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Python Programming for Beginners

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Key Features

  • 5 days Instructor-Led Live Online Classroom
  • Webex Virtual Class for interactive near classroom experience
  • Access to Remote Lab PC for Hands-On activities
  • Unlimited Practice exams
  • Integrated Courseware in the Learning Management System
  • Step by Step guide for challenging hands-on lab activities
  • Flexible Schedules – Both Weekdays and Weekends Classes 
  • Get Trained by Python Programming Certified Expert Trainer with Over 15 Years of Industry Experience
  • No. 1 Training Center for Python Programming Courses
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  • Best Price Guaranteed for Python Programming Courses

Key Features

  • 5 days Instructor-Led Face to Face Classroom training
  • We are a TESDA Registered Training Center
  • Offering Flexible Schedules – Both Weekdays and Weekends Classes
  • Get Trained by Python Programming Certified Expert Instructor with Over 15 Years of Industry Experience
  • No. 1 Training Center for Python Programming Courses
  • We Guarantee Best Price for CompTIA A+Python Programming Courses

Key Features

  • Gain the technical skills needed in the workplace. 1 on 1 training is the best way to learn
  • Quickest way to master any of our course offerings.
  • Experience superb hands-on laboratory activities and unobstructed attention from your trainer.
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This course will give you the best foundation in python programming. It teaches you the ability to accomplish coding tasks related to the essentials of Python programming. It will enhance your knowledge of the universal concepts of computer programming such as the syntax and semantics of the Python language as well as the skills in resolving typical implementation challenges with the help of the Python Standard Library. It covers universal computer programming concepts like data types, containers, functions, conditions, loops, as well as Python programming language syntax, semantics, and the runtime environment.


PCEP Certified Entry-Level Python Programmer Exam Price: USD 59


Familiarity with any programming language can help but not necessarily required. Needs basic computing knowledge.


Upon completion of the course, trainees will be qualified to be a junior python programmer.


PCEP Syllabus

Chapter 1: Basic Concepts

  • Python Fundamental concepts
  • Interpreter
  • Compiler
  • Language elements, lexis, syntax and semantics
  • Python keywords, Instructions and indenting
  • Literals
  • Boolean, integer, floating-point numbers, scientific notation and strings
  • comments
  • the print() function
  • the input() function
  • numeral systems (binary, octal, decimal, hexadecimal)
  • numeric operators: ** * / % // + –
  • string operators: * +
  • assignments and shortcut operators

Chapter 2: Data Types, Evaluations, and Basic I/O Operations

  • 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

Chapter 3: Flow Control – loops and conditional blocks

  • Conditional statements: ifif-elseif-elifif-elif-else
  • Multiple conditional statements
  • The pass instruction
  • Building loops: whileforrange()in
  • Iterating through sequences
  • Expanding loops: while-elsefor-else
  • Nesting loops and conditional statements
  • Controlling loop execution: breakcontinue

Chapter 4: Data Collections – Lists, Tuples, and Dictionaries

  • Simple lists
  • Constructing vectors, indexing and slicing, the len() function
  • Indexing, slicing, basic methods (append()insert()index())
  • 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 and 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
  • Escaping using the \ character, quotes and apostrophes inside strings, multiline strings, basic string functions.

Chapter 5: Functions

  • Ddefining and invoking 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


(₱16500) ₱ 14500
(USD330]) USD290


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