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Python Skills for Staying Ahead in a Rapidly-Changing Field

Introduction

Now is the time to take the first step toward pursuing a career as a Python developer! Since Python is used by 48.24% of developers globally, according to Statista, it’ll continue to hold a strong leading position as the world's most commonly used programming language. Also, The TIOBE community programming index, a measure of the popularity of languages, recently declared that Python is utilized more than any other language in the world. 

To be a Python developer, you must have a strong foundation in the language and a deep understanding of its core concepts. This blog will explore key skills every Python developer should have in his/her toolkit. These skills will help you build high-quality applications and make you a valuable asset to any team. Online programming courses will also support you in mastering high-level concepts and programming languages related design decisions at an accelerated pace.

Why learn Python?

For the past several years, Python has been developed into the most sought-after language, which indicates that the professional advancement chances for Python developers are exceptional. The majority of big firms like Pinterest, Instagram, Yahoo, etc. make use of Python and are also preferred by over 68% of data scientists; here are some of the reasons for learning Python -

1. Easy to learn and use:

Python has a simple and intuitive syntax that is easy to read and write. It makes it a great language for beginners and allows experienced developers to prototype and develop applications quickly. 

2. Job opportunities:

Because of its popularity and versatility, knowledge of Python is in high demand among employers. This makes it a valuable skill and can open up many job opportunities in web development, data science, and artificial intelligence. Here is a Python career path you should read about.

3. Large and active community:

Python has a large and extremely active community of users who contribute to its development and support each other. This makes looking for help and resources easier when needed and allows you to tap into a wealth of knowledge and expertise.

4. Versatility:

Python can be utilized for many purposes, including web development,  artificial intelligence, data analysis, and scientific computing. This allows you to use Python for a variety of projects and also makes it easier to switch between different domains and technologies.

5. Large ecosystem of libraries and frameworks:

Python has a large ecosystem of libraries and frameworks that can be used to extend its capabilities and make development faster and easier. This allows you to easily and quickly add functionality to your projects without starting from scratch.

Learning Python or taking online Python training can provide many benefits for both individuals and organizations. It is a versatile language that is easy to use and learn and has a large and active community of users. It also has a rich ecosystem of libraries and frameworks and can provide valuable job opportunities. All these factors play an important role in making Python a great language to learn and an important tool for anyone in the computer programming field.

Who is a Python Developer? And is there any demand for them?

A Python developer implies a software engineer specializing in developing and implementing applications using the Python programming language. They write and maintain efficient, reliable, and maintainable code and integrate Python code with other technologies and languages. Python developers may work on various projects, including web applications, data analysis, visualization tools, and scientific computing applications. They may also be involved in the process of designing and planning the application, as well as in quality assurance and testing activities. Overall, the role of a Python developer is to use their expertise in the language to build effective software solutions that meet the needs of the customers and the organization.

Each developer has a preferred coding language using which they’re more at ease, although a few aspects set them apart. Because of the aforementioned compelling reasons, top MNCs, like Google, Netflix, Spotify, etc., use Python, and most developers have piqued their interest in this language.

Python developers have a massive community because it is the top choice for developers, breaking the boundaries to being number one. Recruiters are willing to hire Python developers because the language is growing in popularity. Additionally, this language authorizes data analysis and ML along with backend development, which makes Python developers one of the most well-paid employees. 

What Does a Python Developer do?

As a Python developer, you play a critical role in developing high-quality software and applications. Your responsibilities may vary depending on the project and the needs of the organization, but some common tasks and duties include:

  • Writing and implementing efficient, reliable, and maintainable code in the Python programming language.
  • Collaborating with other development team members, including designers, project managers, and quality assurance engineers.
  • Developing and maintaining libraries and frameworks to support the application and provide reusable components for future projects.
  • Integrating Python code with other languages and technologies, such as databases, web servers, and front-end frameworks.
  • Performing unit testing, debugging, and other quality assurance tasks to ensure the code works as expected and meets the project's requirements.
  • Participating in code reviews and providing feedback to other team members.
  • Staying up-to-date with the best practices and latest trends in the Python community and incorporating these into your work.
  • Participating in planning and design meetings to help shape the architecture and direction of the project.

In addition to these technical responsibilities, a Python developer may have other non-technical duties, such as mentoring junior team members, assisting with onboarding new employees, and participating in team meetings and other collaboration efforts. Overall, the role of a Python developer is to use their expertise in the language to build high-quality, effective software solutions that meet the organization's and its customers' needs.

