Python Required Topics

Python Topics
1. Generative AI

  • Core Concepts
    • Introduction to Generative AI
    • Types of Generative Models: GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Autoregressive Models (e.g., GPT-3/4, Transformer-based models)
    • Difference between discriminative and generative models
    • Applications of Generative AI in text, images, audio, and video

2. Python

  • Basic Concepts
    • Data types (strings, lists, tuples, dictionaries, sets)
    • Variables and constants
    • Control flow (if, else, for, while, break, continue)
    • Functions (parameters, return, recursion, arguments (*args, **kwargs))
    • Exception handling (try, except, finally)
    • Python Modules: standard Modules (os, sys, math, datetime) and custom Modules.
    • Error Handling: try, except, finally, custom exceptions
  • Advanced Concepts
    • List comprehensions and generators
    • Iterators, generators and decorators
    • Lambda functions and higher-order functions
    • Context managers (with statement)
    • File handling (open, read, write)
    • Directory Management: os and shutil for file system operations.
    • Multithreading vs. Multiprocessing: concepts, examples, and best practices.
  • Object-Oriented Programming
    • Classes, objects, inheritance, polymorphism, encapsulation, and abstraction
  • Libraries and Frameworks
    • NumPy, Pandas, Requests, Data File Handling: CSV, Json, excel, and text file Operations.
    • Asyncio, threading
    • Regular expressions (re module)
  • Data Structures & Algorithms
    • Sorting algorithms, searching algorithms
    • Time and space complexity (Big-O notation)
    • Stacks, queues, linked lists, trees, graphs

3. FastAPI

  • Basics
    • Introduction and architecture of FastAPI
    • Request handling (GET, POST, PUT, DELETE)
    • Path, query, and request body parameters
    • Dependency injection
  • Advanced Features
    • Asynchronous support (async/await)
    • Middleware and exception handling
    • Background tasks
    • OAuth2, JWT authentication
  • Testing & Documentation
    • Writing unit tests (pytest)
    • FastAPI automatic documentation (Swagger and ReDoc)

4. Unit Testing (Python)

  • Introduction to Testing Frameworks
    • pytest, unittest
  • Mocking and patching
  • Writing Tests
    • Test case design, boundary testing, exception testing
  • Test suites, test runners
  • Code Coverage
    • Coverage tools (pytest-cov, coverage.py)
  • Integration Testing
    • Database testing, external API testing

5. MongoDB

  • Introduction
    • NoSQL database vs SQL databases
    • Database design (collections, documents, indexes)
  • CRUD Operations
    • Insert, update, delete, and find operations
  • Aggregation Framework
    • Aggregation pipeline, stages, and operators
  • Indexes & Performance
    • Index creation, compound indexes, and performance optimization
  • Replication & Sharding
    • Replica sets, read/write concerns
    • Sharding, partitioning data
  • Backup & Security
    • Backup strategies, authentication and authorization

6. PostgreSQL

  • Basics
    • Data types, schema design, tables, and relationships
  • SQL Queries
    • SELECT, INSERT, UPDATE, DELETE
    • Joins, subqueries, and complex queries
  • Indexes & Optimization
    • Index types, query optimization, explain plan
  • Transactions & ACID Properties
    • Atomicity, Consistency, Isolation, Durability
  • Backup & Replication
    • Point-in-time recovery, logical replication
  • Advanced Features
    • Window functions, CTEs, triggers, stored procedures

7. Azure

  • Core Concepts
    • Cloud architecture, resource groups, subscriptions
    • Azure Compute: VMs, App Services, Azure Functions
    • Azure Storage: Blob Storage, Table Storage, Azure Files, Queues
  • Azure Networking
    • Virtual Networks, Subnets, Network Security Groups
  • Azure Identity & Access Management
    • Azure AD, role-based access control (RBAC), managed identities
  • Azure DevOps
    • Pipelines (CI/CD), YAML-based pipelines
    • Repos, artifacts, boards
    • Managing secrets and environment variables

8. Azure DevOps & Argo CD

  • Azure DevOps
    • Creating and managing CI/CD pipelines
    • Build pipelines, release pipelines
    • Git repos, branching strategies (GitFlow, trunk-based development)
  • Argo CD
    • Continuous delivery with Argo CD
    • Declarative configuration, GitOps workflows
    • Deploying applications in Kubernetes with Argo CD

