Interviewer: "What do you know about our company?"
Candidate: "I think you do something related to tech?"
Big mistake! A vague or uncertain response makes you look unprepared & disinterested. Employers want to see that you’ve taken the time to understand their company & why you’d be a great fit.
What NOT to say:
❌ "I don’t know much, but I’m eager to learn" (shows a lack of preparation)
❌ "I just saw the job posting & applied" (feels random & unintentional)
❌ "It’s a big company, so I thought it’d be a good opportunity" (too generic & uninformed)
How to IMPRESS with your answer:
✔️ Shows research & enthusiasm
"Your company is a leader in [industry/product/service] & I was excited to learn about your recent [mention an achievement, innovation or project]. I really admire your commitment to [company value or mission] & that’s one of the reasons I’m drawn to this opportunity"
✔️ Demonstrates genuine interest
"From what I’ve read, your company stands out for [unique aspect: innovation, company culture, impact]. One thing that caught my attention was [specific initiative or milestone] & I’d love the opportunity to contribute to something similar"
✔️ Aligns your goals with the company’s vision
"I’ve been following your company’s growth & I truly respect how you [mention key values, industry influence, sustainability efforts, etc.]. The way you [specific company approach] aligns with my own professional goals & I’m excited about the potential to be part of your team"
Take a few minutes to research before your interview, check their website, social media, recent news & LinkedIn updates. A well-prepared candidate always stands out!
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Candidate: "I think you do something related to tech?"
Big mistake! A vague or uncertain response makes you look unprepared & disinterested. Employers want to see that you’ve taken the time to understand their company & why you’d be a great fit.
What NOT to say:
❌ "I don’t know much, but I’m eager to learn" (shows a lack of preparation)
❌ "I just saw the job posting & applied" (feels random & unintentional)
❌ "It’s a big company, so I thought it’d be a good opportunity" (too generic & uninformed)
How to IMPRESS with your answer:
✔️ Shows research & enthusiasm
"Your company is a leader in [industry/product/service] & I was excited to learn about your recent [mention an achievement, innovation or project]. I really admire your commitment to [company value or mission] & that’s one of the reasons I’m drawn to this opportunity"
✔️ Demonstrates genuine interest
"From what I’ve read, your company stands out for [unique aspect: innovation, company culture, impact]. One thing that caught my attention was [specific initiative or milestone] & I’d love the opportunity to contribute to something similar"
✔️ Aligns your goals with the company’s vision
"I’ve been following your company’s growth & I truly respect how you [mention key values, industry influence, sustainability efforts, etc.]. The way you [specific company approach] aligns with my own professional goals & I’m excited about the potential to be part of your team"
Take a few minutes to research before your interview, check their website, social media, recent news & LinkedIn updates. A well-prepared candidate always stands out!
Need a CV that actually gets seen (and gets you interviews)?
Reach out to us today for CV Services.
https://wa.me/+254781819388?text=Resume%20Services
for express CV makeover!
