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Python

HN Techno offers deep, logical training with a vision that all programming languages share core concepts. Our Python module focuses on data management, emphasizing data structures, visualization, minimizing time and space complexity, and ensuring data security. Trainees leave equipped to master any concept independently.
  • Hands on Training
  • Expert Trainer
  • Industry Based Training
  • Affordable Fees
  • Flexible Timings
  • Videos Material
  • Live Experience
  • Certification
  • Placement Opportunities
101%
Knowledge rate
95%
Internship rate
95%
placement rate
100%
satisfaction rate
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HN Techno focuses on the development of the student's logic and mind because the main Mantra of HN Techno is "FRAMEWORK IS TEMPORARY BUT LOGIC IS PERMANENT".

Successful Students

Successful students excel through HN Techno practical training

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Shraddha
Apple Inc.

Software Engineer

Global locations highlighting diversity, student placements, cultural significance, countries, regions, and unique global presence.

HN Techno
Jay Parikh
Infosys Global Australia

Technology Associate

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HN Techno

Communities Heritage Pvt Ltd

Ujjaval Parmar( Director of CHPL )

Python Overview

Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.

  • Python can be used on a server to create web applications.
  • Python can be used alongside software to create workflows
  • Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
  • Python has a simple syntax similar to the English language.
  • In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files.


HN Techno provides in-depth, logical training with a unique vision: to treat all programming languages as fundamentally the same. After completing the training, trainees are equipped with the ability to deeply understand and learn any concept independently. In our Python module, we don't limit the scope to just Python. Instead, we focus on core programming concepts applicable to all languages, with a primary emphasis on data management. We concentrate heavily on data structures and data visualization, ensuring our students can handle complex data efficiently.

Our approach also emphasizes minimizing time and space complexity across every topic. Additionally, we prioritize data security, ensuring that our trainees are equipped with the skills to implement safe and efficient solutions.

Types Of Courses

12+ Years Expert Trainer
Industrial Knowledge
Internship Program
Interview Preparation
Certificate
Fix Time

Module With a Short Time Duration

Live Practicals

Live Industrial Practicals with Every Topic

Depth Understanding

Gain deep insights to grasp any topic effectively.

Weekly Test

A brief assessment conducted each week to review your understanding and track progress.

Industrial Project

Upon course completion, we offer a real-world project for hands-on experience.

Vision For Every Language

After completing the training, you'll gain the ability to understand any programming language easily, developing a mindset similar to that of a developer.

Mobile | PC Access
Full fees refundable within 1 day
Notes & Files
Assignments
Certificate
Depth Understanding

comprehensive industry-standard curriculum designed to take learners from Scratch to an advanced level, with a focus on practical, hands-on experience.

Different ways

Tackle a problem with multiple practical approaches while optimizing time and space complexity

1:1 live doubt support

Offer 1:1 live support & doubt class for quick doubt resolution.

Weekly Test

A brief assessment conducted each week to review your understanding and track progress.

Industrial Project

Upon course completion, we offer a real-world project for hands-on experience.

12+ Years Expert Trainer
Industrial Knowledge
Interview Preparation
Internship Program
Certificate
Industrial Project

Upon course completion, we offer a real-world project for hands-on experience.

Long Time

Module With a Long Time Duration

Depth Understanding

Gain deep insights to grasp any topic effectively.

Weekly Test

A brief assessment conducted each week to review your understanding and track progress.

Live Practicals

Live Industrial Practicals with Every Topic

Vision For Every Language

After completing the training, you'll gain the ability to understand any programming language easily, developing a mindset similar to that of a developer.

Video Material

After covering the concepts, video materials are available for further clarification.

Content

Python – Overview

  • History of Python
  • Python-Environment Setup
  • Local Environment Setup
  • difference btw C, C++ & Python
  • difference btw procedure & object oriented
  • difference btw client-side & server-side scripting
  • Create Python file with “hello” program

Variables & Data Types

  • variables & data types in deeply
  • static, dynamic variables
  • input with practical
  • primitive & non-primitive datatype
  • memory management
  • String handling
  • Number Methods
  • Type casting
  • regular expression
  • Date datatype with practical
  • Operators
  • Python Math

Dates Datatype

  • Date Objects
  • Date Formats
  • Get Date Methods
  • Set Date Methods

Array vs List vs Set vs Tuple

  • Array in deep introduction
  • Types of array
  • Tuple in deep knowledge
  • Tuple with practical example
  • difference btw array & list
  • need of collections (list, set, dictionary)
  • Types of collections (list, set, dictionary)
  • list using input with all datatypes
  • N-dimension list
  • real-time data visualization
  • difference btw List & Set with practical
  • Very big practical in above all topics

Collections, Data Structure

  • Types of collections & data structure
  • difference btw datatype & data structure
  • real-time data visualization
  • need of collections
  • need of data structure
  • difference btw List & Set with practical
  • Using Lists as Stacks
  • Using Lists as Queues
  • ArrayList, LinkedList, Vector
  • HashSet, LinkedHashSet, TreeSet
  • Collection’s real-time programs
  • Nth-dimension Collections
  • Types of Maps
  • HashMap, LinkedHashMap, TreeMap & Hashtable
  • Maps in real-time program
  • Real-time system with collections
  • Very big practical in above all topics

