.NET Full Stack అంటే ఏమిటి పూర్తి కెరీర్ గైడ్ తెలుగులో ఉద్యోగాలు, అర్హతలు, మరియు సర్టిఫికేషన్లు

సాధారణంగా ఒక వెబ్‌సైట్ లేదా అప్లికేషన్‌కి రెండు భాగాలు ఉంటాయి. ఒకటి మనం చూసే భాగం, అంటే స్క్రీన్‌పై కనిపించే బటన్స్, ఫొటోలు, టెక్స్ట్. దీన్నే ఫ్రంట్-ఎండ్ అంటారు. రెండోది, వెనుక ఉండే లాజిక్. ఉదాహరణకు, మనం ఒక ఫారం నింపితే, ఆ డేటా ఎక్కడ స్టోర్ అవుతుంది, ఎలా ప్రాసెస్ అవుతుంది అనే లాజిక్ అంతా. దీన్ని బ్యాక్-ఎండ్ అంటారు.

ఈ .NET Full Stack డెవలపర్ అంటే ఎవరంటే, ఫ్రంట్-ఎండ్, బ్యాక్-ఎండ్ రెండింటినీ .NET టెక్నాలజీలను ఉపయోగించి తయారుచేయగలిగే వ్యక్తి.

• ఫ్రంట్-ఎండ్‌లో: HTML, CSS, JavaScript లాంటివి ఉపయోగిస్తారు. అలాగే, కొన్ని ఆధునిక ఫ్రేమ్‌వర్క్స్ (React, Angular) కూడా ఉపయోగిస్తారు.

• బ్యాక్-ఎండ్‌లో: C# అనే ప్రోగ్రామింగ్ భాష, ASP.NET Core అనే ఫ్రేమ్‌వర్క్ మరియు SQL Server అనే డేటాబేస్ ఉపయోగిస్తారు.

ఎవరు నేర్చుకోవచ్చు?

ఈ కోర్సు నేర్చుకోవడానికి ఎవరికైనా ఆసక్తి ఉంటే చాలు. ప్రత్యేకంగా ఇదే ఉండాలి అని ఏమీ లేదు.

• కొత్తగా ప్రోగ్రామింగ్ నేర్చుకునేవారు: సాఫ్ట్‌వేర్ డెవలప్‌మెంట్‌లో కెరీర్ ప్రారంభించాలనుకునేవారికి ఇది మంచి అవకాశం.

• కంప్యూటర్ సైన్స్ విద్యార్థులు: కాలేజీలో చదువుతున్నవారు నేర్చుకుంటే ఉద్యోగ అవకాశాలు మెరుగుపడతాయి.

• ఇతర టెక్నాలజీ డెవలపర్లు: ఇప్పటికే వేరే టెక్నాలజీలో పనిచేస్తూ, తమ నైపుణ్యాలను పెంచుకోవాలనుకునేవారికి కూడా ఇది బాగా ఉపయోగపడుతుంది.

ఏం తెలిసి ఉండాలి?

ఈ కోర్సు నేర్చుకోవాలంటే కొన్ని ప్రాథమిక విషయాలు తెలిసి ఉండాలి.

• C# ప్రోగ్రామింగ్: .NET కి ఇది చాలా ముఖ్యం. దీనిపై మంచి అవగాహన ఉండాలి.

• OOP కాన్సెప్ట్‌లు: క్లాస్‌లు, ఆబ్జెక్ట్‌లు లాంటి ఆబ్జెక్ట్-ఓరియెంటెడ్ ప్రోగ్రామింగ్ కాన్సెప్ట్‌లు తెలిసి ఉండాలి.

• బేసిక్ వెబ్ టెక్నాలజీస్: HTML, CSS, JavaScript గురించి కనీస అవగాహన ఉండాలి.

• డేటాబేస్ నాలెడ్జ్: SQL ఎలా వాడాలి, డేటాబేస్‌లు ఎలా పనిచేస్తాయో తెలిసి ఉండాలి, ముఖ్యంగా SQL Server గురించి.