Join Our WhatsApp Channel for Job Opportunities & CV Tips
https://whatsapp.com/channel/0029VageofA3GJP3bu7Wyd37
Famous Programming Languages and Their Frameworks
1.Python:
Frameworks:
* Django
* Flask
* Pyramid
* Tornado
2.JavaScript:
Frameworks (Front-End):
* React
* Angular
* Vue.js
* Ember.js
_and thousands more...._
Frameworks (Back-End):
* Node.js (Runtime)
* Express.js
* Nest.js
* Meteor
3..Java:
Frameworks:
* Spring Framework
* Hibernate
* Apache Struts
* Play Framework
4.Ruby:
Frameworks:
* Ruby on Rails (Rails)
* Sinatra
* Hanami
5.PHP:
Frameworks:
* Laravel
* Symfony
* CodeIgniter
* Yii
* Zend Framework
6.C#:
Frameworks:
* .NET Framework
* ASP. NET
* ASP. NET Core
7.Go (Golang):
Frameworks:
* Gin
* Echo
* Revel
8.Rust:
Frameworks:
* Rocket
* Actix
* Warp
9.Swift:
Frameworks (iOS/macOS):
* SwiftUI
* UIKit
* Cocoa Touch
10.Kotlin:
Frameworks (Android):
* Android Jetpack
* Ktor
11.TypeScript:
Frameworks (Front-End):
* Angular
* Vue.js (with TypeScript)
* React (with TypeScript)
12.Scala:
Frameworks:
* Play Framework
* Akka
13.Perl:
Frameworks:
* Dancer
* Catalyst
14.Lua:
Frameworks:
* OpenResty (for web development)
15.Dart:
Frameworks:
* Flutter (for mobile app development)
16.R:
Frameworks (for data science and statistics):
* Shiny
* ggplot2
17.Julia:
Frameworks (for scientific computing):
* Pluto.jl
* Genie.jl
18.MATLAB:
Frameworks (for scientific and engineering applications):
* Simulink
19.COBOL:
Frameworks:
* COBOL-IT
20.Erlang:
Frameworks:
* Phoenix (for web applications)
21.Groovy:
Frameworks:
* Grails (for web applications)
Best Programming Resources: https://topmate.io/learning_resources/1362011
ENJOY LEARNING 👍👍
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1.Python:
Frameworks:
* Django
* Flask
* Pyramid
* Tornado
2.JavaScript:
Frameworks (Front-End):
* React
* Angular
* Vue.js
* Ember.js
_and thousands more...._
Frameworks (Back-End):
* Node.js (Runtime)
* Express.js
* Nest.js
* Meteor
3..Java:
Frameworks:
* Spring Framework
* Hibernate
* Apache Struts
* Play Framework
4.Ruby:
Frameworks:
* Ruby on Rails (Rails)
* Sinatra
* Hanami
5.PHP:
Frameworks:
* Laravel
* Symfony
* CodeIgniter
* Yii
* Zend Framework
6.C#:
Frameworks:
* .NET Framework
* ASP. NET
* ASP. NET Core
7.Go (Golang):
Frameworks:
* Gin
* Echo
* Revel
8.Rust:
Frameworks:
* Rocket
* Actix
* Warp
9.Swift:
Frameworks (iOS/macOS):
* SwiftUI
* UIKit
* Cocoa Touch
10.Kotlin:
Frameworks (Android):
* Android Jetpack
* Ktor
11.TypeScript:
Frameworks (Front-End):
* Angular
* Vue.js (with TypeScript)
* React (with TypeScript)
12.Scala:
Frameworks:
* Play Framework
* Akka
13.Perl:
Frameworks:
* Dancer
* Catalyst
14.Lua:
Frameworks:
* OpenResty (for web development)
15.Dart:
Frameworks:
* Flutter (for mobile app development)
16.R:
Frameworks (for data science and statistics):
* Shiny
* ggplot2
17.Julia:
Frameworks (for scientific computing):
* Pluto.jl
* Genie.jl
18.MATLAB:
Frameworks (for scientific and engineering applications):
* Simulink
19.COBOL:
Frameworks:
* COBOL-IT
20.Erlang:
Frameworks:
* Phoenix (for web applications)
21.Groovy:
Frameworks:
* Grails (for web applications)
Best Programming Resources: https://topmate.io/learning_resources/1362011
ENJOY LEARNING 👍👍
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
👍1
❇️ What is password salting ?
Password salting is a technique to protect passwords stored in databases by adding a string of 32 or more characters and then hashing them. Salting prevents hackers who breach an enterprise environment from reverse-engineering passwords and stealing them from the database.
Password salting increases password complexity, making them unique and secure without affecting user experience. It also helps prevent hash table attacks and slows down brute-force and dictionary attacks.
❇️ Password hashing and why salting is required
Hashing prevents passwords from being exposed or stolen by threat actors, since they are not stored as plaintext. For example, when users create an account with a username and password on a website, their password is hashed and stored in an internal file system in an encrypted form.
