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This Repository contains the details of the python concepts, day wise learnings and notebooks which helps to learn python.

• [Syllabus][https://github.com/SurendraRedd/Python_Training/blob/main/Syllabus.md]

• Python is a programming language and simple to use. It is used to develop GUI, Web App development(Flask,Django,Streamlit,Bottle), API Development(SOAP,REST,GraphQL..), Testing applications(Selenium,Robotframework,Cypress.io(Angular, node, react,endtoend js,RPA,Katlon,pytest,BDD,Cucumber,unittest), Machine Learning, Data Analytics (pandas,ploty,dash),Kiwi(mobile app),Work Automation,Appium...etc
• Python is a interpreter means codes are interpreted line by line at a time using the interpreter.
• Python is a dynamically typed means no need to define the type int,string,char n =10;fl=10.234
• Python has integration to many packages which makes so powerful.
• Python is cross-platform & free and open source programming language.

• Download the python3
• Select the user defined directory and select the path

• Install python 3.6 in user defined folder C:\Python36.
• Install python 3.7 in user defined folder C:\Python37.
• PYTHON36_HOME: C:\Python36, PYTHON37_HOME: C:\Python37
• Path: %PYTHON36_HOME%;%PYTHON36_HOME%\Scripts;%PYTHON37_HOME%;%PYTHON37_HOME%\Scripts;
• C:\Python36\python.exe → C:\Python36\python36.exe,C:\Python37\python.exe → C:\Python37\python37.exe
• python36 -m pip install package,python37 -m pip install package

• Jupyter Notebook (ML & Data Analytics) — Run python html
• Jupyter Lab (ML & Data Analytics)
• Google Colab
• Deep Note
• Repl(Read-Evaluate-Print-loop)it https://replit.com/~

• Programming Hero

• Visual Studio Code Editor(best)
• Py Charm
• Sublime
• Atom
• Spider

• python -m venv venv(name of the environment)