• ASP.NET Core: వెబ్ అప్లికేషన్లు ఎలా తయారుచేయాలో తెలిపే ఫ్రేమ్‌వర్క్ గురించి కూడా తెలుసుకోవాలి.

సర్టిఫికేషన్లు ఉన్నాయా?

అవునండి, మీ నైపుణ్యాలను నిరూపించుకోవడానికి రెండు ముఖ్యమైన సర్టిఫికేషన్లు ఉన్నాయి.

1. Microsoft Certified: Azure Developer Associate: ఇది మైక్రోసాఫ్ట్ క్లౌడ్‌లో అప్లికేషన్లు తయారుచేయడంపై మీకు ఉన్న నైపుణ్యాన్ని చూపిస్తుంది.

2. Microsoft Certified: .NET Developer: ఇది .NET టెక్నాలజీపై మీకు ఉన్న ప్రావీణ్యాన్ని నిర్ధారిస్తుంది. ఈ సర్టిఫికేషన్ మీ రెజ్యూమ్‌కి చాలా విలువను తెస్తుంది.

ఉద్యోగ అవకాశాలు ఎలా ఉంటాయి?

ప్రస్తుతం మార్కెట్‌లో .NET Full Stack డెవలపర్లకు చాలా మంచి డిమాండ్ ఉంది. పెద్ద కంపెనీలు, చిన్న స్టార్టప్‌లు కూడా తమ అప్లికేషన్ల కోసం .NET ను ఉపయోగిస్తాయి. ఈ రంగంలో నైపుణ్యం ఉన్నవారికి మంచి జీతాలు మరియు కెరీర్‌లో మంచి గ్రోత్ ఉంటుంది.

ఉద్యోగ పాత్రలు:

• .NET Full Stack Developer: వెబ్‌సైట్ లేదా అప్లికేషన్‌ను పూర్తిగా తయారుచేయడం.

• Web Developer: వెబ్ అప్లికేషన్‌లో ఫ్రంట్-ఎండ్ లేదా బ్యాక్-ఎండ్ పని చేయడం.

• Software Engineer: సాఫ్ట్‌వేర్ అప్లికేషన్లను రూపొందించడం, డెవలప్ చేయడం మరియు టెస్ట్ చేయడం.

• API Developer: రెండు అప్లికేషన్ల మధ్య కమ్యూనికేషన్ కోసం API లను తయారుచేయడం.

 

Python List Indexing & Slicing Infographic

Mastering Python Lists

A Visual Guide to Indexing & Slicing

1. Indexing: Pinpointing Elements

Dual Indexing System

Python lists can be accessed from both the beginning (positive index) and the end (negative index). This provides incredible flexibility for accessing elements regardless of list length.

Element	Positive Index	Negative Index
'A'	0	-5
'B'	1	-4
'C'	2	-3
'D'	3	-2
'E'	4	-1

0

Zero-Based Start

The first element of any Python list is always at index 0.

-1

The Last Element

The final element is always accessible at index -1.

2. Slicing: Extracting Subsequences

Slicing creates a new list from a portion of an existing one using the `list[start:end:step]` syntax. It's a powerful way to work with subsets of your data without modifying the original list.

Visualizing a Slice

This chart shows `my_list[2:7]`. Notice how the slice starts at index 2 and extracts 5 elements, stopping just before index 7.

The Golden Rule of Slicing

The `end` index is always exclusive.

The slice includes elements up to, but not including, the element at the `end` index. This is a crucial detail to avoid off-by-one errors.

# Create a shallow copy
new_list = old_list[:]

# Get every other element
evens = my_list[::2]

# Reverse the list
reversed_list = my_list[::-1]

3. Slice Assignment: Powerful In-Place Modification

This is where lists show their true power. By using a slice on the left side of an assignment, you can modify the list in-place, changing its contents and even its length dynamically.

