A Python Developer is in charge of writing, developing, delivering, and debugging development projects, which are often server-side (or back-end). They may, however, assist firms in developing their technical foundation. They may be requested to produce an application for your employer, design the framework for your code, build tools as needed to complete the task, build websites and integrable systems, or publish new services.

1. Ways To
Become A
Good Python
Developer

2. Python is a high-level programming language
that is general-purpose, interpreted,
interactive, and object-oriented. Guido van
Rossum designed it between 1985 and 1990.
Python source code, like Perl, is accessible
under the GNU General Public License (GPL).
About Python

3. STATISTICS ABOUT PYTHON
DEVELOPER
Let's have a look at the rising Python development trends you
should be aware of in 2022.

4. Skills Required for Python
Developer
Expertise In Core Python
Good grasp of Web Frameworks
Object Relational Mappers
Road to Data Science
Machine Learning and AI Deep Learning
Understanding of Multi-Process
Architecture
Analytical skills
Design Skills
Communication skills

5. How to Become a Python Developer in
Three Steps:

6. When working with any programming language,
reading and writing files is a regular process. You
can write code that reads data or instructions from
a file and then writes the data back.
Benefits: This improves efficiency while decreasing
manual labour.
Learn to Read and Write
in Python

7. Work on Projects With Python
To Develop Your Skills
Working on projects as a developer may help you
enhance not just your talents but also your résumé,
increasing your chances of landing that ideal job.

8. Develop a Portfolio of Projects
Completed With Python
A portfolio should not be a compilation of homework
problems from a class or answers to book exercises. All it
truly demonstrates is that you understand the syntax and
fundamental principles of a language. It's also difficult to
identify whether someone produced their own solutions to a
standard set of tasks or found them online.

9. Reasons for using Python

10. To make maintenance and upgrades easier, you should focus on
the quality of the source code while creating a software
programme. Python's syntax rules enable you to express
concepts without writing additional code. Simultaneously, unlike
other programming languages, Python places an emphasis on
code readability and allows you to utilise English terms instead of
punctuation.
Readable and Maintainable
Code

11. Python excels other programming languages due to its vast and
strong standard library. The standard library allows you to select
from a wide choice of modules based on your specific
requirements. Each module also allows you to extend the
functionality of the Python programme without writing new code.
Robust Standard Library

12. Python, being an open source programming language, may
dramatically reduce software development costs. You may also
leverage a variety of open source Python frameworks, libraries,
and development tools to save development time while raising
development costs. You may also select from a large choice of
open source Python frameworks and development tools based
on your specific requirements.
Many Open Source
Frameworks and Tools

13. Simplify Complex Software
Development
Python is a computer language that may be used for a variety of
purposes. As a result, you may utilise the programming language to
create both desktop and online apps. Python may also be used to
create complicated scientific and numerical applications. Python is
built with capabilities that make data processing and visualisation
easier.

14. Python may be used to quickly construct a software application
prototype. Furthermore, by reworking the Python code, you may
construct the software application directly from the prototype.
Python even makes it easier to code and test at the same time by
using a test-driven development (TDD) technique. You may quickly
write the necessary tests before developing code and use the tests
to regularly examine the application code.
Adopt Test Driven
Development

15. Python is compatible with a wide range of operating systems.
Python interpreters can even be used to run the code on certain
platforms and tools. Python is also an interpreted programming
language. It enables you to run the same code on many
platforms without having to recompile it. You may execute the
updated application code without recompiling it and instantly
see the impact of the code changes.
Compatible with Major
Platforms and Systems

16. Python, like other modern programming languages, allows a variety
of programming paradigms. It completely supports object-oriented
and structured programming. Furthermore, its language features
support a wide range of concepts in functional and aspect-oriented
programming. Python has a dynamic type system as well as
automated memory management. Python's programming
paradigms and language features enable you to create huge and
complicated software applications.
Multiple Programming
Paradigms

17. Python Libraries
A Python library is a collection of modules that are related to one
another. It includes code bundles that may be reused in several
apps. It simplifies and facilitates Python programming for the
programmer. Because we don't have to write the same code for
multiple projects. Python libraries are extremely important in
domains such as machine learning, data science, data
visualization, and others.

18. Python Frameworks

19. Django is a free and open-source full-stack Python framework
that comes with all of the required functionalities by default. It
adheres to the DRY principle, which states that you should not
repeat yourself. Django's ORM mappers are used to map objects
to database tables. An object relational mapper, or ORM, is a
code library that allows you to modify data from a database
using the object-oriented paradigm.
Django

20. Web2Py is a full-stack framework that is open source and
scalable. It does not support Python 3 and has its own web-
based IDE with a separate code editor, debugger, and one-
click deployment. It has no requirements for installation or
configuration. It is capable of running on a variety of systems.
Examples include Windows, Mac, and Linux.
Web2Py

21. Flask
Flask is a small framework. It is lightweight, and its modular
architecture allows it to readily adapt to the demands of
developers. It includes a development server. It has a quick
debugger and integrated unit testing capabilities.

22. Bottle is a micro-framework which is originally meant for
building APIs , bottle implements everything in a single
source file. It has no dependencies whatsoever apart from
the python standard library.
Bottle

23. CherryPy is a free and open-source Python framework. It
takes a minimalist approach to developing web apps. It is
akin to constructing an object oriented programme while
creating web apps. It enables us to employ any form of
technology for template creation and data access. It can
still manage sessions, cookies, statics, file uploads, and
anything else that a web framework can.
CherryPy

24. THANK YOU
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