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Major Python skills that you must have (For Python developers)
Python
A
Python developer makes use of the Python programming language, frameworks, and
tools to design, program, and modify applications/websites. There are several
roles and domains a Python developer can opt for. A Python Developer’s role can
involve an extensive variety of duties. The role consists of coding, devising,
executing, and debugging development projects, both on the back-end and
server-side. The technological framework of the companies is looked after by
python developers as well. A Python Developer works closely with analytics and
data collection to formulate necessary answers to questions. Developers also
provide valuable insight. Like other programming positions, the needs of this
job vary based on the requirements of your employer. Some Python Developers
work independently as contractors instead of working for one company.
If
you are wondering what are the required technical abilities and soft skills for
a Python developer? Let’s take a look at skills now!
Excellent Debugging Skills:
Being
a beginner-friendly language, Python is said to be easy to start your coding
career. But there are several scenarios where you anticipate receiving a
different output rather than the one you have got. A few of these cases can be
when functioning with range() function, which results in an off-by-one error,
failing to close a file, division by a negative number (resulting in an
unwanted number that rounds towards the negative part of the number line), etc.
Therefore, it makes it very important to have the skills of debugging. Some
steps to debug are by just printing out variable values, modifying the path of
the program, stopping the execution of some events, and using a debugger.
Experience with Python
Frameworks: Frameworks
reduce the development time by automating the implementation of redundant
tasks. They empower developers to focus solely on application logic instead of
routine elements.
Since Python is one of the best programming languages, there is no dearth of
frameworks for Python and each framework has its own set of benefits and flaws.
Thus, the choice has to be made based on the requirements of the project and
the developer’s preference. The major plus point of using a framework in place
of a library is its versatility Instead of writing comparable code for every
project, Python developers can find pre-written components in the framework. It
not only saves your money and time but also lessens time-to-market.. They are
extensible and equip us with the required tools to increase their features. If
you have a library, you have to know about each functionality to execute
specific operations. However, with frameworks, it becomes comparatively simple
owing to the structured control of the flow. Your work is to redirect our
operations with the help of certain operations utilizing the functionalities
already dominant in the framework. Though there is an end number of frameworks
available in the market for web development, there are primarily three types of
Python frameworks, namely full-stack, micro-framework, and asynchronous.
Django: If you have decided to
master one Python framework, make it Django. Django is super functional, a
highly scalable, and fast framework. With Django, you can develop any web
application from small projects to large corporate websites. Django is also the
most sought-after for machine learning projects. Django has a vast user base,
making it easy for debugging and seeking support from the community.
Flask: Flask is an exceptional
skill for Python developers is much easier to learn for Python coders compared
to Django. Flask is a necessary Python microframework you should know if you
want to pursue the role of developer.
CherryPy
CherryPy,
one of the most used Python microframeworks has a minimalistic approach.
CherryPy enables Python developers to use any type of technology for data
access, templating, etc.
Usage of Python Shell: Python offers a robust
shell of its own that allows you to run commands in isolation and entirety. It
is also known as REPL (read, evaluate, print, loop) which indicates it reads
the command, evaluates it, prints the outcome, and awaits the next command.
This text-based command prompt, Shell lets you test code without explicitly designing
a file. As a python developer, you should understand how to utilize this python
interpreter because it can cut down a lot of time during testing out new pieces
of code.
Experience in core Python: Python Developer should
know core python. The dearth of knowledge can lead to a negative impact on an
individual as well as on the company also.
Python Developer should know of –
Iterators
Generators
OOP concepts
Data structure
Exception handling
Object Relational Mapper: ORMs (Object Relational
Mappers) are a class of libraries that expedite the shift of data from a
relational database to Python objects. In a nutshell, an object-relational
mapper is a method that modifies data between incompatible types adopting
object-oriented programming languages. ORMs can create a virtual object
database, which is used within Python or any other language. The most important
advantage for developers using an ORM library is that they can reduce a
considerable amount of time by granting them the flexibility to change to another
relational database when needed. Using ORMs, Python developers can keep writing
in Python code rather than using SQL to build and update data schemas.
Python Libraries: Python has several
exceptional benefits, and one of them is its extensive collection of libraries.
As per the Python Package Index, Python has more than 267,000 projects. Well,
this means there is a solid chance that whatever you’re trying to create, a
package already exists that can make the development easier for you. When
programmers intend to design something or are stuck in the middle of a project,
they have access to all these libraries that have the required documentation
and guidance. Below mentioned are some of the Python libraries that developers
should use in their projects.
TensorFlow- TensorFlow is one of the
best Python libraries devised for executing out high-performance numerical and
scientific calculations.
Requests-
Being an HTTP library, requests intends to make the task of designing and
sending HTTP requests to your Python applications more comprehensible.
Matplotlib- Matplotlib is
unquestionably one of the most successful visualization libraries for Python.
Being used by many businesses and individuals, Matplotlib allows you to
visualize your data in many different ways.
Peewee- Peewee enables developers
to operate with databases without involving in the complexities of a relational
database management system. The library backs many popular databases, including
MySQL, SQLite, CockroachDB, and PostgreSQL.
Machine Learning and AI: We are residing in a
digital time, which makes it almost difficult to move away from industries such
as Artificial Intelligence (AI) and Machine Learning (ML). Even web apps can be
extremely helpful by adopting these technologies. When Python developers work
with this language and work with data science, they can further work with
neural networks, data collection, data analysis, and data visualization having
a vivid synopsis of your web application. Think about it, when Python
developers are experts in data science, they can obtain, envision and interpret
the information extracted from the data. This makes them have a transparent
picture of where the business application is heading and even predict user
behavior.
While interviewing for the role of a Python developer, it’s a huge advantage if
you are an expert in AI/ML and Data Science. For this, you need to make sure
you have a strong understanding of Machine Learning Algorithms.
Multi-process architecture:
When
designing a web application, to separate the application’s internal working
from users, Python developers require development architecture. Now, they have
simpler frameworks and architecture models including the Model View Template
architecture and the Model View Controller architecture. A Python developer
should possess a basic knowledge of how their code will work during release or
deployment environments. After learning about its architecture, they can
distinguish and resolve the problems in the core framework to obtain optimized
and excellent results.
List Comprehension and
Slicing: Slicing
and list comprehension are considered the most dominant features that are a
part of Python. Slicing is implemented to strings/lists and is capable enough
to carve out a part or subset of the list or string. It restricts you to
connect through indices with ugly if conditions and makes the code look rich
and fine. Talking about list comprehension, it is a mechanism to build a new
list based on a current list or additional structures like strings. This
reduces various lines of the loop into a single-line and easily understandable
syntax.
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