Replace & Shrink

Replace a slice with a shorter sequence. The list contracts.

nums = [10, 20, 30, 40, 50]

nums[1:4] = [99, 88]

↓

[10, 99, 88, 50]

Insert Elements

Assign to an empty slice (`[i:i]`) to insert without replacing.

nums = [10, 50]

nums[1:1] = [20, 30, 40]

↓

[10, 20, 30, 40, 50]

Delete Elements

Assign an empty list to a slice to delete elements, or use `del`.

nums = [10, 20, 30, 40, 50]

del nums[1:4]

↓

[10, 50]

4. Core Concepts & Common Pitfalls

Mutability: Lists vs. Tuples

Lists are mutable (changeable), while types like tuples and strings are immutable (not changeable). This is the key reason write operations work on lists.

📝

List (Mutable)

✓ Can be changed

🔒

Tuple (Immutable)

✗ Cannot be changed

Aliasing vs. Copying

Assignment (`b = a`) creates an alias (two names, one list). Slicing (`c = a[:]`) creates a true, independent copy.

b = a (Alias)

b →

[1, 2, 3]

← a

c = a[:] (Copy)

c →

[1, 2, 3]

a →

[1, 2, 3]

Stepped Slice Assignment

When using a `step` in a slice assignment, the replacement sequence must be the exact same length as the slice it is replacing.

Common Errors to Avoid

⚠️

IndexError

Occurs when you try to access or assign to an index that doesn't exist (it's outside the list's bounds).

⚠️

ValueError

In this context, it's raised when the length of the new sequence doesn't match the length of a stepped slice during assignment.

Infographic created to visually explain Python list manipulation concepts.

All visualizations rendered on HTML Canvas using Chart.js. All diagrams built with HTML/CSS. No SVG or MermaidJS used.

Comprehensive Cyber Security Training: From Basics to Advanced VAPT & Bug Bounty

 

 CYBER SECURITY:

• ➡️ Introduction to Cyber Security

• ➡️ Types of JOBS

• ➡️ Types of Hacking or testing

• ➡️ Ethical Hacking

• ➡️ Communication Model

• ➡️ DNS, IP Types and introduction

• ➡️ PORTS & Usage

• ➡️ Cryptography

• ➡️ VAPT Introduction

• ➡️ VAPT Process we follow

🌐 Basics to WEB VAPT:

• ➡️ WEB Communication Model

• ➡️ Request & Response Components

• ➡️ Burpsuite tool Walkthrough

• ➡️ Recon of Web application ( Wappalyzer, shodon)

• ➡️ Vulnerability Severity ( C I A)

• ➡️ Report Pattern

• ➡️ CWE

• ➡️ Zero Day Vulnerability

• ➡️ HTTP & HTTPS

• ➡️ Types of Web Applications

💻 WEB APPLICATION VAPT:

• ➡️ OWASP Top 10 List

• ➡️ Session Vulnerabilities

• ➡️ Password Vulnerabilities

• ➡️ Authentication Vulnerabilities

• ➡️ Authorization Vulnerabilities

• ➡️ Security Misconfiguration Vulnerabilities

• ➡️ XSS Vulnerabilities

• ➡️ Business Logic Vulnerabilities

• ➡️ Injections (SQL, LDAP, COMMAND & XML)

• ➡️ Host Header Vulnerabilities

• ➡️ Input Vulnerabilities (XSS, HTML, CSS, Iframe)

• ➡️ CSRF

• ➡️ SSRF

• ➡️ Broken Access Control Vulnerabilities

• ➡️ IDOR

• ➡️ Sensitive Data Exposure Vulnerabilities

• ➡️ ASPX, PHP, TOMCAT Vulnerabilities

• ➡️ Rate Limiting, Brute Force Vulnerabilities

• ➡️ User Enumeration Vulnerabilities

• ➡️ Privilege Escalation

• ➡️ Low Vulnerabilities List

• ➡️ Remote Code Execution & File Upload Vulnerabilities

• ➡️ Complete Checklist

• ➡️ Automation Tools intro & Walkthrough

📡 NETWORK VAPT:

• ➡️ OST Model

• ➡️ PROTOCOLS

• ➡️ TCP

• ➡️ IP

• ➡️ Host Discovery, Port scanning & NMAP Tool

• ➡️ Nessus & Nexpose Tools

• ➡️ Metasploit

• ➡️ Firewalls, WIFI

• ➡️ DNS Spoofing

• ➡️ SMB Relay Attack

• ➡️ Password cracking

• ➡️ Checklist for Network VAPT

📱 MOBILE VAPT (ANDROID):

