Remote Senior iOS Developer Job at Neybox Digital Ltd. (Limassol, Cyprus, EUROPE)
Job Location: Fully Remote (Worldwide)
π What's the tech stack?
* Swift
Apply Here:
https://kenyatrends.co.ke/bs6u
#remotejobs
Job Location: Fully Remote (Worldwide)
π What's the tech stack?
* Swift
Apply Here:
https://kenyatrends.co.ke/bs6u
#remotejobs
Master Data Science & Machine Learning
1οΈβ£ Basics of Data Science
π· Statistics and Probability
βΎοΈ Statistics & Probability (https://www.khanacademy.org/math/statistics-probability)
π· Linear Algebra
β½οΈ Essence of Linear Algebra
(https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
π· Unlimited Resources
β½οΈ https://t.me/datascienceresourcestp
2οΈβ£ Programming Language
π· Python
βΎοΈ Learn Python 3
(https://www.codecademy.com/learn/learn-python-3)
π· Unlimited Resources
β½οΈ https://t.me/pythonresourcestp
3οΈβ£ Data Analysis and Manipulation
π· Pandas Library
βΎοΈ Pandas Documentation
(https://pandas.pydata.org/pandas-docs/stable/)π· Data Preparation with Pandas
βΎοΈ Data Wrangling with Pandas
(https://realpython.com/pandas-dataframe/)π· NumPy Library
βΎοΈ NumPy Documentation
(https://numpy.org/doc/stable/)4οΈβ£ Data Visualization
π· Matplotlib and Seaborn Library
βΎοΈ Matplotlib (https://matplotlib.org/stable/users/index.html) / Seaborn (https://seaborn.pydata.org/)
π·Tableau Public Platform
βΎοΈ Tableau Public
(https://public.tableau.com/app/discover)5οΈβ£ Principles of Machine Learning
π· scikit-learn Library
βΎοΈ scikit-learn
(https://scikit-learn.org/stable/index.html)
π· Unlimited Resources
β½οΈ https://t.me/dataanalysisresourcestp
6οΈβ£ Learning Algorithms
π· Hands-On Machine Learning Book
βΎοΈ Hands-On ML
(https://t.me/mlresourcestp/19)
π· Unlimited Resources
β½οΈ https://t.me/techpsyche
7οΈβ£ Deep Learning
π· TensorFlow Library
βΎοΈ TensorFlow Tutorial
(https://www.tensorflow.org/tutorials)
π· PyTorch Library
βΎοΈ PyTorch Documentation
(https://pytorch.org/docs/stable/index.html)
π· Unlimited Resources
β½οΈ https://t.me/mlresourcestp
8οΈβ£ Big Data Technologies
π· Spark Framework Course
βΎοΈ Spark Course
(https://www.youtube.com/watch?v=S2MUhGA3lEw)
π· Unlimited Resources
β½οΈ https://t.me/datascienceresourcestp
9οΈβ£ Advanced Topics
π· Natural Language Processing Course in Python
βΎοΈ NLP in Python
(https://www.datacamp.com/courses/introduction-to-natural-language-processing-in-python)
π· Unlimited Resources
β½οΈ https://t.me/airesourcestp
1οΈβ£ Share Your Projects on Kaggle and GitHub
π· Kaggle Platform
βΎοΈ Kaggle (https://www.kaggle.com/)
π· GitHub Platform
βΎοΈ GitHub (https://github.com/)
Happy Learning! π
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 ππ
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 β€οΈ
ENJOY LEARNINGππ
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1οΈβ£ Basics of Data Science
π· Statistics and Probability
βΎοΈ Statistics & Probability (https://www.khanacademy.org/math/statistics-probability)
π· Linear Algebra
β½οΈ Essence of Linear Algebra
(https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
π· Unlimited Resources
β½οΈ https://t.me/datascienceresourcestp
2οΈβ£ Programming Language
π· Python
βΎοΈ Learn Python 3
(https://www.codecademy.com/learn/learn-python-3)
π· Unlimited Resources
β½οΈ https://t.me/pythonresourcestp
3οΈβ£ Data Analysis and Manipulation
π· Pandas Library
βΎοΈ Pandas Documentation
(https://pandas.pydata.org/pandas-docs/stable/)π· Data Preparation with Pandas
βΎοΈ Data Wrangling with Pandas
(https://realpython.com/pandas-dataframe/)π· NumPy Library
βΎοΈ NumPy Documentation
(https://numpy.org/doc/stable/)4οΈβ£ Data Visualization
π· Matplotlib and Seaborn Library
