Python is widely used by businesses such as Netflix, Google, Facebook, Reddit, YouTube, and Instagram. This article will help you discover how to become a dedicated python developer. Let’s started!
Table of Contents
1. What is a python developer?
A Python Developer is in charge of coding, designing, deploying, and debugging development projects, which are typically server-side (or back-end). They may also assist companies with their technological framework.
Furthermore, a Python Developer may be asked to design the framework for your code, build tools as needed to get the job done, create websites and integrable systems, or publish new services for your employer.
A dedicated Python Developer will be expected to understand the language at a deeper level and be capable of using Python to perform a wide range of tasks, including data collection and analytics, database creation, web development, design, scripting, and automation are just a few examples.
2. What skills do a python developer need?
2.1. Python skills
A Python Developer must have a deep understanding of Python that goes beyond what other colleagues in data science, web development, or other fields are expected to know. A Python Developer must be familiar with object-oriented programming, as well as basic Python syntax, semantics, primitive data types, and arithmetic operators.
2.2. Python libraries
The vast number of libraries available is one of Python’s major selling points. A Python Developer should be well-versed in what’s available and make full use of available libraries. Begin by exploring the Python Package Index (PyPi) and getting acquainted with popular libraries such as Pandas and NumPy.
2.3. Python framework
A Python Developer should be familiar with the frameworks that can be extremely useful depending on the task, such as Django, Flask, CherryPy, web2py, TurboGears, and Grok.
2.4. ORM libraries
Object Relational Mapper (ORM) libraries, such as SQLAlchemy or Django ORM, allow a Python Developer to create and modify data and schemas in their database using Python code rather than SQL.
3. What Tools Do Python Developers Use?
3.1. Data science Python tools
Scikit-Learn is an open-source data mining and analyzing tool used by Python Developers, Machine Learning Engineers, and Data Scientists. Keras is a Python-based high-level neural network library that is easy to utilize and well-suited to machine learning and deep learning. Theano is a Python library for evaluating math computations that work well with NumPy. SciPy is also used in technical and scientific computing.
3.2. Automation testing Python tools
Selenium is popular for a reason: it enables Python developers to write scripts in a variety of other languages, including C#, PHP, Perl, Ruby, and Java. Selenium also enables you to run tests from any browser on any of the three major operating systems. Robot Framework is an open-source test automation framework designed for acceptance testing that works not only with web apps but also with iOS and Android test automation. TestComplete, like Robot Framework, is an automation testing software that requires a commercial license.
3.3. Web scraping Python tools
LXML is a robust Python-based tool for C libraries. Beautiful Soup is a Python library that saves time for projects like screen scraping. Scrapy is an open-source Python framework that crawls web pages and extracts data from them.
4. How to become a python developer
If you are a new or experienced developer looking to become a Python developer, the first and most important skill you must learn is Python.
This may seem obvious, but there are some things to keep in mind when learning or becoming proficient in Python and its frameworks such as Django, Flask, and others.
4.1. Always follow the “Do Approach”
If you’ve started or finished learning the language, you know that it’s not something you read once and then you’re a genius. It takes perseverance and a consistent pattern of “do it.” Complete your basic revision. Practice your coding. Work on the development aspect. Make every effort to learn. Just keep going.
4.2. Participate in the programming community.
“Alone, we can do so little; together, we can do so much,” as the saying goes.
When you limit yourself to only your learning, you will never learn to grow, accept new perspectives, or see the other side of things. This is not meant to compel you to enroll in professional programming classes, but rather to emphasize the importance of communicating even if you are a self-learner. Be an active member of the community and you will be amazed at how much you will learn.
Share codes, answer questions, discover new ideas, and start meaningful conversations.
4.3. Work not for pay but for learning
Doing something is the best way to learn. Take action to breathe new life into the practice you’ve been doing for months. Take on freelance small projects or startups as a great way to learn without much pressure. You can learn to handle various responsibilities, manage your time and studies, and shed light on your flaws and strengths.
You could also begin teaching your juniors. This will give you the opportunity to practice your work while also passing on information to students at your level a year ago.
