7 Python Career Paths That Are Most In-Demand

After completing a Python course, most students are inclined towards back-end web development, scripting, or product development. 

But, you can advance your Python career path in multiple ways, like working as a machine learning engineer, data analyst/data scientist, penetration testing/ethical hacker, software engineer, etc. 

Python ranks among the top programming languages in demand in 2024, but choosing the right career path can be difficult. 

Here are 7 Python career paths to pursue in 2024

1. Python Developer 

A Python developer is a skilled professional who is responsible for writing, testing, and maintaining Python codes. They usually participate in the entire software development lifecycle to develop high-quality tech solutions and identify and solve bugs before deploying them into the market.

Years of experience required: 0-3+

Job responsibilities:

• Candidates applying for the post must have knowledge in Full-stack Python development with the ability of creating high-quality software design and architecture.
• They need to identify, prioritize, and execute tasks in the software development life cycle.
• Reviewing and debugging different code by performing validation and verification testing.
• Document all the development phases and monitor multiple systems.
• Develop tools and applications by writing clean, efficient, reusable, and testable code.
• Work with the development team to define, design, and deliver new features.
• Developers need to work on Python, Flask & Django-based web applications.
• Should have proactive problem solving skills
• You will need to take part in designing and creating RESTful APIs for internal and partner consumption

Key skills required:

• Having a good grasp of python syntax and concepts, standard library and popular frameworks
• Understanding of object-oriented programming principles and expertise in developing and maintaining applications using Python, Django, Django Rest API, and related frameworks.
• Candidates must understand AWS Project development, EC2 Instance, Loadbalancing, and S3 bucket.
• Good hands-on experience in creating REST APIs and API Integration with best coding practices, and knowledge of Relational and Non-Relational Databases.
• Developers must have a proper understanding of Python ecosystems like Django, Flask, ORM, and environments around it.
• Have adequate experience with unit testing and integration testing, and knowledge of different testing frameworks
• Better understanding of code versioning tools like GIT.
• Experience working with Docker and microservice patterns 
• Experience working in an Agile development environment.
• Understanding of web servers.
• Knowledge of Apache, Nginx, Redis, and Celery

Here are common skill required for a Python developer inter:

Average annual salary: ₹5.7 Lakhs in India, $22T in the US

2. Full-stack Developer 

A full-stack Python developer must understand both front-end and back-end development. These professionals have specialization in developing applications using Python programming language and are responsible for designing, coding, testing, and deploying high-quality software solutions.

Years of experience required: 1-3+

Job responsibilities:

To understand what a full-stack Python developer does in the industry and their essential skill requirements, we have considered a Full-Stack Python Developer job post on LinkedIn. 

• Full stack developers will need to develop and maintain dynamic web applications using Python and related front-end technologies.
• They need to write clean, efficient, and reusable code following best practices and ensure the responsiveness and performance of multiple applications.
• Participate in code reviews and troubleshoot, debug and upgrade existing systems.
• Work with front-end technologies to create responsive, user-friendly interfaces.
• Use databases and manage data flow between front-end and back-end.

Key skills required:

• Knowledge of Linux, git, and terminal-based editors such as vim and Emacs.
• Experience with Python programming languages and back-end development frameworks such as Django, Flask, and REST.
• Knowledge of SQL and NoSQL databases, and ORM (Object Relational Mapping) tools
• Ability to write HTML/CSS codes for designing 
• Understanding of API development: RESTful APIs and GraphQL
• Having basic DevOps knowledge including Docker, and CI/CD pipelines
• Familiarity with agile methodologies 

Average annual salary: ₹4.0 Lakhs in India, $1,20,551 in the United States.

3. Software Engineer 

A Python software engineer is an expert in designing, developing, and maintaining software, web and mobile applications using Python and engineering principles. They analyze user requirements and design software that meets those requirements. With proper knowledge of Python programming, you can design and develop high-quality software, and test codes at every level of the SDLC. 

Years of experience required: 1-2+

Job responsibilities:

We have considered a Python Software Engineer job post on LinkedIn to understand the responsibilities of these professionals and the required skills to launch a job.

