COURSES / PYTHON
Topics - Introduction to Python, Basic Operations and Control Flow, Loops, Functions, Data Structures - Lists, Data Structures - Tuples and Sets, Data Structures - Dictionaries, File Handling, Error and Exception Handling, Modules and Packages Comprehensions, Object-Oriented Programming (OOP) Basics, Advanced OOP Concepts, Working with Libraries, Final Project
Back to Courses| Day | Topics | Activities |
| Day 1 | Introduction to Python | Install Python and set up a development environment (IDEs like PyCharm, VSCode, or Jupyter Notebook). Write simple programs to understand variables, data types (integers, floats, strings, lists, tuples, dictionaries). |
| Day 2 | Basic Operations and Control Flow | Write programs performing basic arithmetic operations. Create programs using if, elif, and else statements. |
| Day 3 | Loops | Write programs using for and while loops to iterate over sequences. Practice using loops to solve problems (e.g., summing numbers, finding the factorial of a number). |
| Day 4 | Functions | Write functions for various tasks (e.g., calculating the area of a circle, converting temperatures). Practice calling functions with different arguments. |
| Day 5 | Data Structures - Lists | Write programs to create, access, and modify lists. Use list methods to perform operations on lists. |
| Day 6 | Data Structures - Tuples and Sets | Write programs using tuples and sets. Perform operations like union, intersection, and difference on sets. |
| Day 7 | Data Structures - Dictionaries | Write programs to create and manipulate dictionaries. Use dictionary methods to iterate over keys and values. |
| Day 8 | File Handling | Write programs to read and write text files. Handle exceptions related to file operations. |
| Day 9 | Error and Exception Handling | Write programs that include error handling. Handle common exceptions (e.g., file not found, division by zero). |
| Day 10 | Modules and Packages | Use standard libraries like math, datetime, random. Write programs that utilize these libraries. |
| Day 11 | Comprehensions | Write programs using list comprehensions to create and manipulate lists. Practice dictionary comprehensions for various tasks. |
| Day 12 | Object-Oriented Programming (OOP) Basics | Define simple classes and create objects. Write methods and access object attributes. |
| Day 13 | Advanced OOP Concepts | Create a class hierarchy using inheritance. Override methods in derived classes. |
| Day 14 | Working with Libraries | Install and use Numpy for array manipulations. Use Pandas for basic data manipulation and analysis. |
| Day 15 | Final Project | Choose a project that integrates the concepts learned. Possible projects: Simple text-based game, Data analysis project using a dataset, Basic web scraper. Present findings with a summary report or documentation. |
Introduction Lesson
View DetailsBasics of HTML
View DetailsGetting Know about HTML
View DetailsTags and Attributes
View DetailsBasics of CSS
View DetailsGetting Familiar with CSS
View DetailsIntroduction to Bootstrap
View DetailsResponsive Design
View DetailsCanvas in HTML 5
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Electrical Engineers who want to Train Themselves by Highly Experienced Industry Experts are welcome to this Program.
Fresher and Experienced ECE Engineers who want to Sit for Campus & Off-Campus Interviews are Welcome to this Program.
Industry Oriented Professional Certification Training for Diploma / B.Tech / M.Tech / B.Sc / M.Sc Students in Food Technology & Home Science
# Business Communication # Confidence Building # Corporate Etiquette and Grooming # Interview Skills # Resume/CV Building # Interpersonal skills # Group Discussion
Topics - Introduction to Python, Basic Operations and Control Flow, Loops, Functions, Data Structures - Lists, Data Structures - Tuples and Sets, Data Structures - Dictionaries, File Handling, Error and Exception Handling, Modules and Packages Comprehensions, Object-Oriented Programming (OOP) Basics, Advanced OOP Concepts, Working with Libraries, Final Project
Topics - Introduction to Python, Control Flow and Functions, Data Structures, File Handling, Modules and Packages, Error Handling, Introduction to Numpy, Data Analysis with Pandas, Data Visualization with Matplotlib, Data Visualization with Seaborn, Exploratory Data Analysis (EDA), Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Final Project
Topics - Introduction to Generative AI, Fundamentals of Machine Learning, Deep Learning Basics, Introduction to Neural Networks, Generative Models: Overview, Autoencoders and Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Transformers and Language Models, Fine-tuning Pre-trained Models, Project and Application Development
Topics - Introduction to Oracle Cloud ERP Technical Development, Oracle Cloud ERP Architecture and Components, Environment Setup and Configuration, Oracle Cloud ERP Data Model, Developing with Oracle Application Express (APEX), Customizing User Interfaces, Oracle Cloud ERP Web Services and APIs, Oracle Cloud ERP Extensions and Customizations, Integrating with Other Systems, Oracle Cloud ERP Data Migration, Reporting with Oracle BI Publisher, Security and Compliance, Performance Tuning and Optimization, Troubleshooting and Debugging, Final Project and Presentation
Topics - Introduction to Cloud Computing and AWS, Setting Up AWS Account, AWS Global Infrastructure, Introduction to Amazon EC2, Amazon EC2 Deep Dive, Elastic Load Balancing (ELB) and Auto Scaling, Amazon S3 and Storage Options, Amazon RDS and Database Services, Introduction to AWS IAM, AWS IAM Best Practices, Amazon VPC and Networking, AWS Lambda and Serverless Computing, AWS CloudFormation and Infrastructure as Code, Monitoring and Logging with CloudWatch, AWS Security and Compliance, AWS Cost Management and Billing, Introduction to Containers on AWS, Amazon ECS and EKS, Introduction to Machine Learning on AWS, Amazon SageMaker, AWS IoT Core and IoT Services, AWS Developer Tools, CI/CD with AWS CodePipeline and CodeBuild, Deploying Applications with AWS Elastic Beanstalk, Data Warehousing with Amazon Redshift, Big Data Processing with AWS, Migrating to AWS, Hybrid Cloud Architectures
Topics : Effective Communication - Self Leadership - Building high performance teams - Time Management - Inclusive Leadership - Leadership Styles - Interpersonal skills - Strategic Thinking - Change Management - Digital Leadership
Mechanical Engineers who want to Train Themselves by Highly Experienced Industry Experts are welcome to this Program.
Emilly Blunt
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