kc-tung-tensorflow-2-pocket-reference-2021.pdf
15 MB
๐ Title: TensorFlow 2 Pocket Reference (2021)
zed-a-shaw-learn-python-3-the-hard-way-2017.pdf
5.3 MB
๐ Title: Learn Python 3 the Hard Way (2017)
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Complete Machine Learning Handwritten Notes.pdf
16 MB
๐ Complete Machine Learning Handwritten Notes ๐
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Planning for Data Science or Data Engineering Interview.
Focus on SQL & Python first. Here are some important questions which you should know.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
1- Find out nth Order/Salary from the tables.
2- Find the no of output records in each join from given Table 1 & Table 2
3- YOY,MOM Growth related questions.
4- Find out Employee ,Manager Hierarchy (Self join related question) or
Employees who are earning more than managers.
5- RANK,DENSERANK related questions
6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.)
7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN.
8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers.
9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure.
10-Identify and remove duplicate records from a table.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐ฒ๐ญ๐ก๐จ๐ง ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
1- Reversing a String using an Extended Slicing techniques.
2- Count Vowels from Given words .
3- Find the highest occurrences of each word from string and sort them in order.
4- Remove Duplicates from List.
5-Sort a List without using Sort keyword.
6-Find the pair of numbers in this list whose sum is n no.
7-Find the max and min no in the list without using inbuilt functions.
8-Calculate the Intersection of Two Lists without using Built-in Functions
9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response.
10-Implement a function to fetch data from a database table, perform data manipulation, and update the database.
Join for more: https://t.me/datasciencefun
ENJOY LEARNING ๐๐
Focus on SQL & Python first. Here are some important questions which you should know.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
1- Find out nth Order/Salary from the tables.
2- Find the no of output records in each join from given Table 1 & Table 2
3- YOY,MOM Growth related questions.
4- Find out Employee ,Manager Hierarchy (Self join related question) or
Employees who are earning more than managers.
5- RANK,DENSERANK related questions
6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.)
7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN.
8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers.
9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure.
10-Identify and remove duplicate records from a table.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐ฒ๐ญ๐ก๐จ๐ง ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
1- Reversing a String using an Extended Slicing techniques.
2- Count Vowels from Given words .
3- Find the highest occurrences of each word from string and sort them in order.
4- Remove Duplicates from List.
5-Sort a List without using Sort keyword.
6-Find the pair of numbers in this list whose sum is n no.
7-Find the max and min no in the list without using inbuilt functions.
8-Calculate the Intersection of Two Lists without using Built-in Functions
9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response.
10-Implement a function to fetch data from a database table, perform data manipulation, and update the database.
Join for more: https://t.me/datasciencefun
ENJOY LEARNING ๐๐
โค1
๐ Agentic AI is exploding, but which framework should you bet on?
If youโve tried building AI agents, you know the options are multiplying: LangGraph, LangChain, Autogen, CrewAI, Make.com, n8nโฆ but theyโre not interchangeable. Hereโs how to make sense of the chaos:
๐ฆ๐ ๐๐ฎ๐ป๐ด๐๐ฟ๐ฎ๐ฝ๐ต
Think enterprise-grade orchestration. Graph-based, stateful, long-running workflows with loops, branching, and persistent memory. Perfect when your agent system needs durability + complexity.
๐ฆ๐ LangChain
The OG. Great for chaining prompts, tools, and RAG. If you just need a chatbot, simple agent, or MVP, start here.
๐ฅ๐ฆ๐ฉ๐จ AutogenAI (Microsoft)
Built for multi-agent collaboration. If you want agents to negotiate, coordinate, and tackle big tasks together, this is your go-to.
๐ค CrewAI
Lightweight and flexible. Assemble โcrewsโ of role-specific agents quickly, while keeping granular control. Fast deployments, minimal dependencies.
๐ฅข Make
Visual, no-code automation for business users. Connect AI to CRMs, reports, SaaS toolsโwithout writing a single line of code.
๐ฃ๐๐ค n8n
Open-source, node-based automation. Great for RAG-powered workflows and deep data integrations with a visual touch.
๐ก Bottom line:
โช๏ธWant enterprise complexity? โ LangGraph
โช๏ธNeed fast AI app prototyping? โ LangChain
โช๏ธBuilding collaboratively? โ Autogen or CrewAI
โช๏ธPrefer drag-and-drop ? โ Make.com or n8n
The right choice depends on your workflow complexity, control needs, and dev resources. Agentic AI is not one-size-fits-all!
If youโve tried building AI agents, you know the options are multiplying: LangGraph, LangChain, Autogen, CrewAI, Make.com, n8nโฆ but theyโre not interchangeable. Hereโs how to make sense of the chaos:
๐ฆ๐ ๐๐ฎ๐ป๐ด๐๐ฟ๐ฎ๐ฝ๐ต
Think enterprise-grade orchestration. Graph-based, stateful, long-running workflows with loops, branching, and persistent memory. Perfect when your agent system needs durability + complexity.
๐ฆ๐ LangChain
The OG. Great for chaining prompts, tools, and RAG. If you just need a chatbot, simple agent, or MVP, start here.
