PYTHON CHEAT SHEET ā Save This!
Most Asked Python in Tech Interviews!
====================================
Python is #1 language for AI, Data Science,
Backend & Automation roles. Master this!
====================================
DATA TYPES & BASICS
x = 10 # int
y = 3.14 # float
s = 'hello' # string
b = True # boolean
l = [1,2,3] # list (mutable)
t = (1,2,3) # tuple (immutable)
d = {'a': 1} # dictionary
st = {1,2,3} # set (unique values)
====================================
STRINGS ā Most Asked!
s = 'Hello World'
s.upper() # 'HELLO WORLD'
s.lower() # 'hello world'
s.split(' ') # ['Hello', 'World']
s.replace('o','0') # 'Hell0 W0rld'
s.strip() # remove whitespace
len(s) # 11
s[0:5] # 'Hello' (slicing)
s[::-1] # reverse string!
f'Name: {s}' # f-string formatting
====================================
LIST OPERATIONS
l = [3, 1, 4, 1, 5]
l.append(9) # add to end
l.insert(0, 7) # insert at index 0
l.remove(1) # remove first '1'
l.pop() # remove last element
l.sort() # sort in place
sorted(l) # returns new sorted list
l.reverse() # reverse in place
len(l) # length of list
sum(l) # sum of all elements
max(l), min(l) # max and min value
====================================
LIST COMPREHENSION ā Interviewers Love!
squares = [x**2 for x in range(10)]
# [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
evens = [x for x in range(20) if x%2==0]
# [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]
====================================
DICTIONARY TRICKS
d = {'name': 'Rahul', 'age': 22}
d['name'] # 'Rahul'
d.get('city', 'N/A') # safe get
d.keys() # all keys
d.values() # all values
d.items() # key-value pairs
d.update({'city': 'Delhi'}) # add/update
====================================
FUNCTIONS & LAMBDA
def add(a, b):
return a + b
# Lambda (one-line function)
square = lambda x: x**2
square(5) # 25
# *args and **kwargs
def greet(*names):
for name in names:
print(f'Hi {name}')
====================================
MUST-KNOW PYTHON CONCEPTS:
List vs Tuple -> mutable vs immutable
Deep vs Shallow copy -> copy.deepcopy()
Global vs Local -> variable scope
try/except -> error handling
with open() -> file handling
OOP: class, __init__, self, inheritance
====================================
TOP 5 PYTHON INTERVIEW QUESTIONS:
1. Difference: list vs tuple vs set vs dict?
2. What is a lambda function?
3. How does Python handle memory management?
4. What are decorators in Python?
5. Difference: deep copy vs shallow copy?
====================================
PRACTICE FREE ON:
HackerRank -> hackerrank.com/domains/python
LeetCode -> leetcode.com
W3Schools -> w3schools.com/python
====================================
Save this before your next interview!
Get FREE Python projects with source code:
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#PythonCheatSheet #Python #PythonInterview
#DataScience #MachineLearning #PythonDeveloper
#BTech2026 #MCA2026 #BCA2026 #PlacementPrep
#CodingInterview #TechInterview #LearnPython
#ProjectWithSourceCodes #StudentsOfIndia
Most Asked Python in Tech Interviews!
====================================
Python is #1 language for AI, Data Science,
Backend & Automation roles. Master this!
====================================
DATA TYPES & BASICS
x = 10 # int
y = 3.14 # float
s = 'hello' # string
b = True # boolean
l = [1,2,3] # list (mutable)
t = (1,2,3) # tuple (immutable)
d = {'a': 1} # dictionary
st = {1,2,3} # set (unique values)
====================================
STRINGS ā Most Asked!
s = 'Hello World'
s.upper() # 'HELLO WORLD'
s.lower() # 'hello world'
s.split(' ') # ['Hello', 'World']
s.replace('o','0') # 'Hell0 W0rld'
s.strip() # remove whitespace
len(s) # 11
s[0:5] # 'Hello' (slicing)
s[::-1] # reverse string!
f'Name: {s}' # f-string formatting
====================================
LIST OPERATIONS
l = [3, 1, 4, 1, 5]
l.append(9) # add to end
l.insert(0, 7) # insert at index 0
l.remove(1) # remove first '1'
l.pop() # remove last element
l.sort() # sort in place
sorted(l) # returns new sorted list
l.reverse() # reverse in place
len(l) # length of list
sum(l) # sum of all elements
max(l), min(l) # max and min value
====================================
LIST COMPREHENSION ā Interviewers Love!