• Software engineers will be required to design, develop, and test middleware software solutions. 
• Work with cloud solutions like AWS (Amazon Web Services), and Azure cloud platforms.
• Integration of software components and third-party programs for seamless interoperability. 
• Engineers will assist in managing and maintaining cloud infrastructure, including  monitoring system performance, troubleshooting issues, and optimizing for efficiency and cost-effectiveness.
• You’ll have to automate routine tasks related to software development and infrastructure management like writing scripts, and developing CI/CD pipelines.
• As a junior role, you must continuously learn from senior team members and keep up-to-date with the latest industry trends and technologies to improve software solutions.

Key skills required:

• A little experience in software development.
• Have familiarity with EKS, AWS, Azure, and automation tools
• Basic proficiency in Python coding languages, and web development frameworks
• Candidates must have a proper idea of databases, system architecture, and software design principles..
• Know how to write documentation with your code
• Good problem-solving skills and critical thinking 
• Can work in a team and have strong communication skills.

Average annual salary: ₹6.4 Lakhs in India, $1,58,869 in the United States 

4. Test automation engineer 

A test automation engineer is responsible for implementing different automated testing strategies, frameworks, and tools to check and resolve bugs, as well as ensuring the quality and reliability of software before deploying it into the market. To train a machine, you need knowledge of coding language and your Python skills. 

There are around 900 vacancies for test automation engineers in India on LinkedIn, among which hundreds of the vacancies require Python programming skills.

Years of experience required: 1-5+

Job responsibilities:

We looked into an Automation Python Engineer job post on LinkedIn to learn about their responsibilities in a company and their skill requirements. 

• They are required to develop, maintain, and execute automated test suites using Python, Selenium, and different web frameworks like Pytest to ensure the quality of software products.
• Automation testers will design and implement different BDD (Behavior-Driven Development) frameworks like Cucumber to create readable and maintainable test scripts.
• Work with other team members to understand product features and requirements, translating them into effective test plans.
• Testers will identify, record, and track bugs through software lifecycle and document them thoroughly 
• They will need to enhance and optimize the existing automation framework for better scalability and performance.
• Testers will take part in reviewing and testing code and focus on continuous improvement of the software.

Key skills required:

• Experience in using Python for test automation scripts
• Proficiency in Selenium WebDriver for creating browser-based regression automation suites and tests.
• In-depth knowledge of test frameworks like Pytest and BDD methodologies (Cucumber).
• Know the use of software QA tools and processes, writing and executing test cases, defect tracking, and test reporting.
• Good knowledge of software development life cycles and Agile/Scrum development methodologies.
• Understand the use of version control systems like Git and CI/CD tools such as Jenkins.
• Candidates must have the ability to write clear, concise, and comprehensive test plans and cases.
• Hands-on experience with performance and/or security testing

Average annual salary: ₹7.0 Lakh in India ,$1,25,059 in the United States 

5. Machine Learning Engineer 

A Machine Learning Engineer is involved in building and deploying different machine learning models and AI applications using Python libraries like TensorFlow, Keras, and sci-kit-learn. Knowledge of Python helps machine learning engineers implement different Python libraries for data manipulation, cleaning, exploratory data analysis, and preprocessing data into a format suitable for model training. You can work on projects like image recognition, natural language processing, and predictive analytics. 

Years of experience required: 0-3+

Job responsibilities:

To understand the job responsibilities of an early-stage machine learning engineer, we have searched for a relevant post on LinkedIn.

For example, take a look at the python skills required for the job role of machine learning engineer.

• Assist senior developers in designing and developing machine learning models under their supervision
• You will need to prepare and preprocess data for machine learning tasks.
• Engineers will implement machine learning algorithms and models using Python and frameworks such as TensorFlow or PyTorch.
• You will involve in evaluating and validating model performance using different metrics
• Engineers will use feature engineering methods to improve model accuracy and efficiency.
• Work with other team members to deploy of machine learning models into real world production environment 
• You will be analyzing data to discover patterns and insights required for high quality model development.
• Work in a team with senior engineers and data scientists for execution of different project tasks and objectives
• Require proper documentation of codes, models, experiments, and findings throughout the project execution.
• Candidates must stay updated on the latest advancements and trends in machine learning and AI

Key skills required:

• Proficiency in Python programming language. Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, etc.
• Strong understanding of machine learning concepts, algorithms, and techniques.
• Have practical knowledge of data manipulation and analysis using libraries like Pandas, NumPy, etc.
• This role requires the knowledge of software engineering principles and best practices.
• Have excellent analytical and problem-solving abilities, and ability to meet deadlines 
• Candidates must have good oral and written communication skills, and ability to explain complex concepts clearly.
• They must be able to work in a team which requires good collaboration skill
• Have the willingness to learn new technologies and methodologies quickly.
• Machine learning engineers must have attention to detail and accuracy in working.