• ➡️ OWASP Top 10 List

• ➡️ Mobsf

• ➡️ Emulator Setup

• ➡️ Reverse Engineering

• ➡️ Static Analysis

• ➡️ Insecure Data storage

• ➡️ Dynamic analysis

• ➡️ Checklist for Mobile VAPT

• ➡️ Intro to IOS VAPT

🔗 API VAPT:

• ➡️ Types of API

• ➡️ Setup of Postman & SOAP

• ➡️ Session Vulnerabilities

• ➡️ Auth Vulnerabilities

• ➡️ Sensitive data exposure Vulnerabilities

• ➡️ Security Misconfiguration Vulnerabilities

• ➡️ Rate limiting

• ➡️ Injections

• ➡️ Input Vulnerabilities

• ➡️ JWT Vulnerabilities

• ➡️ Checklist For API VAPT

📝 SOURCE CODE REVIEW (VAPT):

• ➡️ SCR Introduction

• ➡️ Manual & Automated types

• ➡️ OWASP List

• ➡️ Language Specific Vulnerabilities

• ➡️ Encoding Vulnerabilities

• ➡️ Input validation Vulnerabilities

• ➡️ Business logic Vulnerabilities

• ➡️ Authentication & Authorization Vulnerabilities

• ➡️ Checklist for SCR

💰 Bug Bounty:

• ➡️ Introduction of Bugbounty

• ➡️ Profile Setup

• ➡️ Walkthrough

• ➡️ Reports & Access

• ➡️ Few tips Bypass techniques

• ➡️ Approach Methods

🛠️ Tools List:

• ➡️ Burpsuite

• ➡️ Wappalyzer, Shodon, Cookies Editor

• ➡️ Acunetix, Net Sparker

• ➡️ Mobsf, Ostra Labs

• ➡️ JADX

• ➡️ Mobile emulators: Nox Player & Genemotion

• ➡️ WordPress Scanner

• ➡️ NMAP

• ➡️ Metasploit

• ➡️ Nexpose & Nessus

• ➡️ POSTMAN & SOAP

• ➡️ OWASP ZAP

• ➡️ SQL MAP

• ➡️ Wireshark

• ➡️ Jhon the ripper

• ➡️ Checkmarx

• ➡️ Github

• ➡️ Kalilinux

Salesforce Manual Testing

 Salesforce Manual Testing involves thoroughly examining the Salesforce platform's functionality, configurations, and customizations without using automated tools. It's crucial for ensuring the system meets business requirements and provides a seamless user experience.

Here's a comprehensive course content outline for Salesforce Manual Testing:

Module 1: Introduction to Salesforce and CRM Concepts

• What is CRM? Importance and benefits.

• Introduction to Salesforce as a leading CRM platform.

• Salesforce Cloud offerings (Sales Cloud, Service Cloud, Marketing Cloud, etc.)

• Salesforce Editions and their differences.

• Salesforce Classic vs. Lightning Experience (UI differences).

• Salesforce terminology: Objects, Fields, Records, Apps, Tabs, etc.

• Understanding the Salesforce data model: Standard and Custom Objects, Relationships (Lookup, Master-Detail, Many-to-Many).

• Basic navigation and understanding the Salesforce UI.

Module 2: Fundamentals of Software Testing

• What is Software Testing? Why is it needed?

• Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).

• Testing principles and methodologies.

• Types of testing:

  • Functional Testing (understanding requirements, black-box testing)

  • System Testing

  • Integration Testing

  • Regression Testing

  • User Acceptance Testing (UAT)

  • Smoke/Sanity Testing

  • Exploratory Testing

• Test documentation: Test Plan, Test Cases, Test Scenarios, Traceability Matrix.

• Defect Management: Defect lifecycle, Severity, Priority, Bug reporting (using tools like Jira).

Module 3: Salesforce Administration Basics for Testers

• User Management:

  • Creating and managing Users.