squares = [x**2 for x in range(10)]
# [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
evens = [x for x in range(20) if x%2==0]
# [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]
====================================
DICTIONARY TRICKS
d = {'name': 'Rahul', 'age': 22}
d['name'] # 'Rahul'
d.get('city', 'N/A') # safe get
d.keys() # all keys
d.values() # all values
d.items() # key-value pairs
d.update({'city': 'Delhi'}) # add/update
====================================
FUNCTIONS & LAMBDA
def add(a, b):
return a + b
# Lambda (one-line function)
square = lambda x: x**2
square(5) # 25
# *args and **kwargs
def greet(*names):
for name in names:
print(f'Hi {name}')
====================================
MUST-KNOW PYTHON CONCEPTS:
List vs Tuple -> mutable vs immutable
Deep vs Shallow copy -> copy.deepcopy()
Global vs Local -> variable scope
try/except -> error handling
with open() -> file handling
OOP: class, __init__, self, inheritance
====================================
TOP 5 PYTHON INTERVIEW QUESTIONS:
1. Difference: list vs tuple vs set vs dict?
2. What is a lambda function?
3. How does Python handle memory management?
4. What are decorators in Python?
5. Difference: deep copy vs shallow copy?
====================================
PRACTICE FREE ON:
HackerRank -> hackerrank.com/domains/python
LeetCode -> leetcode.com
W3Schools -> w3schools.com/python
====================================
Save this before your next interview!
Get FREE Python projects with source code:
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#PythonCheatSheet #Python #PythonInterview
#DataScience #MachineLearning #PythonDeveloper
#BTech2026 #MCA2026 #BCA2026 #PlacementPrep
#CodingInterview #TechInterview #LearnPython
#ProjectWithSourceCodes #StudentsOfIndia
HackerRank
Solve Programming Questions | HackerRank
A step by step guide to Python, a language that is easy to pick up yet one of the most powerful.
DSA CHEAT SHEET ā Save This!
Data Structures Asked in Every Interview!
====================================
DSA is tested in ALL product company interviews!
Amazon, Google, Microsoft, Flipkart, Adobe ā
ALL start with DSA rounds. Master this!
====================================
ARRAYS ā Most Basic, Most Asked!
Find max/min in array -> O(n) linear scan
Reverse an array -> two pointer approach
Find duplicates -> use HashSet O(n)
Rotate array by k -> reverse technique
Two Sum problem -> HashMap O(n)
Sliding Window -> for subarray problems
====================================
STRINGS
Palindrome check -> two pointers
Anagram check -> sort both or HashMap
Longest common prefix -> vertical scan
Count vowels/consonants -> loop + set
String reversal -> s[::-1] in Python
====================================
LINKED LIST ā Very Frequently Asked!
Reverse a linked list -> 3 pointer trick
Detect cycle -> Floyd's algo (slow/fast)
Find middle node -> slow/fast pointers
Merge 2 sorted lists -> compare & merge
Remove Nth node from end -> two pass
====================================
STACK & QUEUE
Stack: LIFO ā use for:
-> Valid parentheses check
-> Next Greater Element
-> Undo/Redo operations
Queue: FIFO ā use for:
-> BFS (level order traversal)
-> Sliding window maximum
====================================
TREES ā 30% of Interview Questions!
Inorder: Left -> Root -> Right
Preorder: Root -> Left -> Right
Postorder: Left -> Right -> Root
Level Order -> use Queue (BFS)
Height of tree -> recursion
Check BST -> inorder should be sorted
LCA of two nodes -> recursive approach
====================================
SORTING ALGORITHMS
Bubble Sort -> O(nĀ²) | Simple
Selection Sort -> O(nĀ²) | Simple
Insertion Sort -> O(nĀ²) | Best for small
Merge Sort -> O(nlogn) | Stable sort
Quick Sort -> O(nlogn) | In-place
For interviews: Know Merge Sort well!
