Cisco træning

Insoft Services er en af de få uddannelsesudbydere i EMEAR, der tilbyder hele spektret af Cisco-certificering og specialiseret teknologiuddannelse.

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Cisco-certificeringer

Oplev en blandet læringsmetode, der kombinerer det bedste fra instruktørstyret træning og e-læring i eget tempo for at hjælpe dig med at forberede dig til din certificeringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLCs) er forudbetalte træningskuponer, der indløses direkte med Cisco, og som gør det nemmere at planlægge din succes, når du køber Cisco-produkter og -tjenester.

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Cisco Efteruddannelse

Cisco Continuing Education Program tilbyder alle aktive certificeringsindehavere fleksible muligheder for at gencertificere ved at gennemføre en række kvalificerede træningselementer.

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Cisco Digital Learning

Certificerede medarbejdere er VÆRDSATTE aktiver. Udforsk Ciscos officielle digitale læringsbibliotek for at uddanne dig selv gennem optagede sessioner.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på at skærpe Cisco Channel Partners og kunders forretningsmæssige færdigheder.

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Cisco kursuskatalog

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Fortinet-certificeringer

Fortinet Network Security Expert (NSE) -programmet er et otte-niveau uddannelses- og certificeringsprogram for at undervise ingeniører i deres netværkssikkerhed for Fortinet FW-færdigheder og erfaring.

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Fortinet træning

Insoft er anerkendt som Autoriseret Fortinet Training Center på udvalgte steder på tværs af EMEA.

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Fortinet kursuskatalog

Udforsk hele Fortinet-træningskataloget. Programmet omfatter en bred vifte af selvstændige og instruktørledede kurser.

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ATC-status

Tjek vores ATC-status på tværs af udvalgte lande i Europa.

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Fortinet Professionelle Services

Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

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Microsoft træning

Insoft Services tilbyder Microsoft-undervisning i EMEAR. Vi tilbyder Microsoft tekniske kurser og certificeringskurser, der ledes af instruktører i verdensklasse.

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Extreme træning

Find all the Extreme Networks online and instructor led class room based calendar here.

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Tekniske certificeringer

Vi leverer omfattende læseplan for tekniske kompetencefærdigheder på certificeringspræstationen.

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Extreme kursuskatalog

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ATP-akkreditering

Som autoriseret uddannelsespartner (ATP) sikrer Insoft Services, at du får de højeste uddannelsesstandarder, der findes.

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Løsninger og tjenester

Vi leverer innovativ og avanceret support til design, implementering og optimering af IT-løsninger. Vores kundebase omfatter nogle af de største Telcos globalt.

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Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

Om os

Insoft tilbyder autoriseret uddannelses- og konsulentbistand til udvalgte IP-leverandører. Få mere at vide om, hvordan vi revolutionerer branchen.

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  • +45 32 70 99 90
  • Python Programming 2 (PYP2)

    Duration
    3 Dage
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørgsel
    The Python Programming 2 course comprises sessions dealing with advanced object orientation, iterators and generators, comprehensions, decorators, multithreading, functional programming, web services, and unit testing. The delegate will learn how to exploit advanced features of the Python language to build complex and efficient applications. Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.

    This course aims to provide the delegate with the knowledge to be able to interpret, write, and troubleshoot complex Python applications exploiting inheritance and polymorphism, mixins, composition and aggregation, iterators, generators, decorators, comprehension, concurrency, functional programming, and RESTful web services.

    The delegate will learn and acquire skills as follows:

    • Encapsulating classes
    • Exploiting polymorphism using inheritance and mixins
    • Associating objects via composition and aggregation
    • Working with static members
    • Using iterators as an alternative to for
    • Constructing custom iterators
    • Constructing functions that yield generators
    • Manipulating lists, sets, and dictionaries using comprehension
    • Exploiting aspect oriented programming using decorators
    • Writing multithreaded code
    • Sharing data between threads
    • Processing collections using lambdas
    • Building RESTful clients
    • Building RESTful APIs
    • Testing units of code

    Day 1

    Course Introduction

    • Administration and Course Materials
    • Course Structure and Agenda
    • Delegate and Trainer Introductions

    Session 1: ADVANCED OBJECT ORIENTATION

    • The self Keyword
    • Constructors and Destructors
    • Encapsulation
    • Inheritance
    • Polymorphism
    • Abstract Classes
    • Multiple Inheritance and Mixins
    • Composition and Aggregation
    • Static Members

    Session 2: ITERATORS & GENERATORS

    • Iterables
    • Iterators
    • Custom Iterators
    • Generators
    • Yield vs. Return

    Session 3: COMPREHENSIONS

    • List Comprehension
    • Set Comprehension
    • The zip Function
    • Dictionary Comprehension

