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Why should you learn Python?

What is the scope for Python?

Career opportunities in Python?

Job Profiles for Python Future of Python Where is Python Language used?

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Introduction to Python

Python is a High-Level programming language that is compiled and interpreted, becomes extremely popular programming language in the field of Application Development. It is used for software development, web development, scriptwriting, testing, machine learning, mathematics analysis, data analysis imitative from many languages that are C, C++, Java, Visual Basic .NET, SQL, PHP, Scala, Swift and many more. Python ensures faster code readable which means better designs with less codding. A python is a vast tool for creating an advance script on small and large scales.

Python is completely free and open-source. It is used by a large number of companies as well as research centers Google, YouTube, Yahoo, Nokia, Intel, NASA, Red hat, IBM, Cisco, HP, Pixar, etc. Python has various career options in the future, as a developer or as a data scientist.

Python used for?

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Build a web crawler using python.

Read & write Google sheets using python.

Generate dummy data for testing products using python.

Develop deploy websites

Overall, Python is used in web development, data analysis, microcontrollers, machine learning, game development, utility scripts, and rapid prototyping of software that will eventually be implemented in other languages

Why Python?

Simplicity

large community

Highly demand-supply ratio

Artificial Intelligence and Machine Learning.

Important Features of Python

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It is completely object-oriented and it is not typed statically.

Programs are written as files, and with the .py extension.

For Python, each module has its own namespaces.

All Namespaces with modules are always global.

We can directly execute .py files.

Most data types in Python – Boolean, Numbers, Strings, Lists, Tuples, Bytes, Sets, Dictionaries.

Interpreted Language – This makes debugging easy.

Graphical User Interface programming support.

Integrated – easily integrated with languages like c, C++, Java, etc.

Free and Open Source.

Scalable – It provides a better structure, support for large programs.

It can be used as scripting languages for building large applications.

Career Opportunities in Python

There is a high demand for python developers in India. Apart from Ruby, after Swift, Python developers are more in demand and thus earns large packages. Python is also in use for cybersecurity.

It has been found that the Python programming language is currently the most popular language for Data Scientists worldwide. Python is one of the fastest-growing programming languages in the United States, United Kingdom, Germany, and Canada. Python scope is intensive in data science and analysis. It is preferred in Data Scientists, Artificial Intelligence and Machine Learning. Job boards like Naukri and Indeed offer around 30,000 to 50,000 jobs that are available for python. It means that Career opportunities in India are High.

Python Jobs Profiles 3. DevOps Engineer Analysis of user requirements Write and test code Write useful documentation Develop actual programs Closely work with consult clients and staff

Analysis & resolve technical issue Develop script and automation visualization Technical Support Deploy updates and fixes Design procedures for maintenance troubleshooting

Review and debug code Development excellent software architecture Perform validation Perform authentication testing Implement design Pattern

Perform data visualization Designs predictive models Design machine learning algorithms Identify data sources and automate the collection Propose solutions and business challenges

Python Jobs Profiles

Build analytical tools to generate insight, discover Pattern and predict behavior Implementation of machine learning algorithms Implement statistics algorithms Propose ideas for leveraging possessed data Communicate & findings Business partners

Popularity of Python

Python Future

The science and engineering of making intelligent machines that have the strength to complete goals like humans do. Artificial Intelligence & ML are used for processing and analysis, our brain can analysis extensive amounts of data but its capability is finite by the figure of data it can consume any stage. AI improve the business efficiency. It means that many industries and organization used Artificial Intelligence and machine learning tool for improve the performance and product development.

Artificial Intelligence and Machine Learning tools have different frameworks, libraries and tools that replace human efforts, but it also boost accuracy and efficiency.

General AI: AIMA, EasyAI, SimpleAI, PyDatalog, Machine Learning: PyBrain, scikit-learn, MDP toolkit, MIPy, GraphLab Create, Pandas, Keras, NLTK, StatsModels, Caffe, PyPI repository.

Python for Artificial Intelligence & ML Artificial Intelligence & ML uses in Different areas and organizations 1.

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Healthcare and medicine : Robotics, Medical Record.

Education: Conferencing, Robotic Tutor Assistants.

Travel: Display Dashboards, Fintech: Banking, Insurance, invest management software – Venmo, Affirm, Robinhood.

Marketing: Responsive paid ads, Data Analytics, Small Business: Customer recommendations, observing and analysis data.

Retail & E-commerce: Preventing cart abandonment, Chabots for retail, Customer assistance.

Public Relations: Audience insights, Social interactions.

Human Resourses (HR): Recruitment, Blind Hiring, Candidate suggestions.

Benefits of Artificial Intelligence & ML • • • • •

Increase product Development Optimize internal operations Make exceptional decisions Optimize external operations Free workers to be more creative

Python for Big data Python is a Excellent tool and perfect fit as a big data combination for data analysis. It consider best programming language for programmers. Python enables for developers to build big data application in short time. It support wide range of libraries that are : NumPy, SciPy, Scikit-Learn, Theano, Pandas, Statsmodels and NLTK. While woking on big data projects, it supports many visualization tools that are: Matplotlib, Seaborn, Bokeh and Altair.

Open Source: It is a open source programming language, can be run windows and Linux environment.

It support multiple platforms Library Support: • Numerical computing • Data analysis • Statistical analysis • Visualization • Machine learning

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It’s a bag of powerful scientific packages.

Compatible with Hadoop Easy to Learn Scalability Large Community Support

Python for Networking Python plays necessary role in network programming. The library of python full support for network protocols : FTP, HTTP. There are two level of network services access in python: High Level and Low level.

In low level Network programmers can access socket support.

In high level application protocol (FTP, HTTP) can be access.

Sockets use protocols for determining the connection type for port-to-port communication between client and server machines. The protocols are used for: Domain Name Servers (DNS) IP addressing E-mail FTP (File Transfer Protocol) etc...

Python for Web development In today’s world there are kind of alternatives to promote business through websites and applications.

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Gather your Audience 24 X 7 Accessible Global Marketing Credible Course Python support Frameworks such as Django and Pyramid.

Micro-frameworks are Flask and Bottle

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Easy-to-use socket interface.

E-mail processing.

Support for AMAP, FTP. Support for HTML, XML. JSON

Web Programming in Python Programming in web application : Client and server using python

WebServices - tools for accessing and providing functionality via APIs over the Web WebBrowserProgramming - interfacing with existing browsers and browser technologies WebClientProgramming - writing clients, typically at a lower level than a full Web browser

WebFrameworks - develope server-side Web applications.

CgiScripts - information on writing CGI scripts in python.

WebServers - server solutions written in Python ContentManagementSystems - solutions specially designed for organising and publishing content WebServices.

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