====================================
SEARCHING
Linear Search -> O(n) | Unsorted array
Binary Search -> O(logn) | Sorted array only
Binary Search template:
low, high = 0, len(arr)-1
while low <= high:
mid = (low + high) // 2
if arr[mid] == target: return mid
elif arr[mid] < target: low = mid+1
else: high = mid-1
====================================
TIME COMPLEXITY QUICK REFERENCE:
O(1) -> Constant | Array index access
O(logn) -> Log | Binary search
O(n) -> Linear | Single loop
O(nlogn) -> Linearithmic | Merge sort
O(nĀ²) -> Quadratic | Nested loops
====================================
TOP DSA PLATFORMS TO PRACTICE:
LeetCode -> leetcode.com (must!)
HackerRank -> hackerrank.com
GeeksForGeeks -> geeksforgeeks.org
Codeforces -> codeforces.com
====================================
Save this post ā revise before every interview!
Get FREE projects with DSA implementation:
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#DSA #DataStructures #Algorithms #LeetCode
#CodingInterview #TechInterview #Placements
#BTech2026 #MCA2026 #BCA2026 #CompetitiveCoding
#Java #Python #DSACheatSheet #FAANG
#ProjectWithSourceCodes #StudentsOfIndia
Data Structures Asked in Every Interview!
====================================
DSA is tested in ALL product company interviews!
Amazon, Google, Microsoft, Flipkart, Adobe ā
ALL start with DSA rounds. Master this!
====================================
ARRAYS ā Most Basic, Most Asked!
Find max/min in array -> O(n) linear scan
Reverse an array -> two pointer approach
Find duplicates -> use HashSet O(n)
Rotate array by k -> reverse technique
Two Sum problem -> HashMap O(n)
Sliding Window -> for subarray problems
====================================
STRINGS
Palindrome check -> two pointers
Anagram check -> sort both or HashMap
Longest common prefix -> vertical scan
Count vowels/consonants -> loop + set
String reversal -> s[::-1] in Python
====================================
LINKED LIST ā Very Frequently Asked!
Reverse a linked list -> 3 pointer trick
Detect cycle -> Floyd's algo (slow/fast)
Find middle node -> slow/fast pointers
Merge 2 sorted lists -> compare & merge
Remove Nth node from end -> two pass
====================================
STACK & QUEUE
Stack: LIFO ā use for:
-> Valid parentheses check
-> Next Greater Element
-> Undo/Redo operations
Queue: FIFO ā use for:
-> BFS (level order traversal)
-> Sliding window maximum
====================================
TREES ā 30% of Interview Questions!
Inorder: Left -> Root -> Right
Preorder: Root -> Left -> Right
Postorder: Left -> Right -> Root
Level Order -> use Queue (BFS)
Height of tree -> recursion
Check BST -> inorder should be sorted
LCA of two nodes -> recursive approach
====================================
SORTING ALGORITHMS
Bubble Sort -> O(nĀ²) | Simple
Selection Sort -> O(nĀ²) | Simple
Insertion Sort -> O(nĀ²) | Best for small
Merge Sort -> O(nlogn) | Stable sort
Quick Sort -> O(nlogn) | In-place
For interviews: Know Merge Sort well!
====================================
SEARCHING
Linear Search -> O(n) | Unsorted array
Binary Search -> O(logn) | Sorted array only
Binary Search template:
low, high = 0, len(arr)-1
while low <= high:
mid = (low + high) // 2
if arr[mid] == target: return mid
elif arr[mid] < target: low = mid+1
else: high = mid-1
====================================
TIME COMPLEXITY QUICK REFERENCE:
O(1) -> Constant | Array index access
O(logn) -> Log | Binary search
O(n) -> Linear | Single loop
O(nlogn) -> Linearithmic | Merge sort
O(nĀ²) -> Quadratic | Nested loops
====================================
TOP DSA PLATFORMS TO PRACTICE:
LeetCode -> leetcode.com (must!)
HackerRank -> hackerrank.com
GeeksForGeeks -> geeksforgeeks.org
Codeforces -> codeforces.com
====================================
Save this post ā revise before every interview!
Get FREE projects with DSA implementation:
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#DSA #DataStructures #Algorithms #LeetCode
#CodingInterview #TechInterview #Placements
#BTech2026 #MCA2026 #BCA2026 #CompetitiveCoding
#Java #Python #DSACheatSheet #FAANG
#ProjectWithSourceCodes #StudentsOfIndia
Telegram
ProjectWithSourceCodes
Free Source Code Projects for Students š | Python | Java | Android | Web Dev | AI/ML | Final Year Projects | BCA ā¢ BTech ā¢ MCA | Interview Prep | Job Alerts
Website: https://updategadh.com
Website: https://updategadh.com
DSA CHEAT SHEET - Save This!
