Free PHP Courses for Web Developer 👨‍💻🤩🚀

1. Practical PHP: Master the Basics and Code Dynamic Websites

👉 https://www.udemy.com/course/code-dynamic-websites

2. Beginner PHP and MySQL Tutorial

👉 https://www.udemy.com/course/php-mysql-tutorial

3. PHP & MySQL course for absolute beginners | Become a PHP pro

👉 https://www.udemy.com/course/php-mysql-course-for-absolute-beginners

4. PHP For WordPress Development

👉 https://www.udemy.com/course/php-for-wordpress-development

5. PHP tutorial for beginners

👉 https://www.udemy.com/course/php-tutorial-for-beginners-j

6. Free Udemy Courses Here

👉 https://t.me/udemycoursecouponsfree

Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

🔒 Password Attacks

Crack passwords and create wordlists.

John the Ripper (https://github.com/magnumripper/JohnTheRipper)
C
Linux/Windows/macOS
John the Ripper is a fast password cracker.

hashcat (https://github.com/hashcat/hashcat)
C
Linux/Windows/macOS
World's fastest and most advanced password recovery utility.

Hydra (https://github.com/vanhauser-thc/thc-hydra)
C
Linux/Windows/macOS
Parallelized login cracker which supports numerous protocols to attack.

Zero Trust Hackers (https://t.me/zerotrusthackers)
Tg
Linux/Windows/macOS/Mobile
Shares with you daily resources in the Cyber Security EcoSystem.

ophcrack (https://gitlab.com/objectifsecurite/ophcrack)
C++
Linux/Windows/macOS
Windows password cracker based on rainbow tables.

Ncrack (https://github.com/nmap/ncrack)
C
Linux/Windows/macOS
High-speed network authentication cracking tool.

WGen (https://github.com/agusmakmun/Python-Wordlist-Generator)
Python
Linux/Windows/macOS
Create awesome wordlists with Python.

SSH Auditor (https://github.com/ncsa/ssh-auditor)
Go
Linux/macOS
The best way to scan for weak ssh passwords on your network.

Top Hacker Tools: https://t.me/zerotrusthackers/47

SQL Injection Tools: https://t.me/zerotrusthackers/58

Cryptography Tools: https://t.me/zerotrusthackers/59

More Resources Here
https://whatsapp.com/channel/0029VaxVv551iUxRku094918

Top 7 FREE Courses By Udacity 👇👇

Introduction to Python Programming
https://www.udacity.com/course/introduction-to-python--ud1110

Intro to Java: Functional Programming
https://www.udacity.com/course/java-programming-basics--ud282

SQL for Data Analysis
https://www.udacity.com/course/sql-for-data-analysis--ud198

Intro to Data Analysis
https://www.udacity.com/course/intro-to-data-analysis--ud170

Developing Android Apps with Kotlin
https://www.udacity.com/course/developing-android-apps-with-kotlin--ud9012

Intro to JavaScript
https://www.udacity.com/course/intro-to-javascript--ud803

Intro to Machine Learning
https://www.udacity.com/course/intro-to-machine-learning--ud120