๐ฅ๐ฆ๐ฉ๐จ AutogenAI (Microsoft)
Built for multi-agent collaboration. If you want agents to negotiate, coordinate, and tackle big tasks together, this is your go-to.
๐ค CrewAI
Lightweight and flexible. Assemble โcrewsโ of role-specific agents quickly, while keeping granular control. Fast deployments, minimal dependencies.
๐ฅข Make
Visual, no-code automation for business users. Connect AI to CRMs, reports, SaaS toolsโwithout writing a single line of code.
๐ฃ๐๐ค n8n
Open-source, node-based automation. Great for RAG-powered workflows and deep data integrations with a visual touch.
๐ก Bottom line:
โช๏ธWant enterprise complexity? โ LangGraph
โช๏ธNeed fast AI app prototyping? โ LangChain
โช๏ธBuilding collaboratively? โ Autogen or CrewAI
โช๏ธPrefer drag-and-drop ? โ Make.com or n8n
The right choice depends on your workflow complexity, control needs, and dev resources. Agentic AI is not one-size-fits-all!
โค2๐1
Harvard University just released free online courses.
No payment is required ๐
1. Introduction to CS50 programming using Scratch :
https://t.co/L1wbhAocmV
2. Data Science: Machine Learning:
https://t.co/o2knJrIVe4
3. CS50 Introduction to Computer Science for Business Professionals:
https://t.co/k6uwSb3Nsd
4. Introduction to data science with Python:
https://t.co/UuyRkUJSYV
5. CS50 course to understand technology :
https://t.co/CsWW1vn3b0
6. Explore the basics of Python in Harvardโs CS50 course :
https://t.co/dvgQN7axop
7. Introduction to Development Learn practical lessons in developing 2D and 3D interactive games:
https://t.co/rKPpbgFRJZ
8. Web programming using Python and JavaScript :
https://t.co/W4XZH0BvEL
9. Use React Native for mobile app development :
https://t.co/ZVqk56N0lV
10. Introduction to artificial intelligence in CS50 using Python :
https://t.co/8zWHvi5kry
11. Introduction to computer science :
https://t.co/UI3AKLP3pu
12. Artificial Intelligence in Business:
https://t.co/irFfEstg0P
No payment is required ๐
1. Introduction to CS50 programming using Scratch :
https://t.co/L1wbhAocmV
2. Data Science: Machine Learning:
https://t.co/o2knJrIVe4
3. CS50 Introduction to Computer Science for Business Professionals:
https://t.co/k6uwSb3Nsd
4. Introduction to data science with Python:
https://t.co/UuyRkUJSYV
5. CS50 course to understand technology :
https://t.co/CsWW1vn3b0
6. Explore the basics of Python in Harvardโs CS50 course :
https://t.co/dvgQN7axop
7. Introduction to Development Learn practical lessons in developing 2D and 3D interactive games:
https://t.co/rKPpbgFRJZ
8. Web programming using Python and JavaScript :
https://t.co/W4XZH0BvEL
9. Use React Native for mobile app development :
https://t.co/ZVqk56N0lV
10. Introduction to artificial intelligence in CS50 using Python :
https://t.co/8zWHvi5kry
11. Introduction to computer science :
https://t.co/UI3AKLP3pu
12. Artificial Intelligence in Business:
https://t.co/irFfEstg0P
โค3
Here is an A-Z list of essential programming terms:
1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations.
2. Boolean: A data type that represents true or false values.
3. Conditional Statement: A statement that executes different code based on a condition.
4. Debugging: The process of identifying and fixing errors or bugs in a program.
5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions.
6. Function: A block of code that performs a specific task and can be called multiple times in a program.
7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus.
8. HTML (Hypertext Markup Language): The standard markup language used to create web pages.
9. Integer: A data type that represents whole numbers without any fractional part.
10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application.
11. Loop: A programming construct that allows repeating a block of code multiple times.
12. Method: A function that is associated with an object in object-oriented programming.
13. Null: A special value that represents the absence of a value.
14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior.
15. Pointer: A variable that stores the memory address of another variable.
16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle.
17. Recursion: A programming technique where a function calls itself to solve a problem.
18. String: A data type that represents a sequence of characters.
19. Tuple: An ordered collection of elements, similar to an array but immutable.
20. Variable: A named storage location in memory that holds a value.
21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true.
Best Programming Resources: https://topmate.io/coding/898340
Join for more: https://t.me/programming_guide
ENJOY LEARNING ๐๐
1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations.
2. Boolean: A data type that represents true or false values.
3. Conditional Statement: A statement that executes different code based on a condition.
4. Debugging: The process of identifying and fixing errors or bugs in a program.
5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions.
6. Function: A block of code that performs a specific task and can be called multiple times in a program.
7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus.
8. HTML (Hypertext Markup Language): The standard markup language used to create web pages.
9. Integer: A data type that represents whole numbers without any fractional part.
10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application.
11. Loop: A programming construct that allows repeating a block of code multiple times.
12. Method: A function that is associated with an object in object-oriented programming.
13. Null: A special value that represents the absence of a value.
14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior.
