Design and analysis of algorithms fifth unit material pdf download

Design and analysis of algorithms fifth unit material pdf download

syllabus:

UNIT - V

Branch and Bound- General Method, applications-0/1 Knapsack problem, LC Branch and Bound solution, FIFO Branch and Bound solution, Traveling sales person problem. NP-Hard and NP-Complete problems- Basic concepts, Non-deterministic algorithms, NP - Hard and NP- Complete classes, Cook’s theorem.

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modern software engineering first unit material

modern software engineering first unit material

syllabus: 

UNIT - I

Introduction Extreme Programming (XP) - Agile Development

Why Agile - Understanding Success, Beyond Deadlines, Importance of Organizational Success, Introduction to Agility, How to Be Agile - Agile methods. Don't make your own method, Road to mastery, Understanding XP (Extreme Programming) - XP life cycle, XP team, XP Concepts, Adopting XP - Knowing whether XP is suitable, Implementing XP, assessing Agility, Practicing XP - Thinking - Pair Programming. Energized work, Informative Workspace, Root cause Analysis, Retrospectives.

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modern software engineering second unit material

modern software engineering second unit material

syllabus:

UNIT - II

Collaborating: Trust, Sit together, Real customer involvement, Ubiquitous language. meetings, coding standards, Iteration demo, Reporting.

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modern software engineering third unit material

modern software engineering third unit material

syllabus:

UNIT - III

Releasing: Bugfree Release. Version Control, fast build, continuous integration, collective ownership. Documentation.

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modern software engineering fourth unit material

modern software engineering fourth unit material

syllabus:

UNIT-IV

Planing: Version, Release Plan, Risk Management, Iteration Planning, Slack, Stories. Estimating.

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modern software engineering fifth unit material

modern software engineering fifth unit material

syllabus:

UNIT - V

Developing: Incremental requirements, Customer tests. Test-driven development. Refactoring, Incremental design, and architecture, spike solutions, Performance optimization, Exploratory testing.

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python syllabus

Download python syllabus, materials, and important questions

syllabus

UNIT - I 

Python Basics, Objects- Python Objects, Standard Types, Other Built-in Types, Internal Types, Standard Type Operators, Standard Type Built-in Functions, Categorizing the Standard Types, Unsupported Types Numbers - Introduction to Numbers, Integers, Floating-Point Real Numbers, Complex Numbers, Operators, Built-in Functions, Related Modules Sequences - Strings, Lists, and Tuples, Mapping and Set Types 

UNIT - II 

FILES: File Objects, File Built-in Function [ open() ], File Built-in Methods, File Built-in Attributes, Standard Files, Command-line Arguments, File System, File Execution, Persistent Storage Modules, Related Modules Exceptions: Exceptions in Python, Detecting and Handling Exceptions, Context Management, *Exceptions as Strings, Raising Exceptions, Assertions, Standard Exceptions, *Creating Exceptions, Why Exceptions (Now)? Why Exceptions at All?, Exceptions and the sys Module, Related Modules Modules: Modules and Files, Namespaces, Importing Modules, Importing Module Attributes, Module Built-in Functions, Packages, Other Features of Modules

UNIT - III 

Regular Expressions: Introduction, Special Symbols and Characters, Res and Python Multithreaded Programming: Introduction, Threads and Processes, Python, Threads, and the Global Interpreter Lock, Thread Module, Threading Module, Related Modules 

UNIT - IV 

GUI Programming: Introduction, Tkinter and Python Programming, Brief Tour of Other GUIs, Related Modules, and Other GUIs WEB Programming: Introduction, Wed Surfing with Python, Creating Simple Web Clients, Advanced Web Clients, CGI-Helping Servers Process Client Data, Building CGI Application Advanced CGI, Web (HTTP) Servers 

UNIT – V 

Database Programming: Introduction, Python Database Application Programmer’s Interface (DB-API), Object Relational Managers (ORMs), Related Modules 

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About the python programming language

A Python is a general-purpose, high-level, interpreted language with easy syntax and dynamic semantics.
- it was created by Guido van Rossum in 1989.
- Python is an object-oriented programming language, it is called interpreted language because python doesn't convert code into machine code, it simply converts the program code to bytecode.
- within python compilation happens but it's not into a machine language.
- within the environment of python the code is executing in the form of byte code.
- byte code being created and which is not further understood by the CPU.
-  CPU doesn't know what is bytecode, so we actually need an interpreter.
- interpreter is a python virtual machine (PVM) is the one which executes the bytecode. 


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