Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
📱 Mobile App Development Frameworks & Their Use Cases 🚀📲
🔹 Flutter ➜ Cross-platform apps with a single codebase (Android + iOS)
🔹 React Native ➜ Build mobile apps using JavaScript & React
🔹 SwiftUI ➜ Native iOS app development with modern UI approach
🔹 Kotlin Multiplatform ➜ Share business logic across Android & iOS
🔹 Ionic ➜ Hybrid mobile apps using HTML, CSS & JavaScript
🔹 Xamarin ➜ Cross-platform apps using C# and .NET
🔹 Android Jetpack ➜ Modern Android app architecture components
🔹 Firebase ➜ Backend services for authentication, database & hosting
🔹 Unity ➜ Mobile game development with powerful graphics engine
🔹 Apache Cordova ➜ Convert web apps into mobile apps
💬 Tap ❤️ if this helped you!
Must do things before uploading your app to the store👇
t.me/mobiledevresourcestp/154
Mobile UI UX: t.me/mobiledevresourcestp/151
Kotlin Multiplatform: t.me/mobiledevresourcestp/145
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
🔹 Flutter ➜ Cross-platform apps with a single codebase (Android + iOS)
🔹 React Native ➜ Build mobile apps using JavaScript & React
🔹 SwiftUI ➜ Native iOS app development with modern UI approach
🔹 Kotlin Multiplatform ➜ Share business logic across Android & iOS
🔹 Ionic ➜ Hybrid mobile apps using HTML, CSS & JavaScript
🔹 Xamarin ➜ Cross-platform apps using C# and .NET
🔹 Android Jetpack ➜ Modern Android app architecture components
🔹 Firebase ➜ Backend services for authentication, database & hosting
🔹 Unity ➜ Mobile game development with powerful graphics engine
🔹 Apache Cordova ➜ Convert web apps into mobile apps
💬 Tap ❤️ if this helped you!
Must do things before uploading your app to the store👇
t.me/mobiledevresourcestp/154
Mobile UI UX: t.me/mobiledevresourcestp/151
Kotlin Multiplatform: t.me/mobiledevresourcestp/145
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Wake up early. Complete the single highest priority task. The rest becomes easy
THESE ARE THE MEANING OF THE FOLLOWING ABBREVIATIONS.
1.) GOOGLE - Global Organization Of Oriented Group Language Of Earth.
2.) YAHOO - Yet Another Hierarchical Officious Oracle.
3.) WINDOW - Wide Interactive Network Development for Office work Solution.
4.) COMPUTER - Common Oriented Machine Particularly United and used under Technical and Educational Research.
5.) VIRUS - Vital Information Resources Under Siege.
6.) UMTS - Universal Mobile Telecommunicati ons System.
7.) AMOLED - Active-matrix organic light-emitting diode.
8.) OLED - Organic light-emitting diode.
9.) IMEI - International Mobile Equipment Identity.
10.) ESN - Electronic Serial Number.
11.) UPS - Uninterruptible power supply.
12. HDMI - High-Definition Multimedia Interface.
13.) VPN - Virtual private network.
14.) APN - Access Point Name.
15.) SIM - Subscriber Identity Module.
16.) LED - Light emitting diode.
17.) DLNA - Digital Living Network Alliance.
18.) RAM - Random access memory.
19.) ROM - Read only memory.
20.) VGA - Video Graphics Array.
21.) QVGA - Quarter Video Graphics Array.
22.) WVGA - Wide video graphics array.
23.) WXGA - Widescreen Extended Graphics Array.
24.) USB - Universal serial Bus.
25.) WLAN - Wireless Local Area Network.
26.) PPI - Pixels Per Inch.
27.) LCD - Liquid Crystal Display.
28.) HSDPA - High speed down-link packet access.
29.) HSUPA - High-Speed Uplink Packet Access.
30.) HSPA - High Speed Packet Access.
31.) GPRS - General Packet Radio Service.
32.) EDGE - Enhanced Data Rates for Globa Evolution.
33.) NFC - Near field communication.
34.) OTG - On-the-go.
35.) S-LCD - Super Liquid Crystal Display.