βΎοΈ Matplotlib (https://matplotlib.org/stable/users/index.html) / Seaborn (https://seaborn.pydata.org/)
π·Tableau Public Platform
βΎοΈ Tableau Public
(https://public.tableau.com/app/discover)5οΈβ£ Principles of Machine Learning
π· scikit-learn Library
βΎοΈ scikit-learn
(https://scikit-learn.org/stable/index.html)
π· Unlimited Resources
β½οΈ https://t.me/dataanalysisresourcestp
6οΈβ£ Learning Algorithms
π· Hands-On Machine Learning Book
βΎοΈ Hands-On ML
(https://t.me/mlresourcestp/19)
π· Unlimited Resources
β½οΈ https://t.me/techpsyche
7οΈβ£ Deep Learning
π· TensorFlow Library
βΎοΈ TensorFlow Tutorial
(https://www.tensorflow.org/tutorials)
π· PyTorch Library
βΎοΈ PyTorch Documentation
(https://pytorch.org/docs/stable/index.html)
π· Unlimited Resources
β½οΈ https://t.me/mlresourcestp
8οΈβ£ Big Data Technologies
π· Spark Framework Course
βΎοΈ Spark Course
(https://www.youtube.com/watch?v=S2MUhGA3lEw)
π· Unlimited Resources
β½οΈ https://t.me/datascienceresourcestp
9οΈβ£ Advanced Topics
π· Natural Language Processing Course in Python
βΎοΈ NLP in Python
(https://www.datacamp.com/courses/introduction-to-natural-language-processing-in-python)
π· Unlimited Resources
β½οΈ https://t.me/airesourcestp
1οΈβ£ Share Your Projects on Kaggle and GitHub
π· Kaggle Platform
βΎοΈ Kaggle (https://www.kaggle.com/)
π· GitHub Platform
βΎοΈ GitHub (https://github.com/)
Happy Learning! π
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 ππ
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 β€οΈ
ENJOY LEARNINGππ
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
π°List of Decompilersπ°
JVM-Based Languages
β’ Krakatau (https://github.com/Storyyeller/Krakatau) - the best decompiler I have used. Is able to decompile apps written in Scala and Kotlin into Java code. JD-GUI and Luyten have failed to do it fully.
β’ JD-GUI (https://github.com/java-decompiler/jd-gui)
β’ procyon (https://bitbucket.org/mstrobel/procyon/wiki/Java%20Decompiler)
β¦ Luyten (https://github.com/deathmarine/Luyten) - one of the best, though a bit slow, hangs on some binaries and not very well maintained.
β’ JAD (http://varaneckas.com/jad/) - JAD Java Decompiler (closed-source, unmaintained)
β’ JADX (https://github.com/skylot/jadx) - a decompiler for Android apps. Not related to JAD.
.NET-Based Languages
β¦ dotPeek (https://www.jetbrains.com/decompiler/) - a free-of-charge .NET decompiler from JetBrains
β¦ ILSpy (https://github.com/icsharpcode/ILSpy/) - an open-source .NET assembly browser and decompiler
β¦ dnSpy (https://github.com/0xd4d/dnSpy) - .NET assembly editor, decompiler, and debugger
Native Code
β¦ Hopper (https://www.hopperapp.com/) - A OS X and Linux Disassembler/Decompiler for 32/64-bit Windows/Mac/Linux/iOS executables.
β¦ cutter (https://github.com/radareorg/cutter) - a decompiler based on radare2.
β¦ retdec (https://github.com/avast-tl/retdec)
β¦ snowman (https://github.com/yegord/snowman)
β¦ Hex-Rays (https://www.hex-rays.com/products/decompiler/)
Python
β¦ uncompyle6 (https://github.com/rocky/python-uncompyle6) - decompiler for the over 20 releases and 20 years of CPython.
7 Free Courses by Udacity: https://t.me/techpsyche/633
ML Crash Course by Google
https://developers.google.com/machine-learning/crash-course
IBM Free Courses with Certification
https://tinyurl.com/42nau8jx
Passive Income Ideas for Developers
https://t.me/techpsyche/596
CISCO Free Certification Courses
https://bit.ly/4i9Kc9Z
ENJOY LEARNING ππ
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
JVM-Based Languages
β’ Krakatau (https://github.com/Storyyeller/Krakatau) - the best decompiler I have used. Is able to decompile apps written in Scala and Kotlin into Java code. JD-GUI and Luyten have failed to do it fully.