9. Kafka

  • Core Concepts
    • Topics, partitions, and brokers
    • Producers and Consumers
  • Advanced Concepts
    • Kafka Streams API
    • Kafka Connect
    • Consumer Groups, Offset management
  • Fault Tolerance & Scaling
    • Replication, fault tolerance, message ordering
    • Kafka architecture for high throughput and low latency

10. Docker & Kubernetes

  • Docker
    • Containers, images, and Dockerfile basics
    • Networking, volumes, and multi-container applications
    • Docker Compose for multi-container applications
  • Kubernetes
    • Pods, Services, Deployments, ReplicaSets
    • Namespaces, ConfigMaps, Secrets
    • Helm, Helm charts, and Package Management
    • Scaling applications, rolling updates, and deployments
    • Ingress controllers and Services (ClusterIP, NodePort, LoadBalancer)

11. Apache Airflow

  • Core Concepts
    • DAGs (Directed Acyclic Graphs), tasks, operators
    • Scheduling, task dependencies
    • Execution models (sequential, parallel, etc.)
  • Advanced Features
    • XComs, Task Instances
    • Airflow Executors and Parallelism
    • Sensors, Hooks, and custom Operators
  • Airflow Administration
    • Monitoring, logging, and troubleshooting
    • Airflow security and user management

12. General Trends in Technology(Basic Knowledge)

  • Cloud Computing
    • Public, private, and hybrid cloud
    • Serverless computing, cloud-native applications
  • AI/ML
    • Artificial Intelligence, Machine Learning algorithms
    • Natural Language Processing (NLP), Computer Vision
    • Generative AI models (e.g., ChatGPT, OpenAI API)
  • DevOps & Automation
    • Continuous Integration, Continuous Deployment (CI/CD)
    • Infrastructure as Code (IaC) with tools like Terraform and Ansible
  • Microservices Architecture
    • Designing and deploying microservices
    • API Gateway, service discovery, load balancing
  • Security
    • Secure coding practices, encryption, key management
    • OAuth2, JWT, and authentication mechanisms

13.Django

  • Basics
    • Setting Up a Django Project and Creating an App
    • Understanding the Project Structure (settings.py, urls.py, views.py)
    • Running the Development Server
    • URL Mapping and Routing
  • Templates and Rendering
    • Rendering HTML Templates with Context Data
    • Template Inheritance: Using base.html for Common Layouts
    • Template Tags and Filters ({% for %}, {% if %}, {{ variable|filter }})
  • Models and Databases
    • Defining Models and Fields (CharField, IntegerField, ForeignKey)
    • Performing Migrations (makemigrations, migrate)
    • Querying the Database with the Django ORM (filter, get, update)
    • Relationships in Models: One-to-One, Many-to-One, Many-to-Many
  • Forms and User Input
    • Creating and Handling Forms with forms.Form and forms.ModelForm
    • Validating User Input and Custom Validation Rules
    • Handling File Uploads
  • Authentication and Authorization
    • Built-in User Authentication System: Login, Logout, Password Management
    • Permission and Group Management
    • Role-Based Access Control (RBAC)
  • REST API Development
    • Setting Up Django REST Framework (DRF)
    • Serializers: Serializing Data for APIs
    • Creating API Views: Function-Based Views (FBVs) and Class-Based Views (CBVs)
    • Managing Authentication for APIs: Token-Based, JWT, and Session Authentication
  • Advanced Concepts
    • Middleware: Custom Middleware for Request/Response Processing
    • Signals: Pre-Save, Post-Save, and Other Signal Handlers
    • Caching: Using Django’s Built-in Cache Framework
    • Pagination and Filtering for Large Data Sets
  • Deployment and Optimization
    • Serving Static and Media Files in Production
    • Deployment with WSGI/ASGI Servers (Gunicorn, uWSGI)
    • Performance Optimization: Query Optimization, Indexing, and Caching
  • Additional Django Tools
    • Admin Panel Customization: Adding Models, Filters, and Custom Actions
    • Using Third-Party Packages: Django-Allauth, Django-Celery
    • Integrating Django with Frontend Frameworks (React, Vue.js)

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