15. Pointer: A variable that stores the memory address of another variable.
16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle.
17. Recursion: A programming technique where a function calls itself to solve a problem.
18. String: A data type that represents a sequence of characters.
19. Tuple: An ordered collection of elements, similar to an array but immutable.
20. Variable: A named storage location in memory that holds a value.
21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true.
Best Programming Resources: https://topmate.io/coding/898340
Join for more: https://t.me/programming_guide
ENJOY LEARNING ๐๐
โค5๐2
10 Simple Habits to Improve Your Coding Skills ๐ง ๐ป
๐ฅ Practice regularly, not just when you're stuck
๐ฅ Build small projects to apply what you learn
๐ฅ Review and refactor your old code
๐ฅ Join coding communities or forums
๐ฅ Follow coding channels and blogs
๐ฅ Take part in coding challenges (e.g., LeetCode, HackerRank)
๐ฅ Keep a code journal or notes
๐ฅ Learn version control (Git is your friend!)
๐ฅ Teach someone else โ it deepens your understanding
๐ฅ Stay curious & never stop learning
๐ฌ React "โค๏ธ" for more!
๐ฅ Practice regularly, not just when you're stuck
๐ฅ Build small projects to apply what you learn
๐ฅ Review and refactor your old code
๐ฅ Join coding communities or forums
๐ฅ Follow coding channels and blogs
๐ฅ Take part in coding challenges (e.g., LeetCode, HackerRank)
๐ฅ Keep a code journal or notes
๐ฅ Learn version control (Git is your friend!)
๐ฅ Teach someone else โ it deepens your understanding
๐ฅ Stay curious & never stop learning
๐ฌ React "โค๏ธ" for more!
โค11๐ฅ2
โ
AI Career Paths & Skills to Master ๐ค๐๐ผ
๐น 1๏ธโฃ Machine Learning Engineer
๐ง Role: Build & deploy ML models
๐ง Skills: Python, TensorFlow/PyTorch, Data Structures, SQL, Cloud (AWS/GCP)
๐น 2๏ธโฃ Data Scientist
๐ง Role: Analyze data & create predictive models
๐ง Skills: Statistics, Python/R, Pandas, NumPy, Data Viz, ML
๐น 3๏ธโฃ NLP Engineer
๐ง Role: Chatbots, text analysis, speech recognition
๐ง Skills: spaCy, Hugging Face, Transformers, Linguistics basics
๐น 4๏ธโฃ Computer Vision Engineer
๐ง Role: Image/video processing, facial recognition, AR/VR
๐ง Skills: OpenCV, YOLO, CNNs, Deep Learning
๐น 5๏ธโฃ AI Product Manager
๐ง Role: Oversee AI product strategy & development
๐ง Skills: Product Mgmt, Business Strategy, Data Analysis, Basic ML
๐น 6๏ธโฃ Robotics Engineer
๐ง Role: Design & program industrial robots
๐ง Skills: ROS, Embedded Systems, C++, Path Planning
๐น 7๏ธโฃ AI Research Scientist
๐ง Role: Innovate new AI models & algorithms
๐ง Skills: Advanced Math, Deep Learning, RL, Research papers
๐น 8๏ธโฃ MLOps Engineer
๐ง Role: Deploy & manage ML models at scale
๐ง Skills: Docker, Kubernetes, MLflow, CI/CD, Cloud Platforms
๐ก Pro Tip: Start with Python & math, then specialize!
๐ Tap โค๏ธ for more!
๐น 1๏ธโฃ Machine Learning Engineer
๐ง Role: Build & deploy ML models
๐ง Skills: Python, TensorFlow/PyTorch, Data Structures, SQL, Cloud (AWS/GCP)
๐น 2๏ธโฃ Data Scientist
๐ง Role: Analyze data & create predictive models
๐ง Skills: Statistics, Python/R, Pandas, NumPy, Data Viz, ML
๐น 3๏ธโฃ NLP Engineer
๐ง Role: Chatbots, text analysis, speech recognition
๐ง Skills: spaCy, Hugging Face, Transformers, Linguistics basics
๐น 4๏ธโฃ Computer Vision Engineer
๐ง Role: Image/video processing, facial recognition, AR/VR
๐ง Skills: OpenCV, YOLO, CNNs, Deep Learning
๐น 5๏ธโฃ AI Product Manager
๐ง Role: Oversee AI product strategy & development
๐ง Skills: Product Mgmt, Business Strategy, Data Analysis, Basic ML
๐น 6๏ธโฃ Robotics Engineer
๐ง Role: Design & program industrial robots
๐ง Skills: ROS, Embedded Systems, C++, Path Planning
๐น 7๏ธโฃ AI Research Scientist
๐ง Role: Innovate new AI models & algorithms
๐ง Skills: Advanced Math, Deep Learning, RL, Research papers
๐น 8๏ธโฃ MLOps Engineer
๐ง Role: Deploy & manage ML models at scale
๐ง Skills: Docker, Kubernetes, MLflow, CI/CD, Cloud Platforms
๐ก Pro Tip: Start with Python & math, then specialize!
๐ Tap โค๏ธ for more!
โค5