β’ JD-GUI (https://github.com/java-decompiler/jd-gui)
β’ procyon (https://bitbucket.org/mstrobel/procyon/wiki/Java%20Decompiler)
β¦ Luyten (https://github.com/deathmarine/Luyten) - one of the best, though a bit slow, hangs on some binaries and not very well maintained.
β’ JAD (http://varaneckas.com/jad/) - JAD Java Decompiler (closed-source, unmaintained)
β’ JADX (https://github.com/skylot/jadx) - a decompiler for Android apps. Not related to JAD.
.NET-Based Languages
β¦ dotPeek (https://www.jetbrains.com/decompiler/) - a free-of-charge .NET decompiler from JetBrains
β¦ ILSpy (https://github.com/icsharpcode/ILSpy/) - an open-source .NET assembly browser and decompiler
β¦ dnSpy (https://github.com/0xd4d/dnSpy) - .NET assembly editor, decompiler, and debugger
Native Code
β¦ Hopper (https://www.hopperapp.com/) - A OS X and Linux Disassembler/Decompiler for 32/64-bit Windows/Mac/Linux/iOS executables.
β¦ cutter (https://github.com/radareorg/cutter) - a decompiler based on radare2.
β¦ retdec (https://github.com/avast-tl/retdec)
β¦ snowman (https://github.com/yegord/snowman)
β¦ Hex-Rays (https://www.hex-rays.com/products/decompiler/)
Python
β¦ uncompyle6 (https://github.com/rocky/python-uncompyle6) - decompiler for the over 20 releases and 20 years of CPython.
7 Free Courses by Udacity: https://t.me/techpsyche/633
ML Crash Course by Google
https://developers.google.com/machine-learning/crash-course
IBM Free Courses with Certification
https://tinyurl.com/42nau8jx
Passive Income Ideas for Developers
https://t.me/techpsyche/596
CISCO Free Certification Courses
https://bit.ly/4i9Kc9Z
ENJOY LEARNING ππ
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from SQL Resources TP
Practice these 5 intermediate SQL interview questions today!
1. Write a SQL query for cumulative sum of salary of each employee from Jan to July. (Column name β Emp_id, Month, Salary).
2. Write a SQL query to display year on year growth for each product. (Column name β transaction_id, Product_id, transaction_date, spend). Output will have year, product_id & yoy_growth.
3. Write a SQL query to find the numbers which consecutively occurs 3 times. (Column name β id, numbers)
4. Write a SQL query to find the days when temperature was higher than its previous dates. (Column name β Days, Temp)
5. Write a SQL query to find the nth highest salary from the table emp. (Column name β id, salary)
SQL Relational Database Free Course Here: https://tinyurl.com/42nau8jx
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING ππ
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more πβ€οΈ
Hope it helps :)
1. Write a SQL query for cumulative sum of salary of each employee from Jan to July. (Column name β Emp_id, Month, Salary).
2. Write a SQL query to display year on year growth for each product. (Column name β transaction_id, Product_id, transaction_date, spend). Output will have year, product_id & yoy_growth.
3. Write a SQL query to find the numbers which consecutively occurs 3 times. (Column name β id, numbers)
4. Write a SQL query to find the days when temperature was higher than its previous dates. (Column name β Days, Temp)
5. Write a SQL query to find the nth highest salary from the table emp. (Column name β id, salary)
SQL Relational Database Free Course Here: https://tinyurl.com/42nau8jx
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING ππ
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more πβ€οΈ
Hope it helps :)
Python-CodeControl brightness with hands using Python ππ
Code Here https://t.me/pythonresourcestp/91?single
REMOTE JOBS
Remote Webflow & Wordpress Developer Job at The Sher Agency(Texas, USA)
https://kenyatrends.co.ke/so8e
Remote Senior Backend Software Developer Job at Missive(Quebec, Canada)
https://kenyatrends.co.ke/x8a6
Remote Online English Teacher Job at Native Camp (Japan)
https://kenyatrends.co.ke/nbcg
Remote Senior iOS Developer Job at Neybox Digital Ltd. (Limassol, Cyprus, EUROPE)
https://kenyatrends.co.ke/bs6u
Remote Golang Engineer Job at Canonical, United Kingdom(UK)
https://kenyatrends.co.ke/csjm
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Remote Webflow & Wordpress Developer Job at The Sher Agency(Texas, USA)
https://kenyatrends.co.ke/so8e
Remote Senior Backend Software Developer Job at Missive(Quebec, Canada)
https://kenyatrends.co.ke/x8a6
Remote Online English Teacher Job at Native Camp (Japan)
https://kenyatrends.co.ke/nbcg
Remote Senior iOS Developer Job at Neybox Digital Ltd. (Limassol, Cyprus, EUROPE)
https://kenyatrends.co.ke/bs6u
Remote Golang Engineer Job at Canonical, United Kingdom(UK)
https://kenyatrends.co.ke/csjm
#remotejobs
π°What is CTF? π°
CTF (Capture The Flag) is a kind of information security competition that challenges contestants to solve a variety of tasks ranging from a scavenger hunt on wikipedia to basic programming exercises, to hacking your way into a server to steal data. In these challenges, the contestant is usually asked to find a specific piece of text that may be hidden on the server or behind a webpage. This goal is called the flag, hence the name! Like many competitions, the skill level for CTFs varies between the events. Some are targeted towards professionals with experience operating on cyber security teams. These typically offer a large cash reward and can be held at a specific physical location.
