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Python

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About The Python Training With ProICT Training

In 2014, Python was discovered to be typically the most popular language for teaching information technology courses to beginners at leading US colleges. Almost eight from ten Information Technology departments and 27 from the top 39 were discovered to be teaching Python in the opening level.

Because of the truth that it is among the easiest programming languages to understand, Python continues to be gaining recognition and can end up being the programming language preferred by both of these individuals and enterprises moving forward. Today, a lot of organizations

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Practice your skills on real world projects related to your course, implementing your newly acquired knowledge.

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Practical assignments are given out after every class. These assignments help you review the class and help you in content retention.

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Once you become a part of ProICT Training, You get unlimited access to the Learning Management System (LMS). You have life time access to lecturer recordings and presentations on the LMS.

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You qualify for certificates when you satisfactory complete and pass projects and a final exam prepared by the instructor beyond the designated criteria.

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Peer interaction is extremely important in learning. With ProICT training, you become a part of helpful and interactive community that understands the importance of sharing knowledge and is ready to help when needed.

Python is a contemporary course and is a requirement for all professionals who want to upgrade their credentials and boost their productivity to become an asset for the company. Taking the course will also encourage employee commitment, generate client confidence, reliability and eventually improve company image.

By taking Python you will become an expert in it, enhancing your ability to deliver high-quality output to your organization. In due course, projects will juggle your practical abilities. This will give you hands-on experience and ensure you maximize on your potential.

The objectives of Python are to enable you to hence your professional credibility and self satisfaction while making you a subject matter expert in the organization. There by making you an import resource wherever you are. This will ensure job retention, promotion and raises.

  • It is easy to take Python on ProICT Training because it has flexible programs that can easily be adjusted in your work schedule.
  • Python has been created due to market demand after extensive research and recommendations from industry experts.
  • Python will help you become familiar to new concepts required when working on multi-platforms,
  • It will also help you gain real-world experience.


  • This course is important for all working professionals as it adds on to their organizational skills
  • By acquiring the certification, you enhance your credibility and become an advantage to the organization.
  • You can use your newly acquired practical skills to implement necessary changes in the work flow.

  • If you have a Windows system you should have :
  • Microsoft Windows 7 or newer (32-bit and 64-bit)
  • Microsoft Server 2008 R2 or newer
  • Intel Pentium 4 or AMD Opteron processor or newer

  • If you have a MAC system you should have :
  • iMac/MacBook computers 2009 or newer
    • About the Tutorial
    • Audience
    • Prerequisites
    • Disclaimer & Copyright
    • Table of Contents

    1. OVERVIEW

    • History of Python
    • Python Features

    2. ENVIRONMENT3

    • Local Environment Setup
    • Getting Python
    • Installing Python
    • Setting up PATH
    • Setting path at Unix/Linux
    • Setting path at Windows
    • Python Environment Variables
    • Running Python

    3. BASIC SYNTAX

    • First Python Program
    • Python Identifiers
    • Python Keywords
    • Lines and Indentation
    • Multi-Line Statements
    • Quotation in Python
    • Comments in Python
      • Using Blank Lines
      • Waiting for the User
      • Multiple Statements on a Single Line
      • Multiple Statement Groups as Suites
      • Command Line Arguments
      • Accessing Command-Line Arguments
      • Parsing Command-Line Arguments
      • getopt.getopt method
      • Exception getopt.GetoptError:

      4. VARIABLE TYPES

      • Assigning Values to Variables
      • Multiple Assignment
      • Standard Data Types
      • Python Numbers
      • Python Strings
      • Python Lists
      • Python Tuples
      • Python Dictionary
      • Data Type Conversion

      5 BASIC OPERATORS

      • Types of Operators
      • Python Arithmetic Operators
      • Python Comparison Operators
      • Python Assignment Operators
      • Python Bitwise Operators
      • Python Logical Operators
        • Python Membership Operators
        • Python Identity Operators
        • Python Operators Precedence

        6. DECISION MAKING

        • If Statement
        • If…else Statement
        • The elif Statement
        • Single Statement Suites

        7. LOOPS

        • While Loop
        • The Infinite Loop
        • Using else Statement with Loops
        • Single Statement Suites
        • For Loop
        • Iterating by Sequence Index
        • Using else Statement with Loops
        • Nested Loops
        • Loop Control Statements
        • Break Statement
        • Continue Statement
        • Pass Statement

        8. NUMBERS

        • Number Type Conversion
        • Random Number Functions
        • Trigonometric Functions
        • Mathematical Constants

          9. STRINGS

          • Accessing Values in Strings
          • Updating Strings
          • Escape Characters
          • String Special Operators
          • String Formatting Operator
          • Triple Quotes
          • Unicode String
          • Built-in String Methods

          10. LISTS

          • Python Lists
          • Accessing Values in Lists
          • Updating Lists
          • Deleting List Elements
          • Basic List Operations
          • Indexing, Slicing, and Matrixes
          • Built-in List Functions and Methods

          11. TUPLES

          • Accessing Values in Tuples
          • Updating Tuples
          • Deleting Tuple Elements
          • Basic Tuples Operations
          • Indexing, Slicing, and Matrixes
          • No Enclosing Delimiters:
          • Built-in Tuple Functions
          • Accessing Values in Dictionary
          • Updating Dictionary
          • Delete Dictionary Elements
          • Properties of Dictionary Keys
          • Built-in Dictionary Functions and Methods

          13. DATE AND TIME

          • What is Tick?
          • What is TimeTuple?
          • Getting Current Time
          • Getting Formatted Time
          • Getting Calendar for a Month
          • The time Module
          • The calendar Module
          • Other Modules and Functions

          14. FUNCTIONS

          • Defining a Function
          • Calling a Function
          • Passing by Reference Versus Passing by Value
          • Function Arguments
          • Required Arguments
          • Keyword Arguments
          • Default Arguments
          • Variable Length Arguments
          • The Anonymous Functions
          • The return Statement
          • Scope of Variables
            • Global vs. Local variables:

            15. MODULES

            • The import Statement
            • The from
            • . import Statement
              • The from
              • . import * Statement:
                • Locating Modules:
                • The PYTHONPATH Variable
                • Namespaces and Scoping
                • The dir( ) Function
                • The globals() and locals() Functions
                • The reload() Function
                • Packages in Python

                16. FILES I/O

                • Printing to the Screen
                • Reading Keyboard Input
                • The raw_input Function
                • The input Function
                • Opening and Closing Files
                • The open Function
                • The file Object Attributes
                • The close() Method
                • Reading and Writing Files
                • The write() Method
                • The read() Method
                • File Positions

                Renaming and Deleting Files

              • The rename() Method
              • The remove() Method
              • Directories in Python
              • The mkdir() Method
              • The chdir() Method
              • The getcwd() Method
              • The rmdir() Method
              • File and Directory Related Methods

              17. EXCEPTIONS

              • What is Exception?
              • Handling an Exception
              • The except Clause with No Exceptions
              • The except Clause with Multiple Exceptions
              • The try-finally Clause
              • Argument of an Exception
              • Raising an Exception
              • User-Defined Exceptions

              18. CLASSES AND OBJECTS

              • Overview of OOP Terminology
              • Creating Classes
              • Creating Instance Objects
              • Accessing Attributes
              • Built-In Class Attributes
              • Destroying Objects (Garbage Collection)
              • Class Inheritance

    "You will never lose any lecture. You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch."

    ProICT Training is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.

    We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

    We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.