36.) O.S - Operating system.
37.) SNS - Social network service.
38.) H.S - HOTSPOT.
39.) P.O.I - Point of interest.
40.) GPS - Global Positioning System.
41.) DVD - Digital Video Disk.
42.) DTP - Desk top publishing.
43.) DNSE - Digital natural sound engine.
44.) OVI - Ohio Video Intranet.
45.) CDMA - Code Division Multiple Access.
46.) WCDMA - Wide-band Code Division Multiple Access.
47.) GSM - Global System for Mobile Communications.
48.) WI-FI - Wireless Fidelity.
49.) DIVX - Digital internet video access.
50.) APK - Authenticated public key.
51.) J2ME - Java 2 micro edition.
52.) SIS - Installation
53.) DELL - Digital electronic link library.
54.) ACER - Acquisition Collaboration Experimentation Reflection.
55.) RSS - Really simple syndication.
56.) TFT - Thin Film Transistor
57.) AMR- Adaptive Multi-Rate.
58.) MPEG - moving pictures experts group.
59.) IVRS - Interactive Voice Response System.
60.) HP - Hewlett Packard.
Famous Programming Languages and Their Frameworks
t.me/techpsyche/1967
Best Programming Resources
topmate.io/learning_resources/1362011
Computer Science Free Courses
t.me/techpsyche/546
Passive Income Ideas for Developers
t.me/techpsyche/596
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1.) GOOGLE - Global Organization Of Oriented Group Language Of Earth.
2.) YAHOO - Yet Another Hierarchical Officious Oracle.
3.) WINDOW - Wide Interactive Network Development for Office work Solution.
4.) COMPUTER - Common Oriented Machine Particularly United and used under Technical and Educational Research.
5.) VIRUS - Vital Information Resources Under Siege.
6.) UMTS - Universal Mobile Telecommunicati ons System.
7.) AMOLED - Active-matrix organic light-emitting diode.
8.) OLED - Organic light-emitting diode.
9.) IMEI - International Mobile Equipment Identity.
10.) ESN - Electronic Serial Number.
11.) UPS - Uninterruptible power supply.
12. HDMI - High-Definition Multimedia Interface.
13.) VPN - Virtual private network.
14.) APN - Access Point Name.
15.) SIM - Subscriber Identity Module.
16.) LED - Light emitting diode.
17.) DLNA - Digital Living Network Alliance.
18.) RAM - Random access memory.
19.) ROM - Read only memory.
20.) VGA - Video Graphics Array.
21.) QVGA - Quarter Video Graphics Array.
22.) WVGA - Wide video graphics array.
23.) WXGA - Widescreen Extended Graphics Array.
24.) USB - Universal serial Bus.
25.) WLAN - Wireless Local Area Network.
26.) PPI - Pixels Per Inch.
27.) LCD - Liquid Crystal Display.
28.) HSDPA - High speed down-link packet access.
29.) HSUPA - High-Speed Uplink Packet Access.
30.) HSPA - High Speed Packet Access.
31.) GPRS - General Packet Radio Service.
32.) EDGE - Enhanced Data Rates for Globa Evolution.
33.) NFC - Near field communication.
34.) OTG - On-the-go.
35.) S-LCD - Super Liquid Crystal Display.
36.) O.S - Operating system.
37.) SNS - Social network service.
38.) H.S - HOTSPOT.
39.) P.O.I - Point of interest.
40.) GPS - Global Positioning System.
41.) DVD - Digital Video Disk.
42.) DTP - Desk top publishing.
43.) DNSE - Digital natural sound engine.
44.) OVI - Ohio Video Intranet.
45.) CDMA - Code Division Multiple Access.
46.) WCDMA - Wide-band Code Division Multiple Access.
47.) GSM - Global System for Mobile Communications.
48.) WI-FI - Wireless Fidelity.
49.) DIVX - Digital internet video access.
50.) APK - Authenticated public key.
51.) J2ME - Java 2 micro edition.
52.) SIS - Installation
53.) DELL - Digital electronic link library.
54.) ACER - Acquisition Collaboration Experimentation Reflection.
55.) RSS - Really simple syndication.