Steps to Become a Python Developer

Not all will have a similar experience in becoming a Python developer. Even the most comprehensive plans won’t work out accurately. Remember to give additional time to yourself and be patient when trying to do something special, like switching careers.

Moreover, there’re various excellent fields for a Python developer, and the one you plan to choose to master will closely showcase your procedure. The other excellent career paths for a Python developer include - 

  • Data scientist: Using programming languages and coding skills to analyze and visualize high volumes of data together.
  • ML engineer: Designs and implements algorithms and AI to act as part of a bigger data science team.
  • Software application developer: Is accountable for designing, developing, troubleshooting, and updating software apps. It is a broad sector enclosing several classic computer programming tasks.
  • Web app developer: Designs, launches, maintains, and updates web pages and apps specifically designed for mobile and desktop devices.
  • Software automation engineer: A distinct information technology role that involves optimizing the existing software systems by automatizing big data processes.
  • Game developer: Although Python isn’t the most common language for game developers, it is more than capable of developing 2D and 3D video games.

A host of other fields depend on Python as well. We aren’t exclusively diving deeper into them in this section, but if you wish to research them yourself, here’re a few other most famous ones:

  • Finance: The similar characteristics and libraries that help make Python specifically useful in data science also make it specifically useful for finance. It could be utilized in assessing trends in big data sets, as well as in risk management.
  • Task automation: Python can support several task automation like web data extraction, report creation, file storage management, etc.

Step 1 - Prepare a career plan

Irrespective of your skill level or interests, you must first prepare a plan accordingly because it’ll help you in the long term and also to realize your objectives properly. You can begin by self-questioning - how will you learn Python? Because acquiring knowledge is the first step in the complete process. 

Based on the career path you end up taking will need an investment of time and money. It's a fact that most job roles don’t especially need a bachelor’s degree in computer science, but still, the majority of recruiters choose it. Aside from it, there’re no. of other ways to learn Python that are meaningful to you and your prospective employer. 

Another question you can ask yourself is - which areas of Python are you interested in learning? Once you get to experience programming and the Python language, you’ll get a clear idea of what areas you like the most and what you don’t, but decide beforehand. Also, as you get more and more experience, you’ll be well-prepared as a programmer and get a strong understanding of where you want your career to head. 

If you feel uncertain about a specific field you’ve selected to gain hands-on experience, don’t worry; just give yourself the time to alter your plan and find something you’ll enjoy doing.

Typical time estimate: Each one will take a different period for planning their own Python developer career path; therefore, we can’t estimate a firm time estimate here. We would like to suggest don’t hold to your plan too strictly because even the most accurate plans can go wrong, so be patient. 

Step 2 - Get relevant education

You can get relevant education in various ways, as follows-

Type of Education

Typical Time Estimate

   

Bachelor’s degree + Master’s degree in computer science or relevant field

4 yrs. + 2 yrs.

Bachelor’s degree in computer science or relevant field

4 yrs.

Associate’s degree + Bachelor’s degree in  computer science or relevant field

2 yrs. + 2 yrs.

Full-time coding boot camp

12 weeks

College or University certificate

1 to 2 yrs. 

Self-study

12 weeks to several yrs.

Typical Time estimate: Besides the time it takes to apply and wait for your choice of course to start, your education can take anywhere between 12 months to six yrs.

Step 3: Get practical experience

Majority of organizations hire candidates with practical experience, which might create a paradoxical situation for students or freshly graduated programmers. In a few cases, someone might be willing to give you a chance, but most of the time, you just need to get the required experience by other means. 

Some plenty of other options that can help make your resume more compelling to recruiters include 

  • Working as an intern in a company
  • Participating in hackathons
  • Contributing to projects 
  • Enroll in online Python training courses

You also need to look into 

  • Creating your portfolio
  • Updating your resume
  • Building your projects or working on open-source projects

It’ll be great when you look for jobs.

Typical time estimate: Get a few months of real-world experience. 

Step 4: Earn relevant certifications

This step has been included after your experience, but actually, you can work on earning Python certification at any stage of planning your career or even after landing a job. Whereas few certifications need prior work experience in the related field, 

Certifications are an excellent way to emerge from the competition; it could be helpful when negotiating salary. 

A few popular Python-specific certifications include

  • PCEP – Certified Entry-Level Python Programmer
  • Professional Certificate Program in Data Science
  • Certificate in Python programming

Step 5: Be prepared for job hunting

The more you’re prepared for your job hunt, the more beneficial it will be. Before you start submitting applications.