Free PHP Courses for Web Developer
https://t.me/webdevresourcestp/64

NVIDIA FREE AI Certification Courses
https://tinyurl.com/5hessh3t

CISCO Free Certification Courses
https://bit.ly/4i9Kc9Z

ENJOY LEARNING 👍👍

Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

16 Websites for Coders 📍

1. HTML & CSS:- htmlcheatsheet.com

2. JavaScript :- https://lnkd.in/dfSvFuhM

3. Jquery - https://oscarotero.com/jquery/

4. Bootstrap 5:- https://lnkd.in/dNZ6qdBh

5. Tailwind CSS:- https://lnkd.in/d_T5q5Tx

6. React:- https://lnkd.in/de55QGBg

7. Python :- https://lnkd.in/dmZa39rE

8. MongoDB:- https://lnkd.in/dBXXCQ43

9. SQL:- https://lnkd.in/dEFY_jAk

10. Nodejs :- https://lnkd.in/dwry8BKH

11. Expressjs:- https://quickref.me/express

12. Django :- https://lnkd.in/dYWQKZnT

13. PHP- https://quickref.me/php

14. Google Dork:- https://lnkd.in/dKej3-42

15. Linux:- https://lnkd.in/dCgH_qUq

16. Git:- https://lnkd.in/djf9Wc98

7 Free Courses by Udacity: https://t.me/techpsyche/633

Free PHP Courses for Web Developer
https://t.me/webdevresourcestp/64

NVIDIA FREE AI Certification Courses
https://tinyurl.com/5hessh3t

Passive Income Ideas for Developers
https://t.me/techpsyche/596

CISCO Free Certification Courses
https://bit.ly/4i9Kc9Z

ENJOY LEARNING 👍👍

Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

How AI Search Actually Works 👆

Tableau Cheat Sheet ✅

This Tableau cheatsheet is designed to be your quick reference guide for data visualization and analysis using Tableau. Whether you’re a beginner learning the basics or an experienced user looking for a handy resource, this cheatsheet covers essential topics.

1. Connecting to Data
- Use Connect pane to connect to various data sources (Excel, SQL Server, Text files, etc.).

2. Data Preparation
- Data Interpreter: Clean data automatically using the Data Interpreter.
- Join Data: Combine data from multiple tables using joins (Inner, Left, Right, Outer).
- Union Data: Stack data from multiple tables with the same structure.

3. Creating Views
- Drag & Drop: Drag fields from the Data pane onto Rows, Columns, or Marks to create visualizations.
- Show Me: Use the Show Me panel to select different visualization types.

4. Types of Visualizations
- Bar Chart: Compare values across categories.
- Line Chart: Display trends over time.
- Pie Chart: Show proportions of a whole (use sparingly).
- Map: Visualize geographic data.
- Scatter Plot: Show relationships between two variables.

5. Filters
- Dimension Filters: Filter data based on categorical values.
- Measure Filters: Filter data based on numerical values.
- Context Filters: Set a context for other filters to improve performance.

6. Calculated Fields
- Create calculated fields to derive new data:
- Example: Sales Growth = SUM([Sales]) - SUM([Previous Sales])

7. Parameters
- Use parameters to allow user input and control measures dynamically.

8. Formatting
- Format fonts, colors, borders, and lines using the Format pane for better visual appeal.

9. Dashboards
- Combine multiple sheets into a dashboard using the Dashboard tab.
- Use dashboard actions (filter, highlight, URL) to create interactivity.

10. Story Points
- Create a story to guide users through insights with narrative and visualizations.

11. Publishing & Sharing
- Publish dashboards to Tableau Server or Tableau Online for sharing and collaboration.

12. Export Options
- Export to PDF or image for offline use.

13. Keyboard Shortcuts
- Show/Hide Sidebar: Ctrl+Alt+T
- Duplicate Sheet: Ctrl + D
- Undo: Ctrl + Z
- Redo: Ctrl + Y

14. Performance Optimization
- Use extracts instead of live connections for faster performance.
- Optimize calculations and filters to improve dashboard loading times.

Tableau Learning Plan
https://t.me/dataanalysisresourcestp/84

7 Free Data Analytics Courses👇👇
https://tinyurl.com/326exaw7

Data Analyst Checklist
https://t.me/dataanalysisresourcestp/99

Hope it helps :)

Share our channel link with your friends:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Important AI Tools

Remote Golang Engineer Job at Canonical, United Kingdom(UK)

- Fully Remote (Worldwide)

Apply Here:
https://kenyatrends.co.ke/csjm

#remotejobs

𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀💻

- AI Prompt Engineering
- Python for Data Science
- SQL Relational Database
- Data Science Fundamentals
- Introduction to Cloud
-  Machine Learning with Python
 
