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Python For Beginners Y

Course

PYTHON FOR BEGINNERS Y

Category

Python IT Training

Eligibility

Freshers and Career Changers

Mode

Online and Offline Classes

Batches

Week Days and Week Ends

Duration :

Fast Track and Regular 60 Days

Python What will you learn?

•Learn how to code in Python.
•What are the advantages of Python?
•How to create an Python project from scratch.
•Eliminate duplicate code and consolidate script files using Python.
•Write Compile and Run codes and apps using Python.
•Learn Pythonat a minimal cost and enjoy the instructor support.
•Learn to code in Python from scratch with hands-on projects
•Learn Python. Become Developer in Test and Kick-start your Career in IT.
•Learn the absolute basics about Python from scratch and take your skills to another level

python for beginners y Training Highlights

•Additional Sessions for Doubt Clearing
•Get Training from Certified Professionals
•Software & others tools installation Guidance
•Our Trainers with 15+ years of teaching Experience
•Facility of Lab on cloud available (based on booking)
•We provide you with your recorded session for further Reference
•We also provide Normal Track, Fast Track and Weekend Batches also for Working Professionals
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Python

•Cloud Computing, Information Security, Network Security, Windows System Administration, Windows Server
•Cognos Developer, Ab initio developer, Java Developers, .net Architects, Informatica, MSBI, Tivoli Monitoring, Oracle Apps functional and technical, change
•Java, J2EE, Machine Learning, Image Processing, UI Design, UX Developer, C++, Python, Perl
•Php Developer, Web Designing, Telecaller, Web Designer, Css, Javascript, Ajax, Bootstrap, Mysql, Web Technologies, Web Development, Ui Developer
•webdesigner, informatica, datastage, teradata, mircostrategy, Sap Abap, QA Tester, Green hat tester, salesforce, asp.net developer, tibco, Hadoop

PYTHON FOR BEGINNERS Y Topics

Platform independent
•Python Data objects
•Modular approach
•Downloading Python interpreter
•Python interpreter- an overview
•Python shell evironment
•Data types and operators
•Numerical data types
•Relational Operators
•Logical operators
•String data type
•Exercise 2
•Solution to Exercie 2
•Data objects in Python
•Numerical data objects
•Some buit in Numeric Modules
•String data objects
•Importing string Module
•Slicing Strings
•List data object
•Nested lists
•Tuple data objects
•Tuple and List as members
•Set objects
•Dictionary data object
•Exercise 3
•Solution to Exercise 3
•Input and Output statements
•Input and print statements
•Formating the output with format() and fstring
•Formatting with fstring
•Exercise 4
•Solution to exercise 4
•Functions
•Some Built in Funtions
•User defined function and scope of variables
•Example of user defined function
•document string
•Function Arguments
•Keyword Arguments
•lambda Function
•Exercise Section 5
•Solution to Exercise 5
•Conditinal statements
•if -else statement
•if -elif statement
•Exercise 6
•Solution to Exercise 6
•Looping Tecnhiques
•For loop
•List comprehension
•Tuple Comprehension
•While statement
•Exercise section 7
•Solution to Exercise 7
•Conclusion