Code Material
Open in Telegram
Welcome to Code Material β your one-stop destination for placement tips, online courses, coding tricks, tech insights, and smart shortcuts to boost your learning and career in tech. Stay Tuned β€οΈ
Show moreNo data
Subscribers
-124 hours
-57 days
-730 days
Posts Archive
π₯ Top Programming Languages to learn in 2023 - [Part 1] π₯
1. JavaScript
- learnjavascript.online
- t.me/javascript_courses/4
- learn-js.org
2. Java
- learnjavaonline.org
- javatpoint.com
3. C#
- learncs.org
- w3schools.com
4. TypeScript
- Typescriptlang.org
- learntypescript.dev
5. Rust
- rust-lang.org
- t.me/crackingthecodinginterview/724
- exercism.org
π₯ Top Programming Languages to learn in 2023 - [Part 1] π₯
6. Go PRogramming
- go.dev
- learn-golang.org
7. Kotlin
- kotlinlang.org
- w3schools.com/KOTLIN
8. Python
- learnpython.org
- t.me/pythonanalyst
9. SQL
- learnsql.com
- t.me/sqlanalyst
10. R Programming
- w3schools.com/r/
- r-coder.com
~ @CodeMaterial π₯
30-day roadmap to learn Python up to an intermediate level
Week 1: Python Basics
*Day 1-2:*
- Learn about Python, its syntax, and how to install Python on your computer.
- Write your first "Hello, World!" program.
- Understand variables and data types (integers, floats, strings).
*Day 3-4:*
- Explore basic operations (arithmetic, string concatenation).
- Learn about user input and how to use the
input() function.
- Practice creating and using variables.
*Day 5-7:*
- Dive into control flow with if statements, else statements, and loops (for and while).
- Work on simple programs that involve conditions and loops.
Week 2: Functions and Modules
*Day 8-9:*
- Study functions and how to define your own functions using def.
- Learn about function arguments and return values.
*Day 10-12:*
- Explore built-in functions and libraries (e.g., len(), random, math).
- Understand how to import modules and use their functions.
*Day 13-14:*
- Practice writing functions for common tasks.
- Create a small project that utilizes functions and modules.
Week 3: Data Structures
*Day 15-17:*
- Learn about lists and their operations (slicing, appending, removing).
- Understand how to work with lists of different data types.
*Day 18-19:*
- Study dictionaries and their key-value pairs.
- Practice manipulating dictionary data.
*Day 20-21:*
- Explore tuples and sets.
- Understand when and how to use each data structure.
Week 4: Intermediate Topics
*Day 22-23:*
- Study file handling and how to read/write files in Python.
- Work on projects involving file operations.
*Day 24-26:*
- Learn about exceptions and error handling.
- Explore object-oriented programming (classes and objects).
*Day 27-28:*
- Dive into more advanced topics like list comprehensions and generators.
- Study Python's built-in libraries for web development (e.g., requests).
*Day 29-30:*
- Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development).
- Work on a more complex project that combines your knowledge from the past weeks.
Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests.
ENJOY LEARNING πππ―IBM Off Campus Drive 2025 | Golden Opportunity for Freshers as Associate System Engineerπ
Job Role: Associate System Engineer
Qualification: Any Graduation
Batch: Any Batches
Salary: Up to βΉ 9 LPA
Apply @ https://jobforfresher.in/ibm-off-campus-drive-2025-golden-opportunity/
π Pass This Job Info To All Your Friends & Group
#PAIDPROMO π€
Buying OLD GROUPS β©
" YEAR : 2020 - 2022 / 2023
2024 : 1st 3 months "
Highest PRICE π₯
Dm @Zeno_xD π»
π‘Cyber Security Essentials PDF π
Show me your reactions for security more resources π
Cybersecurity Roadmap
|
|-- Fundamentals
| |-- Introduction to Cybersecurity
| | |-- Importance and Principles of Cybersecurity
| | |-- Types of Cybersecurity (Network, Information, Application, Cloud, etc.)
| | |-- Cybersecurity Threat Landscape (Malware, Phishing, Ransomware, etc.)