When users log in, the password runs through a one-way hashing algorithm that converts the password into a different and unrecognizable string of characters. During login, this string is compared to the other hashes stored in the website's database. If the credentials match the stored hash, users can access the account. If it doesn't match, hash verification fails, and users are not able to log in.
Share and Support
Honeypot Explained: https://t.me/zerotrusthackers/16
OTP Tokens: https://t.me/zerotrusthackers/42
WhatsApp Channel👇
https://whatsapp.com/channel/0029VaxVv551iUxRku094918
Password salting is a technique to protect passwords stored in databases by adding a string of 32 or more characters and then hashing them. Salting prevents hackers who breach an enterprise environment from reverse-engineering passwords and stealing them from the database.
Password salting increases password complexity, making them unique and secure without affecting user experience. It also helps prevent hash table attacks and slows down brute-force and dictionary attacks.
❇️ Password hashing and why salting is required
Hashing prevents passwords from being exposed or stolen by threat actors, since they are not stored as plaintext. For example, when users create an account with a username and password on a website, their password is hashed and stored in an internal file system in an encrypted form.
When users log in, the password runs through a one-way hashing algorithm that converts the password into a different and unrecognizable string of characters. During login, this string is compared to the other hashes stored in the website's database. If the credentials match the stored hash, users can access the account. If it doesn't match, hash verification fails, and users are not able to log in.
Share and Support
Honeypot Explained: https://t.me/zerotrusthackers/16
OTP Tokens: https://t.me/zerotrusthackers/42
WhatsApp Channel👇
https://whatsapp.com/channel/0029VaxVv551iUxRku094918
What are the signs of a bearish trend in the crypto market?
Signs of a bearish trend in the crypto market include declining prices, lower highs, and lower lows on the price chart. Analyzing moving averages, increasing trading volume, and bearish indicators like the Relative Strength Index (RSI) can further support the identification of a bearish trend. It's essential to use a combination of technical analysis tools and stay informed about market news for a well-rounded assessment.
Cryptocurrency Investing: https://t.me/techpsyche/723
Liquidity: https://t.me/techpsyche/712
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance
Signs of a bearish trend in the crypto market include declining prices, lower highs, and lower lows on the price chart. Analyzing moving averages, increasing trading volume, and bearish indicators like the Relative Strength Index (RSI) can further support the identification of a bearish trend. It's essential to use a combination of technical analysis tools and stay informed about market news for a well-rounded assessment.
Cryptocurrency Investing: https://t.me/techpsyche/723
Liquidity: https://t.me/techpsyche/712
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance
Forwarded from SQL Resources TP
SQL Aggregate Functions
Forwarded from Python Resources TP
Official Python Docs
https://docs.python.org/3/
Tools:
http://docs.python-guide.org/en/latest/dev/virtualenvs/
http://www.pythonforbeginners.com/basics/python-pip-usage
Practice:
http://www.practicepython.org/
https://www.hackerrank.com
https://wiki.python.org/moin/PythonDecorators
Python GUI FAQ
https://docs.python.org/3/faq/gui.html
Python Projects
https://t.me/pythonresourcestp/36
WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
https://docs.python.org/3/
Tools:
http://docs.python-guide.org/en/latest/dev/virtualenvs/
http://www.pythonforbeginners.com/basics/python-pip-usage
Practice:
http://www.practicepython.org/
https://www.hackerrank.com
https://wiki.python.org/moin/PythonDecorators
Python GUI FAQ
https://docs.python.org/3/faq/gui.html
Python Projects
