Python is a widely adopted programming language, utilized in over 122,864 sites and favored for its robust libraries and versatility in web development. Key frameworks like Django, TurboGears, Flask, and others support various application types and enhance developer productivity. The document also mentions tools like NumPy, pandas, and Matplotlib, which are integral for data manipulation and visualization in Python.

2. About Python
. Python as the most adopted framework,
outperforming C# and PHP.
2. Around more than 122,864 sites are
developed using Python, with 93,197
exceptional businesses.
3. Python is popular due to its enhanced
libraries, and its appropriateness for a
small and vast scale web development
projects.
4. Python developers are in extensive
demand in diverse industries such as
machine learning, databases, data
analysis, web scraping, security, mobile
development, and so on.

3. ❖ Django is an open-source Python platform.
❖ This technology is efficient enough to build
complex data-driven sites.
❖ The platform is rich in attributes such as
libraries, templates and APIs that support
development of scalable web-development
projects.
❖ Django is used in several popular websites
such as Instagram, Pinterest, Bitbucket,
Nextdoor, and The Washington Times.

4. TurboGears
❏ TurboGears is a web application
development platform.
❏ It is comprised of Web Server Gateway
Interface (WSGI) elements, including
SQLAlchemy, Repoze, and WebOb.
❏ TurboGears works around MVC
architecture and supports rapid web
application advancement.
❏ It not only acts as a full stack but also as a
microframework solution, with MongoDB as
a first citizen storage.

5. ➔ Numpy-Numeric Python is a library that
assists in performing scientific and logical
activities on arrays.
➔ It is a multidimensional array of objects as
well as a collection of routines for
processing the arrays.
➔ Numpy enriches offshore Python
development with powerful data structures
and tools that ensure high-performance.

6. ★ Pandas is a BSD-authorized,
open-source Python library that gives
simple to utilize data structures and
data analytics tools to developers.
★ The technology is principally used in
academic and commercial domains,
including finance, economics,
analytics, and statistics.

7. ➢ Matplotlib is a plotting library for Python
and available with object-oriented API that
enables embedding of plots into the
application.
➢ The library supports the development of 2D
charts with a python script.
➢ It further support an assortment of plots
and graphs including histogram, power
spectra, bar charts, and error charts.
➢ The library has a module named Pyplot that
makes plotting simple with attributes such
as color line styles, formatting axes, and
font properties.

8. ● Flask is a micro-web framework.
● It does not require particular tools or
libraries.
● Its built-in development server supports for
unit testing.
● This Unicode based platform supports
RESTFUL.

9. ❖ This cross-platform web application
framework is written in Python.
❖ Since 2007, the technology
accompanies code editor, debugger,
and deployment tools.
❖ Web2py make it possible for a
developer to program dynamic web
content using Python.

10. ❏ Bottle is a WSGI micro web-framework.
❏ It can also be described as a distributed
module within a single file without any
dependencies other than the Python
Standard Library.
❏ The framework easily supports dispatching
with URL support, key/value databases and
templates, and a built-in HTTP server.

11. ➔ CherryPy enables developers to integrate
the CRUD (Create, Retrieve, Update and
Delete) functionalities in applications.
➔ It also aids in dealing with the project
irrespective of your location and time using
the user’s browser.
➔ When an application is developed using
CherryPy, it enable the application to keep
running on numerous HTTP servers.

12. ★ Falcon is yet another Python framework and
is best for developing small-scale
applications for backend.
★ The framework encourages the REST
architectural style and available with great
speed and makes backend and
microservice developments easy.
★ It comes with a number of add-ons,
templates, and complementary packages
an offshore python programmers need to
develop apps.

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