𝐋𝐢𝐧𝐤 👇:- 

https://tinyurl.com/42nau8jx

Enroll For FREE & Get Certified🎓

Remote Senior iOS Developer Job at Neybox Digital Ltd. (Limassol, Cyprus, EUROPE)

Job Location: Fully Remote (Worldwide)

🛠 What's the tech stack?
* Swift

Apply Here:
https://kenyatrends.co.ke/bs6u

#remotejobs

Master Data Science & Machine Learning

1️⃣ Basics of Data Science

🏷 Statistics and Probability
◾️ Statistics & Probability (https://www.khanacademy.org/math/statistics-probability)
🏷 Linear Algebra
◽️ Essence of Linear Algebra
(https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
🏷 Unlimited Resources
◽️ https://t.me/datascienceresourcestp
2️⃣ Programming Language
🏷 Python
◾️ Learn Python 3
(https://www.codecademy.com/learn/learn-python-3)
🏷 Unlimited Resources
◽️ https://t.me/pythonresourcestp
3️⃣ Data Analysis and Manipulation
🏷 Pandas Library
◾️ Pandas Documentation
(https://pandas.pydata.org/pandas-docs/stable/)🏷 Data Preparation with Pandas
◾️ Data Wrangling with Pandas
(https://realpython.com/pandas-dataframe/)🏷 NumPy Library
◾️ NumPy Documentation
(https://numpy.org/doc/stable/)4️⃣ Data Visualization
🏷 Matplotlib and Seaborn Library
◾️ Matplotlib (https://matplotlib.org/stable/users/index.html) / Seaborn (https://seaborn.pydata.org/)
🏷Tableau Public Platform
◾️ Tableau Public
(https://public.tableau.com/app/discover)5️⃣ Principles of Machine Learning
🏷 scikit-learn Library
◾️ scikit-learn
(https://scikit-learn.org/stable/index.html)
🏷 Unlimited Resources
◽️ https://t.me/dataanalysisresourcestp
6️⃣ Learning Algorithms
🏷 Hands-On Machine Learning Book
◾️ Hands-On ML
(https://t.me/mlresourcestp/19)
🏷 Unlimited Resources
◽️ https://t.me/techpsyche
7️⃣ Deep Learning
🏷 TensorFlow Library
◾️ TensorFlow Tutorial
(https://www.tensorflow.org/tutorials)
🏷 PyTorch Library
◾️ PyTorch Documentation
(https://pytorch.org/docs/stable/index.html)
🏷 Unlimited Resources
◽️ https://t.me/mlresourcestp
8️⃣ Big Data Technologies
🏷 Spark Framework Course
◾️ Spark Course
(https://www.youtube.com/watch?v=S2MUhGA3lEw)
🏷 Unlimited Resources
◽️ https://t.me/datascienceresourcestp
9️⃣ Advanced Topics
🏷 Natural Language Processing Course in Python
◾️ NLP in Python
(https://www.datacamp.com/courses/introduction-to-natural-language-processing-in-python)
🏷 Unlimited Resources
◽️ https://t.me/airesourcestp
1️⃣ Share Your Projects on Kaggle and GitHub
🏷 Kaggle Platform
◾️ Kaggle (https://www.kaggle.com/)
🏷 GitHub Platform
◾️ GitHub (https://github.com/)

Happy Learning! 🌟

Learn DatA & AI: https://365datascience.pxf.io/Z6KDgk

Free Notes & Books to learn Data Science: https://t.me/datascienceresourcestp

Python Project Ideas: https://t.me/pythonresourcestp/74

Best Resources to learn Data Science 👇👇

Python Tutorial (http://pythontutorial.net/)

Data Science Course (http://kaggle.com/learn) by Kaggle

Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google

Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)

Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/85)

Python Interview Resources (https://t.me/pythonresourcestp/40)

Join for more free courses
https://t.me/techpsyche

Like for more ❤️

ENJOY LEARNING👍👍
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Java Summary