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Python Training Course in Islamabad, Pakistan

Nizi Solutions offering an expert Python course in Islamabad. This hands on Python programming course tells the best way to quickly create and keep up with powerful Python programs. Python course in Islamabad incorporate inclusion of Python punctuation, implicit information types and control develops. The course adopts a viable strategy to making and putting together Python programs utilizing capacities, bundles, modules and classes as a component of Python’s article situated worldview. Python course in Islamabad will portray how to utilize Python to make contents to control information, computerize errands, perform mistake taking care of and store and recover information by utilizing social data sets. Understudies will actually want to make Python scripts that help with framework organization.

Students will learn:

  • Working with Python built-in objects
  • Reading and writing files
  • Creating variables and objects in Python
  • Collaborating with databases
  • To create structured data with lists, tuples, sets and dictionaries
  • Performing conversion operations on numbers
  • Using conditional constructs to control flow of execution
  • To write concise regular expressions
  • Organizing code with functions and classes
  • To create object-oriented Python programs
  • Using exceptions to gracefully handle errors
Language Fundamentals
  • Identifiers and Keywords
  • Python Execution Mode
  • Naming Objects and Binding
  • Python Data Model
  • Immutable and Mutable Objects
  • Values
  • Types
  • Creating and Using Variables
Using Python
  • Executing Python Programs from the Command Line
  • Python Command Line Options
  • Environment Variables that Influence Python
  • Creating Python GUI Applications
  • Standalone vs. Web-Enabled Interfaces
  • The Python Standard Library
Flow Control Constructs
  • Loops Iterators
  • Return Statements
  • Loop Modification
  • Returning Generator Iterators
  • Retrieving Iterators
Expressions
  • Arithmetic Operations
  • Boolean Operations
  • Conditional Expressions
  • Order of Operations and Operator Evaluation
  • Expression Lists
  • Assignment Operations
Object Oriented Programming Concepts
  • The Object Oriented Programming
  • Encapsulating Information
  • Classes vs. Instances of Objects
  • Built-in Class Attributes
  • Implementing Class Inheritance
  • Using Objects in Code
I/O Handling
  • To send output using print() Method
  • Reading Input with the input() Method
  • Open() Method
  • Files Access modes
  • Working with File Object Attributes
  • Closing File Objects with the close() Method
  • Read() and write() methods
Arrays, Collections and Dictionaries
  • Sequenced Data Structures
  • Arrays
  • Collections
  • Dictionaries
  • Creating and Accessing Lists
  • Manipulating Lists
  • Creating and Accessing Tuples
  • Understanding the Differences between Lists and Tuples
  • Using Dictionaries to Create Data Records
Using the String Object
  • String Methods
  • Using Function to Format Strings
  • Using Escape Sequences
  • Raw Strings
Using the String Object
  • Manipulating Strings with String Methods
  • Using the format () Function to Format Strings
  • Using Escape Sequences
  • Working with Raw Strings
Object Oriented Programming Concepts
  • Classes vs. Instances of Objects
  • Built-in Class Attributes
  • Implementing Class Inheritance
  • Using Objects in Cod
Data Management
  • Embedding SQLite Databases in Applications
  • Local Databases
  • Understanding DB
  • Understanding and Using Common SQL Statements
  • Connecting to a SQLite Database
  • Using Cursors to interact with Data from a Database
  • Implementing Error Handling with Database Connections
Unary and Binary Arithmetic Operations
  • Comparison and Boolean Operations
  • Conditional Expressions
  • Lambda Expressions
  • Order of Operations and Operator Evaluation
  • Expression Lists
  • Assignment Operations
Organizing Code
  • Defining Functions
  • Calling Functions
  • Creating Anonymous Functions
  • Creating Recursive Functions
  • Classes and class statements
  • Class Instances
  • Basis of a New Class
  • Modules with variables
  • Locating and Importing Modules
  • Using Packages to Group Modules Together
Arrays, Collections and Dictionaries
  • Manipulating Dictionaries Using Dictionary Methods
  • Creating Sets
  • Performing Set Operations
  • Union
  • Intersect
  • Difference
  • Differences between Sets and Dictionaries
  • Using Generators to Return Iterators

It is protected to say that you are looking for capable Python Training Course in Islamabad, Pakistan? Your chase completes here. Nizi Solutions offers a best Python Development course in Islamabad Pakistan.

Free Technical help for University Students ( only at: techhelp@nizisolutions.com )
Fee Special Discount for University StudentsAlso Free Python Training Course for Needy Students
4 Week Python development Complete Course:
3 Months Python development Course:
6 Months Python development Course:
We also offer Online trainings

Course Details

  • Classes: Online or Visiting tutors also available
  • Class Per Week: 3/4 Days
  • Weekend Course: Available
  • Saturday Sunday: 2 hrs/d
  • Admission Date:  Open

Evening Classes

  • 6:00 to   7:00
  • 7:00 to   8:00
  • 8:00 to   9:00
  • 9:00 to   10:00
  • 10:00 to 11:00
  • 11:00 to  12:00
  • 12:00 to  01:00

Morning Classes

  • 6:00 to   7:00
  • 7:00 to   8:00
  • 8:00 to   9:00
  • 9:00 to   10:00
  • 10:00 to 11:00
  • 11:00 to  12:00




Pick a Plan That Works for You

Plan I
Monthly Course Details
3k
3 Months Complete Course
  • Training Duration: 6 Month(s)
  • Class Per Week: 3
  • Weekend Course: Available on (Saturday-Sunday)

Evening Classes

  • 8:00 to 9:00
  • 9:00 to 10:00
  • 10:00 to 11:00
  • 11:00 to 12:00
  • 12:00 to 1:00
Plan II
Complete Course Details
9k
4 Week Complete Course
  • Training Duration: 4 Week Complete Course
  • Class Per Week: 3
  • Weekend Course: Available on (Saturday-Sunday)

Evening Classes

  • 8:00 to 9:00
  • 9:00 to 10:00
  • 10:00 to 11:00
  • 11:00 to 12:00
  • 12:00 to 1:00

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