Average annual salary: ₹10.1 Lakh in India, $1,64,510 in the United States 

6. Implementation Analyst

An implementation Analyst is a professional responsible for the implementation and integration of software and applications within an organization.

This job role requires Python knowledge to automate repetitive tasks, data migrations, data analysis and manipulation, system configurations, and integration processes.

Years of experience required: 0-1+

Job responsibilities:

• You will assist developers in the implementation and integration of software applications using APIs.
• Analysts need to work with REST APIs to integrate various services and functionalities.
• Collaborate with all the teams who are responsible for the successful implementation of software solutions.
• Analysts will also provide support to developers or software testers in troubleshooting and debugging issues during the implementation phase.
• They need to attain different client meetings to understand their requirements for the software and provide technical guidance to developers and clients.

Here’s a job description where having Python skills gives the candidate an advantage  to become implementation analyst.

Key skills required:

• Candidates must have a good understanding of APIs, including RESTful services.
• They should acquire basic knowledge of Python programming languages, along with knowledge of software development life cycle, database concepts and SQL
• This role requires you to have the ability to gather and document client requirements thoroughly
• Candidates must have skills in data mapping and migration with basic knowledge of data quality and integrity concepts
• It requires candidates with good problem-solving skills and attention to detail.
• They must be able to work in a fast-paced environment and manage multiple tasks simultaneously.
• This role requires excellent communication and teamwork skills to collaborate implement high quality solutions 
• Have proper knowledge of implementing version control systems such as Git.
• You need to have a basic understanding of front-end and back-end development.
• Implementation analysts must be familiar with Agile development methodologies.

Average annual salary: ₹6.4 Lakh in India, $97.579 in the United States 

7. Trading Operations Specialist 

If you have interest in stock trading and broker platform, then you can use your Python skills to become a trading operations specialist.

A trading operations specialist is a professional responsible for executing and monitoring trade transactions. They work along with traders, brokers, and custodians to ensure smooth and accurate trade settlements. 

With proper knowledge in Python programming, you can automate various trading operations like trade data processing, report generation, reconciliation, data manipulation and visualization, developing custom scripts to interact with the system, and exception handling.

Years of experience required: 1-2+

Job responsibilities:

We have considered a Trading Operations Specialist job post on LinkedIn for a better understanding of their job responsibilities. 

• You will need to focus on monitoring and maintaining the health of trading infrastructure, along with identifying and resolving issues and bugs.
• This role often asks to automate the startup and shutdown of proprietary trading systems across various exchanges and asset classes.
• You need to work on Linux servers to achieve optimal performance and stability for different trading applications.
• Work along with the quantitative research team to implement their project strategies into real-world production systems.
• You must communicate the system status and potential issues to stakeholders.
• This role focuses largely on operations and monitoring tasks and a little on development work.

Key skills required:

• Candidates must have practical experience in developing and deploying automated trading systems or related financial technology.
• This role requires strong proficiency in Python, shell scripting, and Linux administration.
• You must understand the financial market and trading processes
• A candidate with confidence in surviving a fast-paced, dynamic environment and managing multiple projects simultaneously is suitable for the role.
• You must have good oral and written communication and collaboration skills.
• Such specialists must have a passion for learning and staying up to date with the latest technological advancements.

Average annual salary: ₹7.2 Lakh in India, $86,485 in the US

👉 Important resources to help you become a successful Python developer

• Python course syllabus, fees, and duration
• Python full stack developer syllabus
• Python projects for final year students

Is Python a good career path in 2024? 

Yes, Python is a good career path in 2024 because of its high demand in different sectors, competitive salary range, easy market entry, and good work-life balance. 

Below, I have explained it with valid data and statistics.

1. Increase in popularity 

According to the TIOBE Index, as of June 2024, Python overtook Java, C, and C++ to rank itself as the top programming language.

The diagram below illustrates the change in demand for programming languages in the last 22 years. 

The graph below shows the rise in demand for Python in the last few years. This makes Python a great career option for students. 

2. Greater job availability 

You can find several job vacancies for Python experts on different job posting platforms After a thorough research, we found more than one lakh Python job vacancies in India.

