IT Specialist Python

Master the most readable and versatile, open-source coding language - Python. Gain the confidence to write impeccable codes.

(ITSPC-PYTHON.AJ1) / ISBN : 978-1-64459-331-8
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Practice and prepare for the prestigious IT Specialist Python Certification exam with our comprehensive prep course. Powered with interactive lessons, quizzes, flashcards, and full-length practice tests, our immersive courseware is exactly what you need to navigate through your preparation journey. To make it perfect, we have also added hands-on Labs where you can practice your theories in a hassle-free manner.

The course curriculum covers everything from fundamentals to OOP concepts and advanced Python topics. Let’s get you ready for the IT Specialist Python Certification exam!  

Habilidades que obtendrás

  • Deep understanding of the core concepts - variables, data types, operators, control flow, and functions
  • Expertise in working with data structures - lists, tuples, dictionaries, and sets
  • Master of Object-Oriented Programming - classes, objects, and inheritance hierarchies
  • Ability to perform File I/O and error handing
  • Use modules and packages to organize codes
  • Understanding of functional programming and its application in Python
  • Use frameworks like Django and Flask to build web apps
  • Experiment with different coding techniques, and find creative solutions

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1

Introduction

  • About the Course
  • Learning Objectives
  • Audience
  • Approach
  • Minimum Hardware Requirements
  • Software Requirements
  • Conventions
  • Installation
2

Introducing Python

  • Introduction
  • Working with the Python Interactive Shell
  • Writing and Running Simple Scripts
  • Variables
  • User Input, Comments, and Indentations
  • Summary
3

Data Types

  • Introduction
  • Numerical Data
  • Strings
  • Lists
  • Booleans
  • Summary
4

Control Statements

  • Introduction
  • Control Statements
  • The if Statement
  • The while Statement
  • while Versus if
  • Loops
  • The for Loop
  • The range Function
  • Nesting Loops
  • Breaking Out of Loops
  • Summary
5

Functions

  • Introduction
  • Built-In Functions
  • User-Defined Functions
  • Function Arguments
  • Anonymous Functions
  • Summary
6

Lists and Tuples

  • Introduction
  • List Syntax
  • List Methods
  • List Comprehensions
  • Tuple Syntax
  • Accessing Tuple Elements
  • Accessing Tuple Elements
  • Tuple Methods
  • Summary
7

Dictionaries and Sets

  • Introduction
  • Working with Dictionaries
  • Additional Dictionary Attributes
  • Ordered Dictionaries
  • The Basics of Sets
  • Set Operations
  • Frozen Sets
  • Summary
8

Object-Oriented Programming

  • Introduction
  • A First Look at OOP
  • OOP in Python
  • Methods in a Class
  • Class Versus Instance Attributes
  • Class Versus Instance Methods
  • Class Inheritance
  • Multiple Inheritance
  • Summary
9

Modules, Packages, and File Operations

  • Introduction
  • Defining Modules
  • Imports and Import Statements
  • Modules and Packages
  • File Operations
  • The file Object
  • Reading and Writing to Files
  • Handling Structured Data
  • Summary
10

Error Handling

  • Introduction
  • Built-In Exceptions
  • Handling Errors and Exceptions
  • Custom Exceptions
  • Summary
A

Appendix: PCAP Exam Objective

B

Appendix: PCEP-30-01 Exam Objective

1

Introducing Python

  • Utilizando el método de impresión
  • Mostrar una declaración varias veces
  • Utilizando la asignación de variables
  • Uso de variables y sentencias de asignación
2

Data Types

  • Uso de operadores aritméticos
  • Realizar tareas de segmentación de cadenas
  • Trabajar con cuerdas
  • Manipulación de cadenas mediante el método strip
  • Trabajar con listas
  • Uso de operadores booleanos
  • Mostrar la tabla de multiplicar
3

Control Statements

  • Trabajar con la instrucción if
  • Trabajando con la declaración while
  • Utilizando el bucle for y la función range
  • Uso de bucles anidados
4

Functions

  • Trabajar con argumentos de funciones
  • Uso de funciones Lambda
5

Lists and Tuples

  • Uso de métodos de lista
  • Utilizando métodos de tuplas
6

Dictionaries and Sets

  • Organización y presentación de datos mediante diccionarios
  • Combinando diccionarios
  • Creación de intersecciones de elementos en una colección
7

Object-Oriented Programming

  • Definición de métodos en una clase
  • Creación de atributos de clase
  • Creación de métodos de clase y uso de ocultación de información
  • Métodos de anulación
  • Implementación de la herencia múltiple
8

Modules, Packages, and File Operations

  • Uso de recursos en un módulo
9

Error Handling

  • Identificación de escenarios de error
  • Manejo de errores
  • Creación de la clase de excepción personalizada

¿Alguna pregunta? Consulta las preguntas frecuentes

Here are some of the most commonly asked questions about this IT Specialist Python course and the related certification.

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It is a certification exam conducted by Certiport that validates your skills and knowledge for executing well-structures and clear python programming codes.

Anyone wanting to acquire Python programming skills should take this course. It also helps you prepare for the prestigious IT Specialist Python exam conducted by Certiport.

The IT Specialist Python certification exam has 33 - 43 questions that need to be answered within 50 minutes.

No, it is the perfect Python programming course for beginners.

Absolutely yes. It is a universally recognized certification that is valued by giant tech companies.

Earning this prestigious certification will add value to your resume, making you an attractive job candidate. You’ll be able to seize high-paying job opportunities with a remarkable career trajectory.

Learn Job-Ready Python Skills

  Build a rock-solid career in data science and web development.

$279.99

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