  • Profiles and Permission Sets: Understanding their roles in security and access control.

  • Roles and Role Hierarchy.

  • Organizational Wide Defaults (OWD) and Sharing Rules.

  • Field-Level Security.

• Data Management:

  • Data Import Wizard and Data Loader (manual bulk data operations).

  • Data validation rules.

  • Duplicate rules.

• Customization Basics:

  • Creating Custom Objects, Fields, and Tabs.

  • Page Layouts and Record Types.

  • Workflow Rules and Process Builder (understanding automated business processes for testing).

  • Approval Processes.

  • Formula Fields and Roll-up Summary Fields.

• Reports and Dashboards: Understanding how to create and test them.

• Sandboxes: Types of sandboxes (Developer, Developer Pro, Partial Copy, Full Copy) and their use in testing.

• Deployment process overview (Change Sets).

Module 4: Manual Testing Techniques in Salesforce

• Test Case Design for Salesforce:

  • Writing clear, concise, and effective test cases.

  • Identifying positive and negative test scenarios.

  • Equivalence Partitioning and Boundary Value Analysis.

  • State Transition Testing.

• Functional Testing of Salesforce Features:

  • Testing Standard Salesforce functionalities (e.g., Lead conversion, Opportunity management, Case management).

  • Testing custom configurations and customizations (custom objects, fields, workflows, validation rules).

  • End-to-end business process testing.

• UI/UX Testing:

  • Testing page layouts, record types, list views.

  • Cross-browser and device compatibility testing (manual).

  • Usability testing.

• Integration Testing (Manual aspects):

  • Testing data flow and functionality between Salesforce and integrated external systems (if applicable).

  • Verifying data synchronization.

• Regression Testing Strategy:

  • Identifying critical areas for regression.

  • Creating and maintaining regression test suites.

• User Acceptance Testing (UAT):

  • Facilitating UAT with end-users.

  • Gathering feedback and managing sign-offs.

Module 5: Defect Management and Reporting

• Identifying and logging defects in a Defect Tracking System (e.g., Jira, Azure DevOps).

• Writing effective bug reports (clear steps to reproduce, expected vs. actual results, screenshots).

• Defect triaging and prioritization.

• Retesting and regression testing of fixed defects.

• Creating test summary reports.

Module 6: Best Practices and Challenges in Salesforce Manual Testing

• Understanding common challenges in Salesforce testing (frequent updates, complex customizations, dynamic UI).

• Strategies for effective manual testing in a Salesforce environment.

• Collaboration with developers and business analysts.

• Test data management strategies for Salesforce.

• Staying updated with Salesforce releases.

Module 7: Real-World Scenarios and Case Studies (Practical Exercises)

• Hands-on exercises simulating real Salesforce testing scenarios.

• Developing test cases for specific Salesforce functionalities or custom applications.

• Practicing defect logging and reporting.

Python Programming Training Concepts 🐍 Course Content 9059868766

 

Python Programming Concepts 🐍 +91 9059868766

9059868766

---

Module 1: Introduction to Python 🐍

• Python Overview 📝
• History & Features 📜
• Python 2 vs Python 3 🔢
• Installing Python & IDEs (PyCharm, VS Code, Jupyter) ⚙️
• First Steps 👣
  • Writing & Running Python Scripts ▶️
  • Python Interpreter (REPL) ⌨️
  • Comments & Docstrings 💬

Module 2: Python Basics 🧱

• Variables & Data Types 🗃️
  • Numbers (int, float, complex) 🔢
  • Strings (Operations, Formatting) 🔡
  • Booleans (True/False) ✅/❌
  • Type Conversion (int(), str(), etc.) 🔄
• Operators ➕➖✖️➗
  • Arithmetic, Comparison, Logical ➕=
  • Assignment & Identity Operators (is, is not) ➡️
• Input/Output 📤📥
  • input() & print() ⌨️/🖥️
  • Formatting Output (f-strings, .format()) ✨