There are different jobs available in the market that require Python developers. Even the experts on Quora say Python can help you land high-paying jobs, but only when you master additional skills required for the domain. 

3. Competitive salary range 

The average annual salary of a Python Developer (experience between 0-4 years) in India is ₹5.7 lakhs. You can earn ₹1.5 LPA for entry-level positions to ₹9.1 LPA with up to 4 years experience. 

Python developers can change their career path to highly paid jobs such as Machine Learning Engineer, Data Scientist/Data Analyst, Big Data Engineer, Full-Stack Web Developer, and DevOps engineer. 

4. Better employee work-life balance 

Python developers usually have a good work-life balance, especially after companies start following a hybrid work culture. 

Python developers at TCS have rated 4.2 for work-life balance on AmbitionBox.

5. AI tools won’t replace them

The common concern of the IT industry is getting replaced by AI tools, but for Python programmers, this isn’t going to happen. AI tools will automate some of the repetitive developer tasks, but human judgment, logic, and creativity in developing software and applications will be required. 

Python career opportunities in India 

According to PYPL PopularitY, Python language tutorial is the most searched programming language on Google. 

Python is the most searched programming language because of the huge number of career opportunities available in India.

The table below shares a few Python career paths in India that you can try

Career path	Experience required	Role type	Average annual salary	Job Responsibilities
Junior Python back-end developers	0-3 years of experience in Python programming and relevant frameworks/libraries	Entry-level	₹4 lakhs	Focuses on developing server-side applications, APIs, and microservices using Python frameworks like Django REST, Flask, or FastAPI
Senior Embedded Software Architect	8-12 years of extensive experience in embedded systems design and development	Senior level	₹15.3 lakh – ₹19.6 lakh	Architecting and designing embedded systems solutions, including hardware and software components, to meet functional, performance, and quality requirements
Data Analyst intern	0-1 year of experience with a basic understanding of Python programming	Entry-level/Internship	₹2.8 lakhs	Assist the data analytics team in various data-related tasks, such as data collection, data cleaning, data exploration, and data analysis, reporting and presentation
Junior Full Stack Web developer	1-3 years of experience in web development, including both front-end and back-end technologies	Junior level	₹7.2 lakhs	Responsible for developing both the front-end and back-end components of web applications using Python frameworks like Django or Flask
DevOps Engineer	3-5 years of experience in implementing and maintaining DevOps practices, with expertise in cloud platforms	Mid-level	₹9.7 lakhs	Responsible for implementing and maintaining DevOps practices, including continuous integration, continuous delivery, infrastructure automation, and monitoring
Machine Learning Engineer	0-2 years of experience in machine learning, Python programming, and relevant libraries/frameworks	Entry-level	₹7 lakhs	Responsible for implementing, deploying, and scaling machine learning models into production environments, ensuring reliability, performance, and maintainability
Cybersecurity Specialist: Penetration Tester/Ethical Hacker	4-6 years of experience in cybersecurity, with proficiency in Python scripting, automation, and cybersecurity frameworks	Mid-level	₹14.5 lakhs	Utilizes Python scripting for conducting penetration testing, vulnerability assessments, and ethical hacking activities
Data Scientist	0-2 years of experience in data analysis, Python programming, and its relevant libraries	Entry-level	₹9.3 lakhs	Utilizes Python for data extraction, cleaning, transformation, and analysis, including exploratory data analysis and visualizations
Web Automation Tester	Utilizes Python for data extraction, cleaning, transformation, and analysis, including exploratory data analysis and visualizations	Entry level	₹5.7 lakhs	Focuses on automating web application testing using Python-based frameworks like Selenium WebDriver

Expanding your professional network on LinkedIn can help you find numerous job opportunities. Create your LinkedIn account and showcase your projects, qualifications, achievements, and work experience to build trust and credibility in the market.

What Does Python Developers Do? 

A Python developer is responsible for coding, developing, designing, integrating, and debugging different server-side software and applications. Most of the time, these professionals work closely with the data collection and analytics team, which helps them answer questions and provide valuable insights. These professionals can later work as software engineers, web Developers, data scientists, machine learning engineers, and business analysts.

A Python developer’s responsibilities can vary depending on their roles in the company,  position, experience, and company requirements. 

