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Python Programming

Embark on a transformative journey into the world of programming with our Python Programming Course. Whether you’re a novice or seeking to enhance your skills, this comprehensive course equips you with the fundamentals and advanced techniques of Python. From basic syntax to object-oriented programming, dive deep into hands-on exercises, real-world projects, and expert guidance. Unlock the power to build dynamic websites, automate tasks, analyze data, and much more. Start coding with confidence and unleash your creativity with Python.

Original price was: ₹2,500.00.Current price is: ₹1,199.00.

About This Course

Python Programming course is designed for beginners and experienced coders alike, providing a deep dive into Python’s versatile and powerful features. It covers essential topics like variables, data types, loops, and functions, while advancing into more complex areas such as object-oriented programming, file handling, and exception management.

Learners will also explore Python’s rich libraries for web development, data analysis, machine learning, and automation. Through hands-on projects and real-world examples, participants gain practical experience and build a solid foundation in Python programming. By the end of the course, students will be proficient in writing efficient code, solving problems, and working on projects that can scale across industries, making them ready for roles in data science, software development, web development, and more.

Course Content

Module 1 - Introduction to Python

What is Python?

Setting up Python environment (installation of Python, IDEs)

Writing your first Python program

Understanding Python syntax and indentation

Variables and assignment

Data Types

Type conversion (casting)

Working with strings: string manipulation, slicing

Conditional statements: if, elif, else

Logical operators

Loops

Loop control statements: break, continue

Lists: creating lists, accessing elements, list methods

Tuples: creating tuples, accessing elements

Dictionaries: creating dictionaries, accessing elements, dictionary methods

Defining and calling functions

Parameters and arguments

Return statement

Scope of variables: global vs local

Opening and reading files

Writing to files

File modes: read, write, append

Introduction to Exceptions
Try, Except, Raise
Exception Handling Questions
Raise & Assert Statement

Classes and objects

Attributes and methods

Constructor (init method)

Inheritance and polymorphism

Creating and using modules

Importing modules

Creating and installing packages

Overview of popular Python libraries (e.g., NumPy, Pandas, Matplotlib)

Installing and importing libraries

Basic usage examples

Snake Game

Data Analysis with Python

QR Code Generator

WhatsApp Automation Using Python

Earn A Certificate

Earning a certificate from Vital Skills enhances your professional credentials and expertise, boosting your career opportunities. It also fosters personal growth and confidence in your abilities

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Practical Demosntration

Project Based Learning

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FAQs (Frequently Asked Questions)

Courses are designed from scratch by professionals. No prior knowledge is needed.

The course is usually delivered through a combination of video lectures and projects.

Career options for Python developers include roles such as web developer, data scientist, machine learning engineer, and automation engineer. Python’s versatility also opens opportunities in AI, DevOps, and software development across various industries.

₹1199/- ₹2500/-

Use Coupon Code VITAL100 on checkout and get instant ₹100/- OFF on your next order!

Total Duration

18 Hours

Total Lessons

50

Course Validity

1 year

Level

All Levels

Job Opportunities

Data Scientist
AI Research Scientist
ML Engineer
Business Intelligence Analyst
Quantitative Analyst
Bioinformatics Specialist
EdTech Developer
Deep Learning Engineer

Target Audience

  • Students
  • Business Analysts
  • Marketing Professionals
  • Financial Analysts
  • Healthcare
  • Professionals
  • HR Professionals
  • Researchers

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Python Programming

Demo Lecture

Course Curriculum

Module 1: Introduction to Python
What is Python?
Setting up Python environment (installation of Python, IDEs)
Writing your first Python program
Understanding Python syntax and indentation

Module 2: Variables and Data Types
Variables and assignment
Data Types
Type conversion (casting)
Working with strings: string manipulation, slicing

Module 3: Control Flow
Conditional statements: if, elif, else
Logical operators
Loops
Loop control statements: break, continue

Module 4: Data Structures
Lists: creating lists, accessing elements, list methods
Tuples: creating tuples, accessing elements
Dictionaries: creating dictionaries, accessing elements, dictionary methods

Module 5: Functions
Defining and calling functions
Parameters and arguments
Return statement
Scope of variables: global vs local