  • Build network
  • Create Portfolio
  • Prepare for interview

Typical time estimate: It might appear to be a long period, but we suggest spending some months on this step. Failing a technical interview is never fun.

The Ultimate List of Python Developer Skills: What You Need to Know

To shine in today’s market, you will need certain Python skills to be recognized as one of the best Python developers. Here is a list of the top 21 skills that are a must for

  • Strong understanding of core Python concepts- 

The developer should know about Core Python. The core Python concepts and its components are as follows:

  • Iterators
  • Exception Handling
  • Generators
  • OOPs Concepts
  • File handling concepts
  • Data types and variables
  • Data Structures

1. Experience with popular Python libraries and frameworks- 

Many of these libraries and frameworks provide powerful tools and functionality that can save time and effort when developing Python applications. For example, NumPy and Pandas are popular libraries for data analysis, and Django is a widely-used framework for web development. These libraries and frameworks can greatly accelerate development and make it easier to build high-quality applications. Learn more about Python Libraries For Machine Learning, here. 

2. Familiarity with object-oriented programming principles- 

Familiarity with object-oriented programming (OOP) principles is an important skill for Python developers, as it is a widely-used programming paradigm often used in Python development. OOP is a programming methodology based on the concept of "objects", entities containing data and functionality.

3. Knowledge of database management and SQL- 

Knowledge of database management and SQL is one of the important basic Python skills for developers, as it is commonly used in developing Python applications. A database refers to a collection of data that is stored and organized in a structured format, and SQL, aka Structured Query Language) refers to a programming language used to manipulate and manage data in a database.

4. Ability to write clean, modular, and efficient code- 

The ability to write clean, modular, and efficient code is an important Python skill for any programmer as it can improve the quality, maintainability, and performance of their projects. This can save time and effort and make applications more reliable and scalable.

5. Proficiency in debugging and problem-solving- 

Debugging and problem-solving are important skills for Python developers because, like any other form of programming, Python development can be complex and challenging. There will inevitably be times when code doesn't work as expected, or unforeseen problems arise. In these situations, debugging and solving problems effectively can save time and effort and help ensure that projects are completed on time and to a high standard.

6. Familiarity with version control systems- 

Familiarity with various version control systems, such as Git, is an important Python skill for developers, as it is a key tool in the software development process. This can be especially useful when working on large and complex projects or collaborating with other developers. Version control systems allow developers to easily track and compare different versions of their code and the ability to roll back to previous versions if necessary.

7. Experience with testing and unit testing frameworks- 

Experience with testing and unit testing frameworks is important for Python developers because it helps ensure the quality and reliability of their code. Unit testing allows developers to test individual code units to ensure they are working as expected. A testing framework provides tools and resources to make writing and running unit tests easier. This can save time and effort and help prevent bugs and other issues from being introduced into the code. A strong understanding of testing and unit testing frameworks can make a developer more attractive to potential employers, as it shows skill and professionalism.

8. Knowledge of web development principles and technologies- 

Experience with testing and unit testing frameworks is important for Python developers because it helps ensure the quality and reliability of their code. Unit testing allows developers to test individual code units to ensure they are working as expected. A testing framework provides tools and resources to make writing and running unit tests easier. This can save time and effort and help prevent bugs and other issues from being introduced into the code. A strong understanding of testing and unit testing frameworks can make a developer more attractive to potential employers, as it shows skill and professionalism.

9. Understanding of data structures and algorithms- 

Understanding data structures and algorithms and their performance and complexity is important for Python developers because it allows them to write efficient and effective code. Different data structures and algorithms have different performance characteristics and can be more or less suitable for different tasks. By understanding the performance and complexity of different data structures and algorithms, Python developers can choose the right ones for the job and avoid common pitfalls that can impact the performance and reliability of their code. 

10. Experience with data analysis, machine learning, and artificial intelligence- 

Experience with data analysis, machine learning, and artificial intelligence is important for Python developers because it allows them to work with and analyze large datasets, build and train machine learning models, and develop AI-powered applications. These skills are highly demanded across various industries, including finance, healthcare, and technology. Experience with data analysis, machine learning, and artificial intelligence can make a Python developer more attractive to potential employers. It shows that they have a high level of expertise in these areas and can bring value to organizations looking to leverage these technologies. 

