Introduction

To begin, Python stands as one of the most in-demand programming languages. It is one of the trendy, most widely used programming languages globally. Python is used in a wide range of industries like data science, Machine learning, artificial intelligence, scientific computing, and more. As most companies are looking for skilled Python developers, Python developers are in need with high salaries in the job market.

The Popularity of Python is increased due to its simplicity, versatility, huge library support, large community and more. The top companies using Python are Intel, IBM, Facebook, Instagram, Uber, NASA and more. It is more powerful, easy to use and learn. Take advantage of its popularity and learn Python using Credo Systemz Python Courses. This article explains the Python developer jobs and salary details in 2024.

Python developer

As a Python developer, the main responsibility is developing software applications using Python programming. It also includes testing, maintaining software. To have strong programming skills with Python syntax, libraries, Credo Systemz Python courses is the best. Additionally, Stay up-to-date with the latest developments in Python Programming for Career growth and advancement.

Responsibilities are:

• Coding and testing the Python codes to meet functional and technical requirements.
• To support applications,designing and implementing databases and APIs.
• Troubleshooting and debugging the software issues.
• Contributing to the development and standards for software development.
• Collaborating with cross-functional teams for improved communication and performance.

Python Developer Salary

Python Job Roles with salary

Data Scientist

Data scientist is one of the top professional roles to work with large and complex datasets. They use statistical, mathematical, and computational techniques to extract insights and knowledge from data. Data scientists use tools and techniques from statistics, machine learning, and data visualization. Python is one of the most popular,preferred programming languages in data science. The key libraries used in data science with Python are:

• NumPy
• Pandas
• Matplotlib
• Scikit-learn
• TensorFlow

Machine learning Engineer

Machine learning engineer is a popular professional who is responsible for building machine learning models and systems. They are responsible for developing and implementing algorithms to predictions based on data. Develop the strong background in computer science, mathematics, and statistics to improve the performance. The important tasks of Machine learning engineer:

• Data preparation
• Algorithm selection
• Model training & evaluation
• Deployment
• Monitoring and maintenance

Machine learning engineers use Python programming as it supports manipulation and analysis. Python is easy to use with numerous libraries, frameworks for machine learning tasks.

• Scikit-learn
• TensorFlow
• Keras
• PyTorch
• Pandas

Artificial Intelligence Engineer

Artificial intelligence engineer is a professional who is responsible for building intelligent machines. They design, develop, and deploy AI systems and applications. AI engineers work with a variety of technologies, including machine learning, natural language processing, and computer vision. The important tasks of AI engineer are:

• Identifying business problems
• Data cleaning, preprocessing, and feature engineering
• Algorithm selection
• Model training on large datasets
• Model evaluation & Deployment
• Monitoring and maintenance

To become an AI engineer, Python is the ideal, popular programming language. It is used to perform the following AI tasks,

• Natural Language Processing (NLP)
• Computer Vision – OpenCV, TensorFlow, and Keras
• Machine Learning tasks – Scikit-learn, TensorFlow, and Keras.
• Deep Learning tasks – TensorFlow, Keras, and PyTorch.

Python web developer

To design, develop, and deploy web applications, Python web developer professionals are responsible. Python is the best for web development due to its simplicity, readability, and flexibility. They typically work with web frameworks like Flask, Django, and Pyramid to build web applications.

Responsibilities of Python web developers

• Designing and developing web applications – Flask or Django
• Integrating with databases – Object Relational Mapping (ORM) tools
• Front-end development
• Testing and debugging
• Deployment and maintenance

Wrapping Up

To sum up, The demand for Python skills among companies has been increasing with the latest trends. This Programming language is used for several industrial purposes using powerful libraries and tools. Python is worth learning for all aspirants that leads to advancement in the Career path. To grab jobs from big tech companies, Join Credo Systemz Python courses.