List, Sets, Dictionaries

  • List methods with practical
  • Sets methods with practical
  • Dictionaries methods with practical
  • Sorting Lists
  • Lists Iteration
  • Lists Const
  • N-dimension List with practical
  • N-dimension Dictionaries with practical
  • Very big practical in above all topics

Loops (entry & exit control)

  • Need of Loops
  • for loop with multiple practical
  • N – dimension for loop
  • Random star patterns in for loops
  • for with in & of (foreach)
  • while loop with multiple practical
  • N – dimension while loop
  • break and continue Statements
  • else Clauses on Loops
  • Random star patterns in while loop
  • Logic buildup with loops

Conditional Statement

  • Need of Conditional Statement
  • simple If..else with multiple practical
  • ladder If..else with multiple practical
  • nested if..else with multiple practical
  • Very big practical in above all topics

Logic Build-Up

  • N-dimension all concepts
  • List with loops practical
  • List, loops, conditional statement practical
  • keywords
  • Real-time data visualization
  • Real-time system visualization
  • Very big practical in above all topics

Dictionaries vs List

  • Need of Dictionaries
  • difference btw list and Dictionaries
  • Dictionaries with multiple practical
  • N-dimension Dictionaries multiple practical
  • list with Dictionaries multiple practical
  • Dictionaries with list multiple practical
  • Dictionaries iteration
  • Real-time data visualization
  • Real-time system visualization
  • Very big practical in above all topics

Types of Function

  • Need Of Function
  • All types function’s multiple practical
  • local & global variable in function
  • data travels in function
  • Run time type casting
  • default parameter function practical
  • Real-time use of function in application
  • Recursion
  • Difference btw loop & recursion
  • Lambda Expressions practical
  • Real-time system visualization
  • Very big practical in above all topics

Static Keyword

  • Need of static keyword
  • static variables
  • static function
  • static block

Modules

  • Executing modules as scripts
  • The Module Search Path
  • Compiled” Python files
  • Standard Modules
  • The dir() Function
  • Packages
  • Importing * From a Package
  • Properties Use One file to Another File
  • Intra-package References
  • Packages in Multiple Directories

Errors, Exception Handling

  • exception handling
  • difference btw Error & Exception
  • Raising Exceptions
  • try, catch, throw, throws
  • Nested try-catch
  • final keyword, finally block & finalize method
  • Very big practical in above all topics

File Handling

  • File Open with practical
  • Read Lines with practical
  • Close Files with practical
  • Create a New File practical
  • Write to an Existing File practical
  • Delete a File with practical
  • Delete Folder with practical

Class, Object

  • Need of Class
  • Class with practical
  • Class with variables practical
  • Class with list practical
  • Class with function practical
  • One class properties to another class
  • Need of object
  • Constructor with practical
  • Access properties via object

Run Time Initialization

  • Need of Constructor
  • Store data one class to another
  • Run time initialization via variable
  • Run time initialization via function
  • This keyword
  • Run time initialization via constructor
  • Real-time system creation with class
  • Very big practical in above all topics

OOPs Concepts

  • Need of OOPs concepts
  • What is security?
  • Inheritance
  • Polymorphism
  • Abstraction
  • Encapsulation

Interface

  • Need of Inheritance
  • Single level Inheritance practical
  • Multi level Inheritance practical
  • Multiple Inheritance practical
  • Hierarchical Inheritance practical
  • Hybrid Inheritance practical
  • what is extends keyword?
  • Difference btw this & super
  • Super keyword with practical
  • Super constructor with practical
  • properties overriding
  • use inheritance in real system
  • Very big practical in above all topics

Polymorphism

  • Need of Polymorphism
  • Compile type or function overloading
  • why not support Compile type?
  • Run type or function overriding
  • information hiding with practical
  • anonymous object with practical
  • use Polymorphism in real system
  • Very big practical in above all topics

Overloading

  • function overloading with practical
  • constructor overloading with practical

Abstraction

  • Need of Abstraction
  • abstract class with practical
  • abstract function with practical
  • abstraction rules
  • information hiding practical
  • anonymous object practical
  • constructor in abstract class
  • use Abstraction in real system
  • Very big practical in above all topics

Access Modifiers

  • Need of Access Modifiers
  • difference btw public, private, protected
  • why default is public?
  • Apply access modifiers on properties
  • how to data hiding
  • apply security on data
  • use Access Modifiers in real system
  • Very big practical in above all topics

Encapsulation

  • Need of Encapsulation
  • private access modifier
  • data hiding with practical
  • setter and getter
  • use Encapsulation in real system
  • Very big practical in above all topics

Interface

  • Need of Interface
  • abstract class vs interface
  • multiple inheritance
  • implements keywords
  • extends vs implements
  • information hiding
  • use Interface in real system
  • Very big practical in above all topics

Frequently Asked Questions

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