from a beginner’s perspective are expected, along with a strong understanding of Machine Learning algorithms.
A working knowledge of data acquisition, data analysis, data visualization, insight production, and wide knowledge of the Neural Network is necessary.
3. Expertise in Data Science
Data Science provides several opportunities for software developers. To deep dive into the subject, you need to know some prerequisite knowledge, such as Probability and Statistics, which were taught in high school.
It’s possible to reveal actionable insights using data science, math, statistics, advanced analytics, artificial intelligence (AI), and machine learning, combined with subject matter expertise.
The following are some of the most common aspects of data science;
- Use of Python packages like(NumPy, Scikit learn, MatPlotlib, etc) for Data Science.
- Data Wrangling and cleaning up of Data
- Good Knowledge of SQL.
- Visualization of Data
- Analysis of Data
4. Python Language Syntaxes
Programming languages define how to write a program using syntax, which is a basic building block. Python provides a number of syntaxes, including various elements such as data types (numbers, lists, dictionaries, booleans, and strings), variables, operators (logical, assignment, bitwise, and arithmetic), functions (definition, parameters, definition, return values, and calling), and control flow statements (if, else, for loops, while loops).
The importance of understanding syntax cannot be overstated when it comes to writing accurate Python programs that help you create well-structured code and perform smooth operations. Python developers must be skilled and experienced in Python language syntaxes to write clean, well-optimized code.
5. Understand Multi-Process Architecture
Software developers who use Python need a development architecture to keep the internals of their applications separate from users. Python provides Model View Templates (MVT) and Model View Controller (MVC) architectures for doing this.
Developers should have a basic understanding of the working environment in which their code will be deployed or released. Their understanding of its architecture will enable them to identify and solve problems in its core framework, leading to excellent results with a faster time to market.
6. Debugging Skills
Python is a beginner-friendly and easy-to-learn programming language for web and app development. Creating Python programs can sometimes produce unexpected results. It happens when you expect one thing but get another.
It can also occur when using range() and dividing a number by a negative number, resulting in a rounding error to the negative side, or when attempting to close a file. You need debugging in such situations to find out and fix possible errors in the Python program. You can use many modern tools and techniques to get to the bottom of the problem and fix it.
Debugging is among the most sought-after Python full-stack developer skills, as it enables developers to find and solve issues to maintain clean and fully functional code. It requires knowledge of printing variable values, stopping the execution of certain codes, changing the path of a program, and using debugging tools. Moreover, you must know how to find common errors, create debugging strategies, implement problem-solving techniques, and use print statements.
7. Object Relational Mapper (ORM)
It is a class of libraries that helps users move data from a relational database into Python objects more quickly. Using it within a programming language is possible because it creates a virtual object database that any program can access.
Their advantage lies in the fact that they provide the flexibility required to change to another relational database if necessary, thereby reducing the amount of time they spend on changeovers. Python developers can use ORMs instead of writing SQL code to build and update data schemas.
8. Version Control
It is essential for team collaboration on projects, to keep track of changes, and to ensure that previous progress is not lost through version control systems like Git. A Python developer must be skilled and experienced and know how to use Git for version control, manage code reviews within a team, and work with branches.
Furthermore, it’s important to familiarize yourself with leading platforms like GitLab or GitHub for easy handling.
Conclusion
The bottom line is that Python programming is the best career option since it provides several lucrative career opportunities and improvements in the future.
If you want to become a Python developer, it’s good to start with a reputed Python development company that offers pre-training on Python programming and its various web development frameworks. Wondering whether to start or not, now is the right time to start your career in Python and drive your career growth.
FAQs
What are the key skills for a Python Developer?
– Knowledge of Object-Oriented Programming.
– Proficiency with Python.
– Database Management.
– Artificial Intelligence.
– Machine Learning.
– Debugging Skills.
– API Integration.
– Version Control.
– Unit Testing.
What are the basic skills required to learn Python?
– Modules and packages.
– Multiple Data Types.
– Control structures.
– Dictionaries.
– Operators.
– Variables.
– Functions.
– Lists.
What makes a great Python developer?
With this solid knowledge, you can develop efficient and scalable code, which becomes increasingly important as data volumes and complexity increase.