56.) TFT - Thin Film Transistor
57.) AMR- Adaptive Multi-Rate.
58.) MPEG - moving pictures experts group.
59.) IVRS - Interactive Voice Response System.
60.) HP - Hewlett Packard.
Famous Programming Languages and Their Frameworks
t.me/techpsyche/1967
Best Programming Resources
topmate.io/learning_resources/1362011
Computer Science Free Courses
t.me/techpsyche/546
Passive Income Ideas for Developers
t.me/techpsyche/596
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Remote Chrome | RemoteChrome.com | Remote Jobs
Remote Chrome
15 Legitimate Work-From-Home Jobs for Beginners (No Experience Required) - Remote Chrome
Finding a reliable remote job can feel overwhelming when you are just starting out. Many online listings demand years of specialized experience or technical
15 Legitimate Work-From-Home Jobs for Beginners (No Experience Required)
List Here: https://remotechrome.com/blog/15-legitimate-work-from-home-jobs-for-beginners-no-experience-required/
List Here: https://remotechrome.com/blog/15-legitimate-work-from-home-jobs-for-beginners-no-experience-required/
Forwarded from Kenya Talent Help | Jobs & Opportunities | Jobs in Kenya | Kenya Jobs | Careers | Job Vacancies Kenya
KenyaTrends.co.ke
The University of British Columbia UBC International Scholars Program for International Students (Fully Funded) - Trends
The University of British Columbia (UBC) International Scholars Program offers prestigious funding packages to high-achieving international students who
🚨FULLY FUNDED SCHOLARSHIP ALERT
🎓The University of British Columbia UBC International Scholars Program for International Students (Fully Funded)
Application Details Here 👇
https://kenyatrends.co.ke/opportunities/scholarships/the-university-of-british-columbia-ubc-international-scholars-program-for-international-students-fully-funded/
🎓The University of British Columbia UBC International Scholars Program for International Students (Fully Funded)
Application Details Here 👇
https://kenyatrends.co.ke/opportunities/scholarships/the-university-of-british-columbia-ubc-international-scholars-program-for-international-students-fully-funded/
Data Analyst Learning Plan in 2025
|-- Week 1: Introduction to Data Analysis
| |-- Data Analysis Fundamentals
| | |-- What is Data Analysis?
| | |-- Types of Data Analysis
| | |-- Data Analysis Workflow
| |-- Tools and Environment Setup
| | |-- Overview of Tools (Excel, SQL)
| | |-- Installing Necessary Software
| | |-- Setting Up Your Workspace
| |-- First Data Analysis Project
| | |-- Data Collection
| | |-- Data Cleaning
| | |-- Basic Data Exploration
|
|-- Week 2: Data Collection and Cleaning
| |-- Data Collection Methods
| | |-- Primary vs. Secondary Data
| | |-- Web Scraping
| | |-- APIs
| |-- Data Cleaning Techniques
| | |-- Handling Missing Values
| | |-- Data Transformation
| | |-- Data Normalization
| |-- Data Quality
| | |-- Ensuring Data Accuracy
| | |-- Data Integrity
| | |-- Data Validation
|
|-- Week 3: Data Exploration and Visualization
| |-- Exploratory Data Analysis (EDA)
| | |-- Descriptive Statistics
| | |-- Data Distribution
| | |-- Correlation Analysis
| |-- Data Visualization Basics
| | |-- Choosing the Right Chart Type
| | |-- Creating Basic Charts
| | |-- Customizing Visuals
| |-- Advanced Data Visualization
| | |-- Interactive Dashboards
| | |-- Storytelling with Data
| | |-- Data Presentation Techniques
|
|-- Week 4: Statistical Analysis
| |-- Introduction to Statistics
| | |-- Descriptive vs. Inferential Statistics
| | |-- Probability Theory
| |-- Hypothesis Testing
| | |-- Null and Alternative Hypotheses
| | |-- t-tests, Chi-square tests
| | |-- p-values and Significance Levels
| |-- Regression Analysis