    Day 2

    Session 4: FUNCTIONAL PROGRAMMING

    • Functional Programming
    • Lambdas
    • Immutability
    • Mapping
    • Filtering
    • Reducing

    Session 5: DECORATORS

    • Decorators
    • Decorator Functions
    • Decorator Annotations
    • Decorator Use Cases
    • Labs

    Session 6: MULTITHREADING

    • Threads
    • Multithreading
    • Thread Construction
    • Thread Execution
    • Thread Sleep
    • Joins
    • Data Sharing
    • Synchronisation
    • Multithreading vs. Multiprocessing

    Day 3

    Session 7: WEB SERVICES

    • RESTful Web Services
    • JSON Data
    • CRUD and HTTP
    • RESTful Clients
    • RESTful APIs

    Session 8: UNIT TESTING

    • Unit Testing Terminology
    • Test Classes
    • Test Fixtures
    • Test Cases
    • Assertions
    • Test Runners

    The Python Programming 2 course is designed for existing Python developers who have a good grounding in the basics and want to exploit some of the advanced features of the language.

    For the delegate for whom Python is their first programming language, we recommend taking the Python Programming 1 (PYP1) course first, then taking some time to practice the skills gained, before returning to take the Python Programming 2 course.

    Students should be able to build Python applications that exploit all fundamental elements of the language including variables and expressions, conditions and loops, functions, objects, and lists.

    This knowledge can be gained by attendance on the pre-requisite Python Programming 1 (PYP1) course.

    The Python Programming 2 course comprises sessions dealing with advanced object orientation, iterators and generators, comprehensions, decorators, multithreading, functional programming, web services, and unit testing. The delegate will learn how to exploit advanced features of the Python language to build complex and efficient applications. Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.

    This course aims to provide the delegate with the knowledge to be able to interpret, write, and troubleshoot complex Python applications exploiting inheritance and polymorphism, mixins, composition and aggregation, iterators, generators, decorators, comprehension, concurrency, functional programming, and RESTful web services.

    The delegate will learn and acquire skills as follows:

    • Encapsulating classes
    • Exploiting polymorphism using inheritance and mixins
    • Associating objects via composition and aggregation
    • Working with static members
    • Using iterators as an alternative to for
    • Constructing custom iterators
    • Constructing functions that yield generators
    • Manipulating lists, sets, and dictionaries using comprehension
    • Exploiting aspect oriented programming using decorators
    • Writing multithreaded code
    • Sharing data between threads
    • Processing collections using lambdas
    • Building RESTful clients
    • Building RESTful APIs
    • Testing units of code

    Day 1

    Course Introduction

    • Administration and Course Materials
    • Course Structure and Agenda
    • Delegate and Trainer Introductions

    Session 1: ADVANCED OBJECT ORIENTATION

    • The self Keyword
    • Constructors and Destructors
    • Encapsulation
    • Inheritance
    • Polymorphism
    • Abstract Classes
    • Multiple Inheritance and Mixins
    • Composition and Aggregation
    • Static Members

    Session 2: ITERATORS & GENERATORS

    • Iterables
    • Iterators
    • Custom Iterators
    • Generators
    • Yield vs. Return

    Session 3: COMPREHENSIONS

    • List Comprehension
    • Set Comprehension
    • The zip Function
    • Dictionary Comprehension

    Day 2

    Session 4: FUNCTIONAL PROGRAMMING

    • Functional Programming
    • Lambdas
    • Immutability
    • Mapping
    • Filtering
    • Reducing

    Session 5: DECORATORS

    • Decorators
    • Decorator Functions
    • Decorator Annotations
    • Decorator Use Cases
    • Labs

    Session 6: MULTITHREADING

    • Threads
    • Multithreading
    • Thread Construction
    • Thread Execution
    • Thread Sleep
    • Joins
    • Data Sharing
    • Synchronisation
    • Multithreading vs. Multiprocessing

    Day 3

    Session 7: WEB SERVICES

    • RESTful Web Services
    • JSON Data
    • CRUD and HTTP
    • RESTful Clients
    • RESTful APIs

    Session 8: UNIT TESTING

    • Unit Testing Terminology
    • Test Classes
    • Test Fixtures
    • Test Cases
    • Assertions
    • Test Runners

    The Python Programming 2 course is designed for existing Python developers who have a good grounding in the basics and want to exploit some of the advanced features of the language.

    For the delegate for whom Python is their first programming language, we recommend taking the Python Programming 1 (PYP1) course first, then taking some time to practice the skills gained, before returning to take the Python Programming 2 course.

    Students should be able to build Python applications that exploit all fundamental elements of the language including variables and expressions, conditions and loops, functions, objects, and lists.

    This knowledge can be gained by attendance on the pre-requisite Python Programming 1 (PYP1) course.

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