| |-- Network Security
| | |-- Firewalls and VPNs
| | |-- Intrusion Detection Systems (IDS)
| | |-- Intrusion Prevention Systems (IPS)
| | |-- Network Access Control
|
|-- Threats and Vulnerabilities
| |-- Types of Cyber Threats
| | |-- Malware (Viruses, Worms, Trojans, etc.)
| | |-- Phishing and Social Engineering
| | |-- Denial of Service (DoS) Attacks
| | |-- Insider Threats
| |-- Vulnerability Assessment
| | |-- Vulnerability Scanning
| | |-- Penetration Testing (Ethical Hacking)
| | |-- Security Audits and Assessments
|
|-- Encryption and Cryptography
| |-- Introduction to Cryptography
| | |-- Symmetric and Asymmetric Encryption
| | |-- Hashing Algorithms (SHA, MD5, etc.)
| | |-- Public Key Infrastructure (PKI)
| |-- Encryption Protocols
| | |-- SSL/TLS
| | |-- IPsec
|
|-- Identity and Access Management (IAM)
| |-- Authentication Mechanisms
| | |-- Password Policies and Multi-Factor Authentication (MFA)
| | |-- Biometric Authentication
| |-- Access Control Models
| | |-- Role-Based Access Control (RBAC)
| | |-- Attribute-Based Access Control (ABAC)
| | |-- Mandatory Access Control (MAC)
|
|-- Incident Response and Forensics
| |-- Incident Response Process
| | |-- Detection, Containment, Eradication, Recovery
| | |-- Incident Response Teams (CSIRT)
| |-- Digital Forensics
| | |-- Evidence Collection and Preservation
| | |-- Data Recovery
| | |-- Forensic Tools (Autopsy, EnCase, etc.)
|
|-- Security Operations
| |-- Security Monitoring
| | |-- Security Information and Event Management (SIEM)
| | |-- Log Management and Analysis
| | |-- Threat Intelligence
| |-- Security Operations Center (SOC)
| | |-- SOC Roles and Responsibilities
| | |-- Incident Management
|
|-- Cloud Security
| |-- Cloud Security Principles
| | |-- Shared Responsibility Model
| | |-- Data Protection in Cloud Environments
| |-- Cloud Security Tools
| | |-- Cloud Access Security Brokers (CASB)
| | |-- Security in Cloud Platforms (AWS, Azure, Google Cloud)
|
|-- Application Security
| |-- Secure Software Development
| | |-- Secure Coding Practices
| | |-- Software Development Life Cycle (SDLC)
| | |-- Secure Code Reviews
| |-- Web Application Security
| | |-- OWASP Top 10
| | |-- SQL Injection, Cross-Site Scripting (XSS), CSRF
|
|-- Compliance and Regulations
| |-- Cybersecurity Standards
| | |-- ISO/IEC 27001, NIST Cybersecurity Framework
| | |-- CIS Controls, SOC 2
| |-- Data Privacy Regulations
| | |-- GDPR
| | |-- HIPAA, CCPA, PCI DSS
|
|-- Advanced Topics
| |-- Advanced Persistent Threats (APT)
| | |-- Detection and Mitigation
| | |-- Threat Hunting
| |-- Blockchain Security
| | |-- Cryptographic Principles
| | |-- Smart Contracts and Security
| |-- IoT Security
| | |-- Securing IoT Devices
| | |-- Network Segmentation for IoT
|
|-- Emerging Trends
| |-- AI and Machine Learning in Cybersecurity
| | |-- AI-Based Threat Detection
| | |-- Automating Incident Response
| |-- Zero Trust Architecture
| | |-- Principles of Zero Trust
| | |-- Implementing Zero Trust in an Organization
|
|-- Soft Skills
| |-- Communication and Collaboration
| | |-- Reporting Security Incidents
| | |-- Collaboration with Other Departments
| |-- Ethical Hacking
| | |-- Red Teaming and Blue Teaming
| | |-- Bug Bounty Programs
~ @CodeMaterial β€οΈ
TOP 10 USEFUL WEBSITE FOR HACKERS
1. Kali Linux
2. Exploit Database
3. Hackers-Arise
4. GitHub
5. Packet Storm
6. SecurityFocus
7. SecurityTube
8. WebSecurify
9. BlackArch Linux
10. 0day Security