https://t.me/pythonresourcestp/36
WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
💫🌈🧑💻👩💻⚛️Free Full Stack Certifications Courses to try in 2025
🔸HTML, CSS
https://freecodecamp.org/learn/2022/responsive-web-design
http://cs50.harvard.edu/web/
🔸Full Stack Development Roadmap
https://t.me/webdevresourcestp/35
🔸Java
https://data-flair.training/courses/free-java-course/
https://t.me/javaresourcestp/26
http://learn.microsoft.com/shows/java-for-beginners/
🔸 JavaScript Roadmap
https://t.me/javascriptresourcestp/440
🔸Neo4j
https://graphacademy.neo4j.com/courses/neo4j-certification/
🔸React
https://hackerrank.com/skills-verification/react_basic
🔸Angular
https://hackerrank.com/skills-verification/angular_intermediate
ENJOY LEARNING 👍👍
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
🔸HTML, CSS
https://freecodecamp.org/learn/2022/responsive-web-design
http://cs50.harvard.edu/web/
🔸Full Stack Development Roadmap
https://t.me/webdevresourcestp/35
🔸Java
https://data-flair.training/courses/free-java-course/
https://t.me/javaresourcestp/26
http://learn.microsoft.com/shows/java-for-beginners/
🔸 JavaScript Roadmap
https://t.me/javascriptresourcestp/440
🔸Neo4j
https://graphacademy.neo4j.com/courses/neo4j-certification/
🔸React
https://hackerrank.com/skills-verification/react_basic
🔸Angular
https://hackerrank.com/skills-verification/angular_intermediate
ENJOY LEARNING 👍👍
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
👍1
𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬!🚀💻
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- Earn certifications to showcase your skills
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5 SQL Queries Every Data Engineer Must Master (with Examples)
SQL has been the backbone of #DataEngineering for years. Whether you’re building pipelines, optimizing databases, or troubleshooting, mastering these concepts is crucial:
🔹 1️⃣ Aggregation and Grouping
Efficiently summarize and analyze data with key functions like SUM, COUNT, AVG, MIN, MAX, and GROUP BY.
🔹 2️⃣ Window Functions
Perform advanced analytics like rankings, running totals, and comparisons while preserving row-level detail. Learn functions like ROW_NUMBER, RANK, NTILE, LAG, LEAD, and windowed SUM.
🔹 3️⃣ Join Operations
Combine data from multiple tables using INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, and CROSS JOIN.
🔹 4️⃣ Subqueries and CTEs
Simplify complex queries with WITH statements, or use subqueries in SELECT, FROM, and WHERE clauses to enhance readability and performance.
🔹 5️⃣ Data Cleaning and Transformation
Prepare your data with functions like DISTINCT, LOWER, UPPER, TRIM, REGEXP_REPLACE, and COALESCE to ensure high-quality outputs.
Data Engineering Interview Preparation Resources: https://t.me/datascienceresourcestp/61
Learn SQL: https://t.me/sqlresourcestp
All the best 👍👍
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
SQL has been the backbone of #DataEngineering for years. Whether you’re building pipelines, optimizing databases, or troubleshooting, mastering these concepts is crucial:
🔹 1️⃣ Aggregation and Grouping
Efficiently summarize and analyze data with key functions like SUM, COUNT, AVG, MIN, MAX, and GROUP BY.
🔹 2️⃣ Window Functions
Perform advanced analytics like rankings, running totals, and comparisons while preserving row-level detail. Learn functions like ROW_NUMBER, RANK, NTILE, LAG, LEAD, and windowed SUM.
🔹 3️⃣ Join Operations
Combine data from multiple tables using INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, and CROSS JOIN.
🔹 4️⃣ Subqueries and CTEs
Simplify complex queries with WITH statements, or use subqueries in SELECT, FROM, and WHERE clauses to enhance readability and performance.
🔹 5️⃣ Data Cleaning and Transformation
Prepare your data with functions like DISTINCT, LOWER, UPPER, TRIM, REGEXP_REPLACE, and COALESCE to ensure high-quality outputs.
Data Engineering Interview Preparation Resources: https://t.me/datascienceresourcestp/61
Learn SQL: https://t.me/sqlresourcestp
All the best 👍👍
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R