| | |-- Simple Linear Regression
| | |-- Multiple Linear Regression
| | |-- Logistic Regression
|
|-- Week 5: SQL for Data Analysis (https://t.me/sqlresourcestp)
| |-- SQL Basics
| | |-- SQL Syntax
| | |-- Select, Insert, Update, Delete
| |-- Advanced SQL
| | |-- Joins and Subqueries
| | |-- Window Functions
| | |-- Stored Procedures
| |-- SQL for Data Analysis
| | |-- Data Aggregation
| | |-- Data Transformation
| | |-- SQL for Reporting
|
|-- Week 6-8: Python for Data Analysis (https://t.me/pythonresourcestp)
| |-- Python Basics
| | |-- Python Syntax
| | |-- Data Types and Structures
| | |-- Functions and Loops
| |-- Data Analysis with Python
| | |-- NumPy for Numerical Data
| | |-- Pandas for Data Manipulation
| | |-- Matplotlib and Seaborn for Visualization
| |-- Advanced Data Analysis in Python
| | |-- Time Series Analysis
| | |-- Machine Learning Basics
| | |-- Data Pipelines
|
|-- Week 9-11: Real-world Applications and Projects (https://t.me/techpsyche)
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Models
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Data Analysis with Excel
| | |-- Data Analysis with R
| | |-- Data Analysis with Tableau/Power BI
|
|-- Week 12: Post-Project Learning
| |-- Data Analysis for Business Intelligence
| | |-- KPI Dashboards
| | |-- Financial Reporting
| | |-- Sales and Marketing Analytics
| |-- Advanced Data Analysis Topics
| | |-- Big Data Technologies
| | |-- Cloud Data Warehousing
| |-- Continuing Education
| | |-- Advanced Data Analysis Techniques
| | |-- Community and Forums
| | |-- Keeping Up with Updates
|-- Resources and Community
| |-- Online Courses (edX, Udemy) (t.me/freecoursescentre)
| |-- Books (topmate.io/learning_resources/1362011)
| |-- Google Data Analytics Free Courses (intercomuniversity.com/free-courses/it-software/data-analytics/3-powerful-free-data-analytics-certification-courses/)
I have curated best Top-Notch Data Analytics Resources 👇👇
topmate.io/learning_resources/1456762
Like this post for more content like this 👍♥️
|-- Week 1: Introduction to Data Analysis
| |-- Data Analysis Fundamentals
| | |-- What is Data Analysis?
| | |-- Types of Data Analysis
| | |-- Data Analysis Workflow
| |-- Tools and Environment Setup
| | |-- Overview of Tools (Excel, SQL)
| | |-- Installing Necessary Software
| | |-- Setting Up Your Workspace
| |-- First Data Analysis Project
| | |-- Data Collection
| | |-- Data Cleaning
| | |-- Basic Data Exploration
|
|-- Week 2: Data Collection and Cleaning
| |-- Data Collection Methods
| | |-- Primary vs. Secondary Data
| | |-- Web Scraping
| | |-- APIs
| |-- Data Cleaning Techniques
| | |-- Handling Missing Values
| | |-- Data Transformation
| | |-- Data Normalization
| |-- Data Quality
| | |-- Ensuring Data Accuracy
| | |-- Data Integrity
| | |-- Data Validation
|
|-- Week 3: Data Exploration and Visualization
| |-- Exploratory Data Analysis (EDA)
| | |-- Descriptive Statistics
| | |-- Data Distribution
| | |-- Correlation Analysis
| |-- Data Visualization Basics
| | |-- Choosing the Right Chart Type
| | |-- Creating Basic Charts
| | |-- Customizing Visuals
| |-- Advanced Data Visualization
| | |-- Interactive Dashboards
| | |-- Storytelling with Data
| | |-- Data Presentation Techniques
|
|-- Week 4: Statistical Analysis
| |-- Introduction to Statistics
| | |-- Descriptive vs. Inferential Statistics
| | |-- Probability Theory
| |-- Hypothesis Testing
| | |-- Null and Alternative Hypotheses
| | |-- t-tests, Chi-square tests
| | |-- p-values and Significance Levels
| |-- Regression Analysis
| | |-- Simple Linear Regression
| | |-- Multiple Linear Regression
| | |-- Logistic Regression
|