Module 3: Control Flow 🚦

• Conditionals ❓
  • if, elif, else 岔
  • Ternary Operator ❓:
• Loops 🔄
  • for loops (with range(), enumerate()) 🔁
  • while loops ⏳
  • break, continue, pass 🛑/➡️/➡️
• Exception Handling ⚠️
  • try, except, finally 🛡️
  • Common Exceptions (ValueError, TypeError, etc.) 🐛

Module 4: Data Structures 📦

• Lists [ ]
  • Indexing/Slicing ✂️
  • Methods (append(), pop(), sort(), etc.) ➕/➖/ ترتیب
  • List Comprehensions 📝
• Tuples ( )
  • Immutable Nature 🔒
  • Packing/Unpacking 📦/📤
• Dictionaries { }
  • Key-Value Pairs 🔑: ➡️
  • Methods (keys(), values(), items()) 🔑/➡️/📦
• Sets { }
  • Unique Elements 🌟
  • Set Operations (Union, Intersection) ⋃/⋂
• Strings (Advanced) 🔡
  • Escape Sequences ➡️
  • String Methods (split(), join(), strip()) ✂️/🔗/➖

Module 5: Functions & Modules ⚙️

• Functions ⚙️
  • Defining & Calling Functions 📝/📞
  • Parameters (Positional, Keyword, Default) ➡️
  • *args & **kwargs ➡️
  • Return Values ↩️
  • Lambda Functions ➡️
• Scope & Namespaces 🌐
  • global & local Scope 🌎/🏘️
  • nonlocal Keyword 🏘️
• Modules & Packages 📦
  • Importing Modules (import, from…import) 📥
  • Creating Custom Modules 📝
  • __name__ == "__main__" 🏁

Module 6: File Handling 📁

• Working with Files 📁
  • Opening Files (open(), Modes: r, w, a) 🔓/📝/➕
  • Reading/Writing Text & Binary Files 📖/🖋️
  • Context Managers (with statement) 📦
• File Operations ⚙️
  • os & shutil Modules 📂
• Handling CSV/JSON Files (csv, json modules) 📊/ 🗝️

Module 7: Object-Oriented Programming (OOP) 📦

• Classes & Objects 🏢/📦
  • Attributes & Methods 📝/⚙️
  • self Keyword 🙋
  • Constructors (__init__()) 🏗️
• Inheritance 🧬
  • Single/Multiple Inheritance 🧬
  • Method Overriding 🖋️
• Polymorphism & Encapsulation 🎭/🔒
• Magic Methods (__str__, __len__) ✨
• Private Members (_ and __ conventions) 🤫
• Advanced OOP 🚀
  • Class/Static Methods 🏢/ ⚙️
  • Properties (@property Decorator) 🔑

Module 8: Advanced Topics 🚀

• Iterators & Generators ➡️
  • iter() & next() ➡️
  • yield Keyword 🌾
• Decorators 🎁
  • Creating & Using Decorators 📝/🎁
  • @staticmethod, @classmethod 🏢/ ⚙️
• Working with Dates/Time 📅/⏱️
  • datetime Module 📅
• Regular Expressions 🔍
  • re Module (Pattern Matching) 🧩

Module 9: Error Handling & Debugging 🐞

• Exceptions (Advanced) ⚠️
  • Custom Exceptions 🐛
  • Raising Exceptions ⬆️
• Debugging Tools 🛠️
  • pdb Module 🐛
  • Logging (logging Module) 🪵

Module 10: Introduction to Python Ecosystem 🌍

• Popular Libraries 📚
  • Brief Intro to numpy, pandas, matplotlib 🔢/📊/📈
• Virtual Environments 📦
  • venv & pip 📦
• Python in Web/Data/AI 🌐/📊/🧠
  • Flask/Django (Web) 🌐
  • Pandas (Data Analysis) 📊
  • TensorFlow/PyTorch (AI) 🧠
• Projects & Exercises 💻
  • Mini-Projects: ⚙️
    • Calculator 🧮
    • To-Do List App ☑️
    • Simple Web Scraper 🕸️
  • Coding Challenges: 🧩
    • Palindrome Checker 📝
    • Password Generator 🔑