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PCEP – Certified Entry-level Python Programmer Certification

IP Rulers Offer Best PCEP – Certified Entry-level Python Programmer Certification Training in Duba,UAE. The course is designed to provide an introduction to the Python programming language. The focus of the course is to provide students with an introduction to programming, I/O, and visualization using the Python programming language. The course will discuss topics necessary for the participant to be able to create and execute Python programs. The lectures, presentations and hands-on are designed to provide knowledge and experiences to students that serve as a foundation for continued learning of presented areas. After completing the course the student should be familiar with universal computer programming concepts like data types, containers, functions, conditions, loops, as well as Python programming language syntax, semantics, and the runtime environment.

This course is an introduction to programming using Python programming concepts. This course assumes no previous programming, math, or other experience. The course covers the topics included in basics of program logic and simple data structures. The focus on the course is simple data analysis. When students complete the course, they will be well prepared to take other more challenging introductory programming courses.

Course Details

To earn PCEP, you pass one exam: PCEP-30-01: PCEP – Certified Entry-Level Python Programmer. Candidates can take the PCEP certification exams online via OpenEDG Testing Service Program.

PCEP-30-01: PCEP – Certified Entry-Level Python Programmer.

Target Audience:

  • All students can take this course from high school to lifelong learners.
  • Anyone interested to learn Python can be a student of this course.
  • First step for Network engineers looking for enhancement of their skills and acquire knowledge in specific area of networking automation.
  • Students and professionals in the IT and Technologies sector who wish to enhance their knowledge and acquire an internationally recognized professional certification in Python.
  • People who want to make their career in data analytics can take this course.

Prerequisite:

  • This course assumes no previous programming, math, or any other experience.

Course outline

  • fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
  • literals: Boolean, integer, floating-point numbers, scientific notation, strings
  • comments
  • the print() function
  • the input() function
  • numeral systems (binary, octal, decimal, hexadecimal)
  • numeric operators: ** * / % // + –
  • string operators: * +
  • assignments and shortcut operators

  • operators: unary and binary, priorities and binding
  • bitwise operators: ~ & ^ | << >>
  • Boolean operators: not and or
  • Boolean expressions
  • relational operators ( == != > >= < <= ), building complex Boolean expressions
  • accuracy of floating-point numbers
  • basic input and output operations using the input(), print(), int(), float(), str(), len() functions
  • formatting print() output with end= and sep= arguments
  • type casting
  • basic calculations
  • simple strings: constructing, assigning, indexing, immutability

  • conditional statements: if, if-else, if-elif, if-elif-else
  • multiple conditional statements
  • the pass instruction
  • building loops: while, for, range(), in
  • iterating through sequences
  • expanding loops: while-else, for-else
  • nesting loops and conditional statements
  • controlling loop execution: break, continue

  • simple lists: constructing vectors, indexing and slicing, the len() function
  • lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying and cloning
  • lists in lists: matrices and cubes
  • tuples: indexing, slicing, building, immutability
  • tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
  • dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items() and values() methods
  • Strings in detail: escaping using the \ character, quotes and apostrophes inside strings, multiline strings, basic string functions.

  • defining and invoking your own functions and generators
  • return and yield keywords, returning results,
  • the None keyword,
  • recursion
  • parameters vs. arguments,
  • positional keyword and mixed argument passing,
  • default parameter values
  • converting generator objects into lists using the list() function
  • name scopes, name hiding (shadowing), the global keyword

Trainer's Profile

IP Rulers is managed by an expert team of trainers with over ten years’ experience in the industry and in hands-on training.
All the trainers have multiple certifications in their respective areas of interest.
Individual trainers’ profiles can be provided upon request by email, along with demos and LinkedIn profiles.
Online and classroom demos are also available upon request.

Training Schedule

IP Rulers has a training schedule that can suit anyone, whether it be in groups or one-on-one, classroom-based, online or onsite corporate training, on weekdays or weekends. Please consult training coordinators for further information.

PCEP- Entry-Level Python Programmer

Batch

Weekdays (Sun - Thu)

Weekend (Fri - Sat)

Mode

Classroom / Online

Classroom / Online

Hours

40 Hours

40 Hours

Duration

1 Month

2 Month

Date

Course

Training Type

Batch

Register

6 Jun 2021

PCEP –Python Programmer

Classroom / Online

Weekdays (Sun-Thu)

4 Jun 2021

PCEP –Python Programmer

Classroom / Online

Weekend (Fri-Sat)

Benefits

Write and Understand Python Programs.
Self-develop any project based on python language.
Can apply for job specifying python as a skill.
Get a kick-start in the field of Network Automation & Data-Science like AI, Machine learning and predictive analysis

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