Module 6: File Handling
Opening and reading files
Writing to files
File modes: read, write, append

Module 7: Error Handling
Understanding exceptions
try-except blocks
Handling specific exceptions
finally block

Module 8: Introduction to Object-Oriented Programming (OOP)
Classes and objects
Attributes and methods
Constructor (in it method)
Inheritance and polymorphism

Module 9: Introduction to Modules and Packages
Creating and using modules
Importing modules
Creating and installing packages

Module 10: Introduction to Libraries
Overview of popular Python libraries (e.g., NumPy, Pandas, Matplotlib)
Installing and importing libraries
Basic usage examples

Module 11: Project

Cloud Computing With AWS

Demo Lecture

Course Curriculum

Module 1: Introduction to Cloud Computing

  • Overview of Cloud Computing
    • Definition, Characteristics, and Benefits
    • Types of Cloud Services: IaaS, PaaS, SaaS
    • Deployment Models: Public, Private, Hybrid, and Community Clouds
  • History and Evolution of Cloud Computing
    • From On-Premises to the Cloud
    • Major Milestones and Innovations
  • Why AWS for Cloud Computing?
    • AWS Overview and Market Leadership
    • Global Infrastructure: Regions and Availability Zones

Module 2: Core Concepts of Cloud Computing

  • Virtualization Basics
    • AWS EC2 Instances as an Example of Virtual Machines
    • Amazon ECS and EKS for Container Management
  • Networking in the Cloud
    • Amazon VPC: Subnets, Route Tables, and Gateways
    • Elastic Load Balancing (ELB) and AWS Direct Connect
  • Storage in the Cloud
    • AWS S3 for Object Storage: Buckets, Access Policies, and Lifecycle Management
    • Amazon EBS for Block Storage

Module 3: Cloud Infrastructure and Architecture

  • Scalability and Elasticity
    • Using AWS Auto Scaling for Elastic Workloads
    • Horizontal and Vertical Scaling with Amazon EC2
  • Cloud-Native Architecture
    • Serverless Computing with AWS Lambda
    • Orchestrating Containers with Amazon ECS and EKS
  • High Availability and Disaster Recovery
    • Multi-Region Deployments with AWS Route 53
    • Backup Strategies Using AWS Backup

Module 4: Security in the Cloud

  • Cloud Security Fundamentals
    • Shared Responsibility Model with AWS
    • Identity and Access Management (IAM) for User Roles and Permissions
  • Data Security
    • Encryption Using AWS Key Management Service (KMS)
    • Monitoring and Auditing with AWS CloudTrail
  • Compliance and Governance
    • Managing Compliance with AWS Config and Artifact

Module 5: Cloud Service Models

  • Infrastructure as a Service (IaaS)
    • Provisioning EC2 Instances
    • Managing Storage and Networking with Amazon VPC and Elastic IPs
  • Platform as a Service (PaaS)
    • Deploying Applications Using AWS Elastic Beanstalk
  • Software as a Service (SaaS)
    • Exploring AWS Marketplace for SaaS Solutions

Module 6: DevOps and Automation in the Cloud

  • Cloud and DevOps Integration
    • Building CI/CD Pipelines with AWS CodePipeline and CodeDeploy
  • Infrastructure as Code (IaC)
    • Automating Resource Provisioning Using AWS CloudFormation and Terraform
  • Monitoring and Logging
    • Application Monitoring with Amazon CloudWatch

Module 7: Cloud Economics and Optimization

  • Cost Management in AWS
    • Exploring AWS Pricing Models
    • Using AWS Budgets and Cost Explorer to Track and Optimize Costs
  • Resource Optimization
    • Reserved Instances and Savings Plans in EC2
    • Using Trusted Advisor for Recommendations
  • Sustainability in the Cloud
    • AWS’s Commitment to Renewable Energy and Carbon Footprint Reduction

Module 8: Emerging Trends in Cloud Computing

  • Edge Computing with AWS
    • AWS IoT Greengrass and AWS Wavelength
  • AI and Machine Learning in the Cloud
    • Using Amazon Sage Maker for Machine Learning Workflows
  • Hybrid and Multi-Cloud Strategies
    • Managing Hybrid Environments with AWS Outposts

Module 9: Projects

 

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