|-- Week 5: SQL for Data Analysis (https://t.me/sqlresourcestp)
| |-- SQL Basics
| | |-- SQL Syntax
| | |-- Select, Insert, Update, Delete
| |-- Advanced SQL
| | |-- Joins and Subqueries
| | |-- Window Functions
| | |-- Stored Procedures
| |-- SQL for Data Analysis
| | |-- Data Aggregation
| | |-- Data Transformation
| | |-- SQL for Reporting
|
|-- Week 6-8: Python for Data Analysis (https://t.me/pythonresourcestp)
| |-- Python Basics
| | |-- Python Syntax
| | |-- Data Types and Structures
| | |-- Functions and Loops
| |-- Data Analysis with Python
| | |-- NumPy for Numerical Data
| | |-- Pandas for Data Manipulation
| | |-- Matplotlib and Seaborn for Visualization
| |-- Advanced Data Analysis in Python
| | |-- Time Series Analysis
| | |-- Machine Learning Basics
| | |-- Data Pipelines
|
|-- Week 9-11: Real-world Applications and Projects (https://t.me/techpsyche)
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Models
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Data Analysis with Excel
| | |-- Data Analysis with R
| | |-- Data Analysis with Tableau/Power BI
|
|-- Week 12: Post-Project Learning
| |-- Data Analysis for Business Intelligence
| | |-- KPI Dashboards
| | |-- Financial Reporting
| | |-- Sales and Marketing Analytics
| |-- Advanced Data Analysis Topics
| | |-- Big Data Technologies
| | |-- Cloud Data Warehousing
| |-- Continuing Education
| | |-- Advanced Data Analysis Techniques
| | |-- Community and Forums
| | |-- Keeping Up with Updates
|-- Resources and Community
| |-- Online Courses (edX, Udemy) (t.me/freecoursescentre)
| |-- Books (topmate.io/learning_resources/1362011)
| |-- Google Data Analytics Free Courses (intercomuniversity.com/free-courses/it-software/data-analytics/3-powerful-free-data-analytics-certification-courses/)
I have curated best Top-Notch Data Analytics Resources 👇👇
topmate.io/learning_resources/1456762
Like this post for more content like this 👍♥️
Forwarded from Free Courses: Google | Microsoft | Udemy | Coursera | IBM | NVIDIA | LinkedIn Learning | MIT | Udemy Coupons & PDF Books
Harvard CS50 – Free Computer Science Course (2023 Edition)
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/
Michigan University Free Courses
https://t.me/freecoursescentre/158
IBM Free Certification Courses
https://intercomuniversity.com/tag/microsoft/
More Resources Here
https://whatsapp.com/channel/0029Vatt3A635fLoJKXrp71G
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/
Michigan University Free Courses
https://t.me/freecoursescentre/158
IBM Free Certification Courses
https://intercomuniversity.com/tag/microsoft/
More Resources Here
https://whatsapp.com/channel/0029Vatt3A635fLoJKXrp71G
👇-----🅸🅼🅿️🅾️🆁🆃🅰️🅽🆃----👇
Advertise with us on this Platform Today!
Boost the reach of your Project, Business, Services or Post, Today!
WhatsApp: https://wa.me/254748222486?text=Advertise%20on%20Tech%20Psyche
Telegram: https://t.me/mycontactpoint
If you need us to create Video Adverts or Posters for you, we also offer that.
Advertise with us on this Platform Today!
Boost the reach of your Project, Business, Services or Post, Today!
WhatsApp: https://wa.me/254748222486?text=Advertise%20on%20Tech%20Psyche
Telegram: https://t.me/mycontactpoint
If you need us to create Video Adverts or Posters for you, we also offer that.
INDIA🇮🇳 Stripe is HiringSoftware Engineer, Intern
🏤Organization: Stripe
📍Location: Bengaluru, India
How To Apply:
stripe.com/careers/listing/software-engineer-intern/8031833
Telegram Channel👇
t.me/jobsourceglobal
WhatsApp Channel👇
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
Most problems do not require more effort; they require a better perspective. Stepping back is part of disciplined problem-solving.
