Full Stack - Python

Python Training in Chandigarh / Mohali Online First time

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. A Python full-stack developer is someone who has expertise in both front-end and back-end development, allowing them to handle all aspects of a web application.

 

Enroll in India’s leading Core Python Programming Course, designed for aspiring developers and IT professionals. With an industry-relevant curriculum, learn from expert faculty with hands-on experience. The course covers Python fundamentals, data handling, and object-oriented programming. Experience practical, project-based learning and hands-on coding sessions. Join a community of peers for a comprehensive, interactive learning experience that paves your way to a successful career in Python programming.

Course Curriculum

Module 1: Introduction to Python

Lesson 1: Introduction

    • Overview of Python
    • History and Features of Python
    • Setting up the Environment
    • Writing and Executing the First Python Programme

Lesson 2: Basics of Python

    • Python Syntax and Semantics
    • Variables and Data Types
    • Input and Output
    • Basic Operators (Arithmetic, Relational, Logical, Assignment, Bitwise)
Module 2: Control Structures

Lesson 1: Conditional Statements

    • if, else, elif
    • Nested if-else

Lesson 2: Loops

    • for loop
    • while loop
    • Nested loops
    • break, continue, and pass
Module 3: Functions and Modules

Lesson 1: Functions

    • Defining and Calling Functions
    • Function Arguments (Default, Keyword, Arbitrary)
    • Return Statement
    • Lambda Functions

Lesson 2: Modules

    • Importing Modules
    • Standard Library Modules
    • Creating and Using Custom Modules
Module 4: Data Structures

Lesson 1: Lists

    • Creating and Accessing Lists
    • List Methods and Operations
    • List Comprehensions

Lesson 2: Tuples

    • Creating and Accessing Tuples
    • Tuple Methods and Operations

Lesson 3: Dictionaries

    • Creating and Accessing Dictionaries
    • Dictionary Methods and Operations

Lesson 4: Sets

    • Creating and Accessing Sets
    • Set Methods and Operations
Module 5: File Handling

Lesson 1: Working with Files

    • Opening, Reading, and Writing Files
    • File Methods
    • Working with File Paths
    • Exception Handling in File Operations
Module 6: Object-Oriented Programming (OOP)

Lesson 1: Classes and Objects

    • Defining Classes
    • Creating Objects
    • Attributes and Methods

Lesson 2: Inheritance

    • Types of Inheritance
    • Method Overriding
    • The super() Function

Lesson 3: Polymorphism

    • Method Overloading
    • Operator Overloading

Lesson 4: Encapsulation and Abstraction

    • Access Specifiers
    • Getter and Setter Methods
Module 7: Error and Exception Handling

Lesson 1: Handling Exceptions

    • try, except, else, finally
    • Built-in Exceptions
    • Raising Exceptions
    • Custom Exceptions
Module 8: Advanced Topics

Lesson 1: Iterators and Generators

    • Understanding Iterators
    • Creating and Using Generators

Lesson 2: Decorators

    • Function Decorators
    • Class Decorators

Lesson 3: Context Managers

    • Using a Statement
    • Creating Custom Context Managers
Module 9: Libraries and Frameworks

Lesson 1: NumPy

    • Arrays and Matrices
    • Array Operations

Lesson 2: Pandas

    • DataFrames and Series
    • Data Manipulation

Lesson 3: Matplotlib

    • Plotting Graphs
    • Customising Plots

Lesson 4: Web Development with Flask/Django

    • Introduction to Flask/Django
    • Creating Simple Web Applications
Module 10: Data Science and Machine Learning (Optional)

Lesson 1: Introduction to Data Science

    • Overview of Data Science
    • Python Libraries for Data Science

Lesson 2: Machine Learning Basics

    • Supervised and Unsupervised Learning
    • Implementing Simple Algorithms with sci-kit-learn
Module 11: Project and Assessment

Lesson 1: Capstone Project

    • Project Planning and Implementation

Lesson 2: Course Assessment

    • Final Assessment and Certification

With guidance from a revered Python training institute like Scalarup skill, you can look at career opportunities in the following fields :

  • Python Developer
  • Web Developer
  • Software Developer
  • Business Analyst
  • Software Programmer
  • Full Stack Developer
  • Placement Assistance
  • Live Project Assessment
  • Lifetime Career Support
  • Lifetime Training Membership (Candidate can join same course again for purpose of revision and update at free of cost at our any center in India or you can solve your query by online help)
  • Python Based Exam Scenario Preparation Included IN Training
  • Python Certification Preparation

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