11. Familiarity with cloud computing and deployment technologies- 

It is important for Python developers because it allows them to build, deploy, and manage applications in the cloud. This can be useful in numerous situations, such as when an application needs to be accessed by users from different locations or when an application needs to handle many users or a large amount of data. Additionally, familiarity with cloud computing and deployment technologies can make Python developers more attractive to potential employers, as it shows that they have the skills and knowledge needed to work on projects that involve the cloud. 

12. Ability to work with and integrate third-party APIs-

It is important for Python developers because it allows them to access a wide range of external services and data sources from within their applications. This can be effective in many situations, such as when an application needs to access data from another system or when it needs to use a service provided by another company. By working with and integrating third-party APIs, Python developers can expand the capabilities of their applications and make them more useful and valuable to their users.

13. Familiarity with agile development methodologies and Scrum- 

Familiarity with agile development methodologies and Scrum is important for Python developers because it allows them to work effectively on teams and deliver high-quality software in a fast-paced and constantly changing environment. Agile development methodologies and Scrum are designed to be flexible and adaptable. They can help teams to collaborate and communicate more effectively, as well as to respond quickly to changing requirements and customer feedback.

14. Good communication and collaboration skills and the ability to work in a team- 

Good communication and collaboration skills are one of the most basic Python skills to work effectively in a team and are important for Python developers because they are essential for success in any software development project. Development teams often consist of people with different backgrounds and skills, and it is important for team members to be able to communicate and collaborate effectively to deliver high-quality software. Python developers can help their teams work together more efficiently and effectively with good communication and collaboration skills. If you want to learn more about the roles and responsibilities of a Python developer, read here.

15. Strong problem-solving and critical thinking skills- 

Strong problem-solving and critical thinking skills are important for Python developers because they are essential for success in any programming task. Programming often involves solving complex problems, and thinking critically and logically is essential for finding effective solutions. With strong problem-solving and critical thinking skills, Python developers can tackle complex challenges and develop creative and effective solutions. This can be especially important for projects that involve working with large or complex datasets or require the development of sophisticated algorithms.

16. Flexibility and willingness to learn and adapt to new technologies and challenges- 

Flexibility and willingness to learn and adapt to new technologies and challenges are important for Python developers because software development is constantly evolving. New technologies and tools are being developed all the time, and learning and adapting to these changes is essential for staying competitive and relevant as a Python developer. By being flexible and willing to learn, Python developers can keep up with the most recent developments in this field and continue to grow and improve their skills.

17. Knowledge of security principles and best practices for securing Python applications- 

Knowledge of security principles and best practices for securing Python applications is important for Python developers because it allows them to build and maintain applications that are safe and secure. As more and more sensitive data is being processed and stored by applications, it is essential that developers understand how to protect that data from unauthorized access or tampering. By understanding security principles and best practices, Python developers can write secure and compliant code with industry standards and help prevent security vulnerabilities and other issues that can impact the safety and reliability of their applications.

18. Experience with performance optimization and tuning- 

Experience with performance optimization and tuning is important for Python developers because it allows them to write efficient and scalable code. As applications grow and become more complex, it is essential that they continue to perform well and provide a good user experience. By understanding performance optimization and tuning, Python developers can identify and address potential bottlenecks and other issues impacting their code's performance and ensure that their applications can handle a large number of users or a large amount of data without slowing down or becoming unresponsive.

19. Familiarity with DevOps principles and tools - 

Familiarity with DevOps tools and principles, such as Jenkins and Ansible, is important for Python developers because it allows them to automate and streamline the software development and deployment process. DevOps refers to tools and practices designed to help teams deliver software faster and more reliably. Tools like Jenkins and Ansible can help automate many tasks and processes in software development and deployment. By being familiar with DevOps principles and tools, Python developers can work more efficiently and effectively and can help their teams to deliver better software faster.

20. Experience with data visualization and data storytelling- 

Experience with data visualization and data storytelling is important for Python developers because it allows them to effectively communicate data and insights to a wide range of audiences. Data visualization creates visual representations of data, such as graphs, charts, and maps. Data storytelling uses data to tell a compelling story or make an argument. By creating effective data visualizations and telling compelling data stories, Python developers can help their organizations understand and make sense of large and complex datasets and provide valuable insights that can inform decision-making and drive action.

How long does it take to become a Python developer?

If you do the math, you’ll know that the total time required to become a Python developer differs drastically. It might take a few months to several years, based on different factors, including-

  • Prior technical knowledge
  • Work experience
  • Education
  • Career goals,
  • Job market

How much do Python developers make?