How to Solve CTF: https://t.me/zerotrusthackers/76
CTF (Capture The Flag) is a kind of information security competition that challenges contestants to solve a variety of tasks ranging from a scavenger hunt on wikipedia to basic programming exercises, to hacking your way into a server to steal data. In these challenges, the contestant is usually asked to find a specific piece of text that may be hidden on the server or behind a webpage. This goal is called the flag, hence the name! Like many competitions, the skill level for CTFs varies between the events. Some are targeted towards professionals with experience operating on cyber security teams. These typically offer a large cash reward and can be held at a specific physical location.
How to Solve CTF: https://t.me/zerotrusthackers/76
π1
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
AI Tools for Content Research:
1. BuzzSumo
2. Ahrefs
3. SEMrush
4. Moz
5. Google Trends
6. Ubersuggest
7. Answer The Public
8. Social Animal
9. ContentStudio
10. Brand24
11. Mention
12. Feedly
13. Quora
14. Reddit
15. Trendspottr
16. BuzzStream
17. Sprout Social
18. Hootsuite Insights
19. Followerwonk
20. Nuzzel
60 AI tools to finish hours of work in minutes: https://t.me/airesourcestp/123
13 AI Tools to 10X your Productivity: https://t.me/airesourcestp/94
10 AI Tools to save you Hours: https://t.me/airesourcestp/102
40 Content Creation Tools: https://t.me/airesourcestp/109
ENJOY LEARNING ππ
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. BuzzSumo
2. Ahrefs
3. SEMrush
4. Moz
5. Google Trends
6. Ubersuggest
7. Answer The Public
8. Social Animal
9. ContentStudio
10. Brand24
11. Mention
12. Feedly
13. Quora
14. Reddit
15. Trendspottr
16. BuzzStream
17. Sprout Social
18. Hootsuite Insights
19. Followerwonk
20. Nuzzel
60 AI tools to finish hours of work in minutes: https://t.me/airesourcestp/123
13 AI Tools to 10X your Productivity: https://t.me/airesourcestp/94
10 AI Tools to save you Hours: https://t.me/airesourcestp/102
40 Content Creation Tools: https://t.me/airesourcestp/109
ENJOY LEARNING ππ
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
π― ππ₯ππ ππΌππΏππ²π π―π ππΌπΌπ΄πΉπ², π πΆπ°πΏπΌππΌπ³π & ππΆπ»πΈπ²π±ππ» ππ»
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Upskill with these amazing free courses from top platforms! π
1οΈβ£ Generative AI by Google: Dive into AI fundamentals and applications.
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Donβt miss this opportunity to elevate your expertise. π
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Best AI Tools for Job Seekers
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Python + AI Entrepreneurship Roadmap
Stage 1 β Identify AI Opportunity (Solve Real-World Problems)
Stage 2 β Build Python/AI Skills (ML, Deep Learning)
Stage 3 β Design AI Product (Prototyping with Flask/TensorFlow)
Stage 4 β Validate AI Model (Data Collection & Training)
Stage 5 β Build MVP (Deploy AI App)
Stage 6 β Secure Funding (Pitch to Investors)
Stage 7 β Marketing & Growth (AI-Driven Campaigns)
Stage 8 β Scale Product (Optimize & Automate)
Stage 1 β Identify AI Opportunity (Solve Real-World Problems)
Stage 2 β Build Python/AI Skills (ML, Deep Learning)
Stage 3 β Design AI Product (Prototyping with Flask/TensorFlow)
Stage 4 β Validate AI Model (Data Collection & Training)
Stage 5 β Build MVP (Deploy AI App)
Stage 6 β Secure Funding (Pitch to Investors)
Stage 7 β Marketing & Growth (AI-Driven Campaigns)
Stage 8 β Scale Product (Optimize & Automate)