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Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects. Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances. Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems.


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  • Institute backed by strong IIT alumina Team
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  • More than 10,000 + success stories created
  • Partnered and served 100+ clients right from the inception of the firm
  • Parent company Quality Thought No #1 providing placements since 2010
  • Experienced IT Architects, subject matter experts as advisory in the board
  • Guaranteed Internship Opportunity (3 to 6Months) for every participant
  • Backed by a strong Internal human resource team enabling quick placements
  • Special guidance to students to win jobs with the highest packages


  • Industry ready course roaster designed by architects and subject matter experts
  • Proven content, creating a gateway to the world of Job opportunities
  • Practical & detailed approach, everyone can understand and perform to excel
  • Subject matter experts as trainers
  • Not just learning, Learn by doing methodology
  • Access to Instant recorded live Class videos shared
  • Personalized attention and guidance to accelerate the learning
  • Member, access to a private group to get instant doubt clarifications
  • Guest lectures from leading MNC Companies 


  • Software Projects and How We Organize Our Code
  • Sequence – The Basic Building Block of a Computer Program
  • Working with Data – Variables
  • Program Control Structures
  • Understanding Functions
  • When Things Go Wrong – Bugs and Exceptions
  • Programming Paradigms
  • Programming Tools and Methodologies
  • Software releases
  • Understanding software deployment Understanding software deployment
  • Software deployment process methodologies
  • Code Quality 
  • A Taste of Python
  • Data: Types, Values, Variables, and Names
  • Numbers
  • Choose with if
  • Text Strings 
  • Arguments and Parameters
  • Anonymous Functions: lambda 
  • Simple Objects
  • Inheritance
  • In Self Defense
  • Attribute Access
  • Method Types
  • Object Oriented Design
  • Objects in Python
  • When Objects are Alike
  • Modules and import Statement
  • Packages
  • Goodies in the Python Standard Library
  • Virtual Environments
  • System Integration Test Cases & Test Case Review Process
  • Requirement Traceability Matrix (RTM)
  • Test Data Preparation & Test Cases Review
  • Identify the procedure for Test Data Preparation
  • Planning for Test Execution & Test Environment Configuration
  • Test Environment – Test Management Tool
  • Setup Test Environment – Database Setup
  • The Fundamental Computer System
  • Putting the Fundamental Elements Together
  • How to Be a Highly Performant Programmer
  • Bytecode: Under the Hood
  • Unit Testing During Optimization to Maintain Correctness
  • Asynchronous I/O
  • Serial Crawler
  • Shared CPU–I/O Workload
  • The multiprocessing Module
  • Estimating Pi Using the Monte Carlo Method
  • Estimating Pi Using Processes and Threads
  • Finding Prime Numbers
  • Verifying Primes Using Interprocess Communication
  • Sharing numpy Data with multiprocessing
  • Synchronizing File and Variable Access

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