As stated by Glassdoor, a Python developer in the US earns $96,890 per year, and the salary ranges from $65,000 to $144,000, based on work experience. The average annual salary for Python developer jobs in the US is the highest.

Conclusion

A Python developer is responsible for writing and implementing high-quality code in the Python programming language. This typically involves working on the back end of applications, building and maintaining libraries and frameworks, and integrating the code with other languages and technologies. Becoming a proficient Python developer requires a strong foundation in the language's syntax and semantics and a working knowledge of its most commonly used libraries and frameworks. In addition to these technical Python skills, a Python developer should also have excellent problem-solving abilities, work well in a team, and be willing to continuously learn and adapt to new technologies. With these Python skills and a strong portfolio of projects, a Python developer can pursue a successful and rewarding career in various industries. 

Enroll in our online Python training course and a free demo class to understand our Python training roadmap. This will offer you a better understanding of what to anticipate throughout our Python training course.

FAQs

Q1. What skills do I need to have as a Python developer?

Ans:- To be a successful Python developer, you should have strong skills in the Python programming language and be familiar with various frameworks, libraries, and tools commonly used in Python development. You should also have experience with object-oriented programming, data structures, and algorithms. In addition, it is helpful to have knowledge of web development, databases, and other technologies commonly used in Python development.

Q2. What is the job market for Python developers like?

Ans:-  The job market for Python developers is robust, with many companies seeking qualified professionals with Python skills. Python is a multifaceted language used in various industries, including finance, healthcare, e-commerce, and technology, so many job opportunities are available. In addition, the demand for Python developers will continue to grow in the coming years.

Q3. How do I become a Python developer?

Ans:-  To become a Python developer, you should start by learning the basics of the Python programming language. You can do this through online Python courses, tutorials, and books or by attending a programming boot camp or college degree program. Once you have a strong foundation in Python, you can start working on projects and gaining experience in different frameworks, libraries, and tools commonly used in Python development. You can also continue to learn and stay up-to-date on the latest developments in the Python ecosystem.

Q4. What is Python development?

Ans:- Python development refers to creating applications using the Python programming language. This involves writing code, testing and debugging the application, and implementing features and functionality using Python and related frameworks, libraries, and tools.

Q5. What are some common applications of Python development?

Ans:-  Python is a versatile language that is used in a variety of applications. Some common examples of Python development include web development, data analysis and visualization, machine learning and artificial intelligence, scientific computing, and scripting and automation. Know the reasons behind choosing Python for scripting by referring to Python scripting tutorial.

Q6. What are some common frameworks and libraries used in Python development?

Ans:-  Many frameworks and libraries are commonly used in Python development. Some examples include Django, Flask, and Pyramid for web development; NumPy, Pandas, and Matplotlib for data analysis and visualization; TensorFlow and PyTorch for machine learning; and SciPy for scientific computing.

Q7. What are some challenges associated with Python development?

Ans:-  Some challenges associated with Python development include managing the complexity of large and scalable applications, maintaining compatibility with different versions of Python and related libraries and frameworks, and optimizing the performance and efficiency of the application. In addition, it can be challenging to find and fix bugs and errors in the code, especially in complex and large-scale projects.

Q8. What are the benefits of learning Python?

Ans:-  Python is a versatile and powerful language widely used in the industry, so learning it can open up many job opportunities. It is also easy to learn and has a large and extremely active community, implying a wealth of online resources and support available for learners. Additionally, Python is a great language for beginners, as it has a simple syntax and is intuitive.

Q9. What will I learn in JanBask Training’s online Python course?

Ans:-  Our online Python training aims to give you access to a certification program that simulates classroom learning while relieving you of the hassle of making daily trips to physical locations and the associated costs, time, and energy expenditure.

  • To provide you with a thorough preparation for the Python discipline by reviewing the concepts, abilities, and practices required for Python certifications and employment roles.
  • To offer coherent and thorough Python training that teaches you fundamental to advanced concepts and abilities tested for an individual in the Python online Certification examination. This is done through engaging e-learning tools and Python classes taught by specialists in the field.
  • Providing you with all the fundamental to advanced knowledge needed to become an industry-ready Python professional, as well as helping you to comprehend and understand the company's goals for developing strong and unique desktop GUI apps, websites, and web applications.

Enroll in our free Python online course counseling and demo class to understand our online Python training roadmap. This will offer you a better understanding of what to anticipate throughout our online Python training course.

Q10. How much do Python developers earn on average?

Ans:-  According to Indeed, the average salary of a Python Developer is $119,238 per year.


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