Python Developers’ job responsibilities 

• Writing and maintaining Python code for various applications or systems.
• Work together with multiple team members, including other developers, designers, and project managers.
• Debugging and troubleshooting code issues.
• Participating in code reviews to ensure quality and adherence to best practices.
• Implementing new features or enhancements to existing software.
• Optimizing code for performance and scalability.
• Integrating various components of applications or systems.
• Writing and maintaining documentation for code and processes.
• Testing code to ensure functionality and reliability.
• Participating in daily stand-ups or team meetings to discuss progress and challenges.
• Researching and implementing new technologies or libraries as needed.
• Version control management using tools like Git.
• Collaborating on API development and integration.
• Assisting in database design and optimization.
• Contributing to the overall architecture and design of software systems.
• Addressing and fixing reported bugs or issues.
• Continuously learning and staying updated with the latest Python developments and best practices.
• Mentoring junior developers or interns, if applicable.
• Participating in agile development processes, including sprint planning and retrospectives.

Skills and prerequisites to become a Python developer 

1. Basic Python programming

The first thing that Python programmers must know is the basic concepts of Python. It includes 

• Variables and Data Types
• Control flow statements
• Functions 
• Object-oriented programming 
• Modules and Packages 
• File I/O handling 
• Exception handling 
• Generators and Iterators 
• List Comprehensions
• Memory management and garbage collection 

2. Knowledge of Python web framework

A Python developer must have a good understanding of Django or Flask, the two most popular web frameworks. These frameworks reduce the software development time by automating the implementation of repetitive tasks and allow developers to focus on the logic. 

Django is a high-level Python web framework that allows developers to have a practical, clean, and functional design for small projects and large corporate websites. Flask is a micro web framework of Python that is easier to learn than Django. 

3. Python libraries

Python has a huge collection of libraries that can assist developers with data analysis, machine learning, web development, game development, etc. 

Some of the popular Python libraries include 

• Scikit-learn: It is associated with NumPy and SciPy and is used for working with complex data
• NumPy: Popular machine learning library in Python used for expressing images, sound waves, and binary raw streams
• Pandas: Another machine learning library providing data structures of high level and tools for data analysis 
• Matplotlib: Popular Python library used for making static, animated, and interactive visualization

4. ORM (Object Relational Mapper)

With knowledge of ORM, Python developers can easily write codes with objects and methods instead of using SQL to create and update data schemas. These tools act like translators between the database and Python codes. It gives Python developers the flexibility to switch between different types of databases without changing significant codes.

5. Version control system 

Python developers may often need to work on a team, and developing software without proper collaboration is difficult. Therefore, they should learn version control systems like Git and Apache to track code changes, collaborate effectively, manage project history, and maintain different software versions.

• Git

You don’t need to learn the complex commands of Git, but the basics, like pull, push, clone, branch, add, commit, and init commands. A team of developers using Git has the entire copy of code changes on their system, which helps them work offline and submit the changes to a central repository for others to consider when they connect.

Download Git for windows

6. Test framework 

You need to learn any one of the Python test frameworks that can automate software testing while developing it. The main reason for using such a framework is to catch bugs and errors early in the development process. Some of the popular Python testing frameworks are:

• PyUnit (Used for unit testing) 
• Testify (Used for system testing and integration)
• lettuce (inspired by behavior-driven development framework Cucumber)
• pytest
• doctest
• behave
• Robot Framework (test automation, acceptance testing, and robotic process automation)

7. HTML & CSS

Learning HTML & CSS is mainly essential for front-end developers and not for all Python programming roles. But having them in your toolkit can be good for certain roles like Full-stack Python developers and software developers. 

8. JavaScript

JavaScript is a popular programming language, just like Python, and is frequently paired with HTML or CSS to add interactivity to websites. As a back-end Python developer, you might not require it, but some software development roles require basic knowledge of JavaScript. 

The graph below illustrates the change in demand for Python and JavaScript in India over the past 5 years. 

9. Understanding of Python Shell

Python has its own built-in command-line tool called the Python shell or REPL (Read, Evaluate, Print, and Loop). It reads your command, evaluates it, prints the result, and waits for your next command. 

Understanding the use of Python shell allows you to test codes (especially testing small pieces of code or exploring Python features) quickly without creating a separate file. It can save you a lot of time when you want to try out new code or ideas.

How Much Do Python Developers Make? 