Share your experiences with them and continue to learn as you go.
4.4. Participate in Webinars and Seminars
The internet contains a massive amount of information. Attend small workshops or detailed webinars to brush up on your basics or become a part of a talk or concept you’ve never heard of in programming. Continue to reinvent your methods of learning and growing.
4.5. Don’t get too comfortable.
There will always be a dip in the learning curve during the developer’s learning period. You may believe that everything is finished, that you have coded enough, and that you know a lot of things. But then you have to say, “No! I’m not finished!” Make an effort to learn about what you’re missing. Do this after a few days of rest, but don’t let your rest turn into procrastination.
The key to becoming a great developer is not how much code you write, but how much quality you maintain. Write one line of code per day, but do it efficiently.
4.6. Read Python Coding Books
Even if you’re a seasoned Python programmer, there’s always something new to learn. Python coding books will also provide you with a wealth of new information. The more you learn, the more self-assured you’ll become. Here are some of the most popular Python books:
- Popular Python books
- Python for Data Science
- The Key to Top Data Science Job RolesEXPLORE COURSED
- Python-based Science
4.7. Expand Your Python Knowledge
Grow your skill set if you want a dependable way to improve your Python experience and stay competitive. In addition to reading books on the subject, you should be familiar with some of the Python libraries listed below: Tip 8: Accept Freelance Projects
If you want to be a Python developer, you must write code and create projects. You must also accept freelance work from others. Having completed projects in your repository, whether paid or unpaid, will pay off in the long run.
You can look for freelance work as a python developer on the following websites:
- Freelancer
- Upwork
- Twago
- PeoplePerHour
- Fiverr
- Truelancer.com
4.8. Make Open Source Contributions
You can browse other people’s GitHub repositories and contribute to their associated projects. This practice demonstrates your ability to work as part of a team by adding value to existing work.
Some popular open-source Python projects to which you can contribute are:
Chatistics: Python scripts to parse your Messenger, Hangouts, and Telegram chat logs into DataFrames.
Pipenv: Python Development Workflow for Humans.
Som-TCP: Using Self-Organizing Maps to Solve the Traveling Salesman Problem.
Py2bpf is a Python-to-Berkeley Packet Filter bytecode (BPF) converter.
4.9. Start a blog and write about what you’ve learned.
A blog boosts your profile’s credibility. You can write about how you got started as a beginner, your journey to becoming a python developer, the materials you used to gather information, the projects you worked on, and so on. As a result, recruiters can quickly learn your coding style by scanning your profile.
4.10. Maintain a Daily Practice Schedule
You should not stop coding just because you have mastered the language. To become a Python developer, you should set aside some time each day to write code so that you are familiar with every aspect of Python. Every day, write something, whether it’s simple or complex code. You will remember lessons better if you continue to use them.
4.11. Keep your resume and profile on job boards up to date.
Check that your information on job boards like LinkedIn, Indeed, Glassdoor, and CareerBuilder is up to date. Always keep an eye out for Python developer jobs on these sites, and keep your resume up to date so that recruiters notice you.
5. What Is a Python Developer’s salary?
In the United States, the average python developer salary is $121,886 per year or $62.51 per hour. Entry-level salaries begin at $100,000 per year, with most experienced workers earning up to $155,042 per year.
Python developer’s salary will base on skills and experiences to give a suitable salary.
Experience
Why do Python developer salaries vary? As usual, their levels are heavily influenced by their level of experience. Despite the fact that the list of responsibilities varies depending on the employer, Python developers are typically involved in:
- Quality application design and implementation
- Developing reusable and efficient code
- Bringing user-facing elements together with server-side logic,
- Creating data storage solutions.
As you might expect, experience with these tasks influences Python programmer pay. ZipRecruiter reports:
- The average annual salary for an entry-level Python developer in the United States is $78,176.
- The average salary for a junior Python developer is $80,499 per year.
- The average salary for a mid-level Python developer is $111,899 per year.
- While the average salary for a senior Python developer is $130,268.
- The framework that the developer prefers also makes a difference. Django is one of the most well-known Python frameworks. This could explain why the average Django developer salary is $117,673.