👨💻How to protect your Website against potential hacks?🗳
An organization can adopt the following policy to protect itself against web server attacks.
🌀SQL Injection– sanitizing and validating user parameters before submitting them to the database for processing can help reduce the chances of been attacked via SQL Injection. Database engines such as MS SQL Server, MySQL, etc. support parameters, and prepared statements. They are much safer than traditional SQL statements
🌀Denial of Service Attack - firewalls can be used to drop traffic from suspicious IP address if the attack is a simple DoS. Proper configuration of networks and Intrusion Detection System can also help reduce the chances of a DoS attack been successful.
🌀Cross Site Scripting - validating and sanitizing headers, parameters passed via the URL, form parameters and hidden values can help reduce XSS attacks.
🌀Cookie/Session Poisoning– this can be prevented by encrypting the contents of the cookies, timing out the cookies after some time, associating the cookies with the client IP address that was used to create them.
🌀Form tempering – this can be prevented by validating and verifying the user input before processing it.
🌀Code Injection - this can be prevented by treating all parameters as data rather than executable code. Sanitization and Validation can be used to implement this.
🌀Defacement – a good web application development security policy should ensure that it seals the commonly used vulnerabilities to access the web server. This can be a proper configuration of the operating system, web server software, and best security practices when developing web applications.
How to solve CTF: t.me/zerotrusthackers/76
Cyber Security Course for Beginners: udemy.com/course/certified-secure-netizen/
Red Team Free Course: t.me/zerotrusthackers/68
Google Dorks for Information Gathering: t.me/zerotrusthackers/54
WhatsApp Channel:
whatsapp.com/channel/0029VaxVv551iUxRku094918
An organization can adopt the following policy to protect itself against web server attacks.
🌀SQL Injection– sanitizing and validating user parameters before submitting them to the database for processing can help reduce the chances of been attacked via SQL Injection. Database engines such as MS SQL Server, MySQL, etc. support parameters, and prepared statements. They are much safer than traditional SQL statements
🌀Denial of Service Attack - firewalls can be used to drop traffic from suspicious IP address if the attack is a simple DoS. Proper configuration of networks and Intrusion Detection System can also help reduce the chances of a DoS attack been successful.
🌀Cross Site Scripting - validating and sanitizing headers, parameters passed via the URL, form parameters and hidden values can help reduce XSS attacks.
🌀Cookie/Session Poisoning– this can be prevented by encrypting the contents of the cookies, timing out the cookies after some time, associating the cookies with the client IP address that was used to create them.
🌀Form tempering – this can be prevented by validating and verifying the user input before processing it.
🌀Code Injection - this can be prevented by treating all parameters as data rather than executable code. Sanitization and Validation can be used to implement this.
🌀Defacement – a good web application development security policy should ensure that it seals the commonly used vulnerabilities to access the web server. This can be a proper configuration of the operating system, web server software, and best security practices when developing web applications.
How to solve CTF: t.me/zerotrusthackers/76
Cyber Security Course for Beginners: udemy.com/course/certified-secure-netizen/
Red Team Free Course: t.me/zerotrusthackers/68
Google Dorks for Information Gathering: t.me/zerotrusthackers/54
WhatsApp Channel:
whatsapp.com/channel/0029VaxVv551iUxRku094918
20% of clarity is thinking.
80% of clarity is doing.
That is why you have to keep your hands dirty to learn more and build skills
🔆 t.me/techpsyche
80% of clarity is doing.
That is why you have to keep your hands dirty to learn more and build skills
🔆 t.me/techpsyche
Forwarded from FreeCourses.Top
FreeCourses.Top
Top 5 Free Platforms to Learn Microsoft Excel Online - FreeCourses.Top
Learning Excel doesn't have to cost you a dime. Trying to understand formulas or a job seeker looking to add "Pivot Tables" to your resume, the internet is
Top 5 Free Platforms to Learn Microsoft Excel Online
Check Here: https://freecourses.top/blog/top-5-free-platforms-to-learn-microsoft-excel-online/
Check Here: https://freecourses.top/blog/top-5-free-platforms-to-learn-microsoft-excel-online/