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How do I become a Python developer?

How do I become a Python developer?

What is Python?

Python is a high-level, object-oriented programming language that can be used to create a variety of desktop applications, systems, websites, and platforms. It may not be the most popular language in the tech world, but it's certainly the best choice for beginners and novices.

Python also tops the list. Python has the potential to rise to the top, which is historic as only Java and C have held this position for 20 years.

Who is a Python developer?

A Python developer is part of a software development team that can create, design, and implement software applications and various types of programs in the Python programming language. A Python Developer is also responsible for troubleshooting development projects created in Python.

A Python developer is usually involved in developing the back-end (server-side) of the application. However, with machine learning and data mining, Python developers' work is not limited to code development and debugging, but also includes working with third-party web service applications and implementing user interface features with the help of the front-end development team.

Skills required of a Python developer

Get python development training to become a Python developer. The course will teach you the skills discussed below.

Python frameworks

Knowledge of Python frameworks is essential, but that doesn't mean that a Python developer needs to know them all. Depending on the project, you may need to know one or two languages, but Django, Flask, and CherryPy are the most commonly used languages.  If you're already familiar with Python, you've no doubt worked with at least one of the most popular frameworks. In general, developers appreciate the well-defined underlying structure that frameworks provide when designing the basic logic of an application.

Olio-relational mapping

ORM is a method for converting data between incompatible types using olio-based programming languages. ORMs create a virtual database of objects that can be used in Python (or other languages). When building web applications, they need to convert data from one system to another. Without an ORM, this is incredibly difficult. With ORM, Python developers can use Python code instead of SQL to create, read, update and delete data schemas.

Python Basics

As a developer, you should know the basics of the Python language. A thorough understanding of the various terms and concepts will give you the confidence to tackle any project, regardless of its complexity. The Python terms you should be familiar with are:


Thread generators

Exception handling

File management concepts

Data types and variables

OOP Concepts

Data Structures

Artificial intelligence and machine learning

A data analyst/developer should have a good understanding of AI and machine learning as they are part of data science. They should be familiar with machine learning algorithms. The candidate should have a good knowledge of neural networks, data literacy, data visualization, data analysis, and data retrieval from different sources.

Knowledge of ORM libraries

Running and connecting an application to an ORM (Object Relational Mapper) such as SQLAlchemy, Django ORM, etc. is easier, faster, and more efficient than writing SQL, so your team will likely prefer this method. It's good that this is part of your skillset.

Front-end technology

Not only do you need to know Python like the back of your hand, but you also need to know how the front-end of your web application will work. To do this, you need to understand the three main languages used in Python for front-end markup: HTML5, CSS3, and JavaScript. Python is good at creating all three markup languages using parsers, compilers, and transpilers.

Computer science skills

A Python programmer has great potential in computer science, as this programming language is widely used in this field. As a Python programmer working in computer science, you will have a better understanding of the concepts if you have knowledge in the following areas:


Python packages such as Scikit learn, NumPy, etc.

Data cleaning

Data management

Data analysis

Data visualization


Deep learning

Deep learning is another area that is related to computing. Good knowledge of deep learning concepts and neural network architecture is required. We cover all the basics of artificial intelligence, machine learning, and computer science. There are many aspects of deep learning.

Python libraries

Libraries make programmers' lives easier, improve teamwork, and speed up work. Depending on the nature of your projects, you should know which libraries can help you in your day-to-day work. Python is the community programming language and has answers to almost every question.


Once you've mastered the basics of Python, you should start working with a version control system. These systems allow you to iterate your code and track all changes. Using a version control system helps you in ways you won't understand until you start working with it.

The most popular version control system in the world is Git. Install Git and learn how to use it. Once you understand how Git works, you can integrate it into your GitHub account and use it as a repository for your code. You can use this repository to develop your own code in collaboration with other Python developers.

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