Python is one of the most widely used and sought-after programming languages in the industry. There are many skills one needs to learn to become a good Python Developer. Here we are going to discuss top python developer skills that one will require to be a Better Python developer.
Table of Contents
Top Python Developer Skills
1. Expertise in Core Python
The developer should have an excellent knowledge of Core Python. One should know the concepts of core python and its aspects are:
- Exception Handling
- File handling concepts
- Data types and variables
- OOPs Concepts
- Data Structures
2. Sound Knowledge of Web Frameworks
3. Object Relational Mappers
An object-oriented Programming language is used for the conversion of data between two systems that are incompatible, and that technique is called Object Relational Mapper (ORM). From any programming language, a virtual object database is created by Object Relational Mappers. Programmers also use many customizable ORM tools.
4. Skills of Data Scientists
A Python developer can grow very much in the field of Data Science by having a good grasp in the popular aspect of Data Science such as:
- Good Knowledge of SQL
- Knowledge to use Python packages such as Scikit learn, MatPlotib, NumPy, etc. for Data Science
- Cleaning up of Data
- Data Wrangling
- Analysis of Data
- Visualization of Data
- Mathematical Knowledge
- Knowledge of Probability
- Knowledge of Statistics
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5. Artificial Intelligence and Machine Learning Skill
A developer in Data Science should have good knowledge about Artificial Intelligence and Machine Learning as it comes under Data Science. One should have good proficiency in Machine Learning algorithms. He should have a good understanding of Neural Networks, Produce insight from data, visualization of data, Data analysis, and collection of data from various sources.
6. Deep Learning
Deep Learning is also a field that comes under Data Science. One is expected to have a good understanding of the concepts in deep learning and Neural network architecture. This is after covering all the aspects of Artificial Intelligence, Machine Learning, and the Basics of Data Science. There are many aspects of Deep Learning, such as:
- Audio Processing
- Video Processing
- NLP ( Natural Language Processing)
7. Good Understanding of Multi-Process Architecture
A developer should know the codes that are used in the working of release and deployment. The design engineer usually does this, but a developer too must have a basic understanding. If one wants to become a good Python Developer, then they should learn about MVT (Model View Template) and MVC (Model View Controller) Architecture. A developer will be able to solve the problem in the core framework after understanding the multi-process architecture.
8. Analytical Skills
One must have excellent analytical skills in the field of Data Science to be a good python developer in the future. The required analytical skills may need a good understanding of building useful websites for web development, visualizing datasets for Data Science in a better way, optimization of algorithms while coding, writing clean code which is not redundant, etc.
9. Design Skills
A good developer should also have a good understanding of designs which will be helpful while designing scalable products. Servers should be implemented to make them highly available. A python developer can use any python framework like Flask or Django to create a website. In this way, Python will be able to work at both server-side and client-side programming.
10. Communication Skills
Communication skill is one of the essential skills which one should have in any profession. Successful communication can bring success to the professional and the organization. One must be able to avoid any communication gap or confusion in understanding or any kind of misunderstanding. Half of the job is already done when one communicates do peer code review and make a contribution within the team in an efficient manner. Communication is also needed to solve any problem and to communicate with teammates.
11. Version Control
Changes in the source code are multiple times, and one should be able to keep track of every change. It is one of the vital job requirements expected by any company. If a developer has correctly set up their GitHub, and they are already familiar with the words like “commit, pull, fork, push”, then they will be efficiently handling different versions of codings and track the changes in the codes.
12. Front-End Technologies Knowledge
A Python developer will need to work and coordinate with the front-end team to match the client-side with the server-side. There should be a good understanding of front-end technologies to a developer so that they can know about the appearance of the application, working of front-end, possibilities, and limitations of the front-end. For a Python Developer, the experience and knowledge of front-end will be helpful in some of the main projects.
13. The Ability of Integration
A Python Developer should have the skill of integrating multiple databases and data sources into a single system. This integration will help in the smooth running of the system, and there will be fewer discrepancies.
14. Knowledge of Server-Side Templating Language
A python developer also needs a good understanding of modelling language at the server-side such as Make, Jinja 2, etc.
15. Knowledge of User Authorization and Authentication
A developer in Python should also know about the user authorization and authentication that happens between multiple environments, servers, and systems.
16. Python Event-Driven programming
A developer in Python should be familiar with programming in Python that is event-driven.
17. Good Debugging and Unit Test Skills
A developer should have strong skills in debugging and unit testing.
18. Code Versioning Tool Understanding
A developer can also have a good understanding of the code versioning tools like SVN, Mercurial, and Git.
19. Database Schemas Creation Ability
If a developer can create schemas in the database, then he can support business processes and represent it.
20. Multiple Delivery Platforms Understanding
There are many platforms to deliver an output such as desktop or mobile, and a python developer should have good knowledge of the difference between different platforms. He should also be able to optimize the output according to the target platform to match the requirements.
21. Logical Thinking Ability
In any case, the Python developer is required to think logically and the ability of good logical thinking should be the second nature of a developer to become a good developer in the python programming language.
If you are reading this article, most likely you have ambitions towards becoming a Python developer. Here we have discussed the top skills required by a Python developer and we hope this article has been informative to you.
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What are the most common applications of Python?
Python is a programming language that is extensively used for online and software development, task automation, data analysis, and data visualization. Python is used in a variety of fields, such as web and game development, machine learning, artificial intelligence, scientific computing, and academic research. Due to its relative simplicity of learning, Python has been welcomed by many non-programmers, such as accountants and scientists, for a variety of routine operations, such as money management.
Is Python a backend programming language?
Python is an appropriate backend language in this field of technology because of its emphasis on code readability and its extensive libraries and frameworks. Furthermore, Python includes a large number of machine learning libraries, such as Keras, TensorFlow, and Scikit-learn. Python is a key programming language for back-end development because of its accessible syntax and extensive server-side use.
What are the limitations of event-driven programming?
Event-driven programming is generally more difficult and time-consuming than batch programming for basic systems. The program's flow is typically less logical and clear. In most cases, Event Driven Development is only effective in GUI programming. Commercial applications do not benefit from event-driven programming because they require data processing, which event-driven programming does not provide.