Python developers make an average annual income of ₹5.7 lakhs in India and $1,18,464 in the United States. 

The table below illustrates the average annual salary of Python developers in India’s top cities.

Top cities in India	Average Salary
Hyderabad	₹6.1 LPA
Bangalore	₹6.3 LPA
Pune	₹6.2 LPA
Mumbai	₹6.4 LPA
Delhi	₹5.8 LPA

The table below illustrates the average annual salary of Python developers in the top cities of the United States.

Top cities in the US	Average Salary
Austin	$1,18,804 per year
San Francisco	$1,75,893 per year
New York	$1,18,464 per year
Seattle	$1,46,105 per year
Chicago	$1,23,217 per year

How Difficult is Python? 

Python isn’t difficult to learn programming language as it uses syntax that’s similar to reading English, making it easy to read, write, and understand.

You can use multiple Python libraries that contain pre-written codes, which saves a lot of your time when rewriting similar codes within your projects. 

Plus, Python has a huge community that can answer your questions instantly. 

The practical approach to learning Python can be helpful. You can start by clearing your basics and regularly implementing what you learned into real-world projects, which improves confidence. 

Additionally, solve basic to advanced level problems on Hackerrank and win badges. It proves your skills, while the projects prove your expertise, and all these together can help you get a good job. 

Python course certification to start your career 

Codegnan offers the best Python certification path for beginners. Our comprehensive course curriculum and practical approach to training provide the best way for students to learn the basics of Python. You can also implement your learning into real-life projects under the guidance of industry experts.

Upon successful completion of the course, you will receive an industry-accredited certification that helps you land good jobs. Our experts will also assist you in resume building and interview preparation.

You can enroll for our online Python programming course that offers free trial sessions before paying for the entire course.

Codegnan also provides Python classroom training sessions in Bangalore, Hyderabad, and Vijayawada. You have the flexibility to choose your classes and learn the basics to advance Python from industry experts. 

Our current GMB rating is 4.8 out of 5, which is contributed by nearly 2,374 people. This showcases our achievements in creating tech experts and makes us a reputed Python programming training institution in India.

FAQs 

Can I change my career from java to python?

Yes, you can change your career from Java to Python. With Java, you already have a good understanding of the core of coding, which is basically the same for any programming language you use. You only need to learn syntax, web frameworks, libraries, and other essential Python concepts. The transition from Java to Python is easier than Python to Java. 

What is the best career path in Python?

Back-end Python development is the best career path in Python, as you can get an early entry to this job role with a clear understanding of Python concepts. Other career paths you can consider are machine learning engineer, cybersecurity expert, data analyst, full stack web developer, product developer, database administrator, data scientist, and more. However, for these career paths, you need to gain multiple other skills. 

Which job has the highest salary in Python?

Data scientists have the highest salary in Python. Some of the other high-paying job roles in Python are web developer, full stack software developer, machine learning engineer, data analyst, DevOps Engineer, blockchain developer, cybersecurity analyst, cloud solutions architect, and artificial intelligence research scientist.

Is Python developer a good career?

Yes, a Python developer is a good career because of its increasing demands in the last few years, competitive salary range, huge job availability, early job market entry, and good work-life balance. Additionally, this job role won’t be replaced by AI, and software development will always require human judgment, logic, and creativity.

Is Python in demand in 2024?

Yes, Python is in demand in 2024. According to the TIOBE index, Python ranks as the highest-demanded programming language in 2024, crossing C# and Java on the list. Its Google trend overview shows a rising curve which ensures this domain is going to raise more popularity in the future.

Can I start my career in software by learning python?

Yes, you can start your career in software by learning Python. It opens up the door to back-end development, but if you want to become a full-stack software developer, you need to learn about front-end development tools, database knowledge, and additional skills. However, learning Python can be a good starting point for your software development career path. 

Is Python a high income skill?

Yes, Python is a high income skill, especially for people who have gained 5+ years of experience in the domain. Additionally, if you are upskilling yourself with the latest tools and technologies, you can land a high-paying job as a data scientist, machine learning engineer, full-stack software engineer, cybersecurity analyst, cloud solutions architect, etc.

Can I get a job only with Python?

Yes, you can get an entry-level job only with Python programming skills, but you need knowledge of Python frameworks and libraries. If you want career advancement to full stack development, machine learning roles, data scientists, etc., you need additional skills along with learning Python.