Data Structures Asked in Every Tech Interview!
====================================
DSA is tested at Amazon, Google, Microsoft,
Flipkart, Adobe, Uber, Swiggy ā ALL of them!
Master these before your placement rounds!
====================================
ARRAYS - Most Basic, Most Asked!
Two Sum -> HashMap O(n)
Find max/min -> linear scan O(n)
Reverse array -> two pointers O(n)
Find duplicates -> HashSet O(n)
Rotate by k -> reverse technique O(n)
Subarray sum -> sliding window O(n)
Merge sorted arrays -> two pointer O(n+m)
====================================
STRINGS
Palindrome check -> two pointers O(n)
Anagram check -> sort or HashMap O(n)
Longest substring no repeat -> sliding window
String reversal -> s[::-1] in Python
Count char frequency -> HashMap O(n)
====================================
LINKED LIST - Very Frequently Asked!
Reverse linked list -> 3 pointer trick O(n)
Detect cycle -> Floyd's slow/fast O(n)
Find middle -> slow/fast pointers O(n)
Merge 2 sorted lists -> compare & link O(n)
Remove Nth from end -> two pass O(n)
====================================
STACK & QUEUE
Stack (LIFO) - use for:
-> Valid parentheses {[()]}
-> Next Greater Element
-> Undo/Redo operations
Queue (FIFO) - use for:
-> BFS (level order tree traversal)
-> Sliding window maximum
====================================
TREES - 30% of Interview Questions!
Inorder: Left Root Right
Preorder: Root Left Right
Postorder: Left Right Root
Level Order: BFS using Queue
Height of tree -> recursion O(n)
Check BST valid -> inorder sorted check
Lowest Common Ancestor -> recursive O(n)
Path sum root to leaf -> DFS O(n)
====================================
GRAPHS
BFS -> Queue, shortest path unweighted
DFS -> Stack/Recursion, path finding
Detect cycle undirected -> Union Find
Detect cycle directed -> DFS + visited
Topological Sort -> Kahn's algo (BFS)
====================================
DYNAMIC PROGRAMMING
Fibonacci -> memoization O(n)
0/1 Knapsack -> 2D DP O(n*W)
Longest Common Subsequence -> 2D DP
Coin Change -> bottom-up DP O(n*amount)
Climb Stairs -> DP same as Fibonacci
====================================
TIME COMPLEXITY QUICK REFERENCE:
O(1) Constant | Array index
O(logn) Log | Binary search
O(n) Linear | Single loop
O(nlogn) Linearithmic | Merge sort
O(n2) Quadratic | Nested loops
O(2n) Exponential | Recursion tree
====================================
TOP DSA PRACTICE PLATFORMS:
LeetCode -> leetcode.com (must!)
GeeksForGeeks -> geeksforgeeks.org
HackerRank -> hackerrank.com
Codeforces -> codeforces.com
====================================
Save this - revise before every interview!
Get FREE projects with DSA implementations:
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#DSACheatSheet #DSA #DataStructures #Algorithms
#LeetCode #CodingInterview #Placements #FAANG
#BTech2026 #MCA2026 #BCA2026 #CompetitiveCoding
#Java #Python #TechInterview #DynamicProgramming
#ProjectWithSourceCodes #StudentsOfIndia
Data Structures Asked in Every Tech Interview!
====================================
DSA is tested at Amazon, Google, Microsoft,
Flipkart, Adobe, Uber, Swiggy ā ALL of them!
Master these before your placement rounds!
====================================
ARRAYS - Most Basic, Most Asked!
Two Sum -> HashMap O(n)
Find max/min -> linear scan O(n)
Reverse array -> two pointers O(n)
Find duplicates -> HashSet O(n)
Rotate by k -> reverse technique O(n)
Subarray sum -> sliding window O(n)
Merge sorted arrays -> two pointer O(n+m)
====================================
STRINGS
Palindrome check -> two pointers O(n)
Anagram check -> sort or HashMap O(n)
Longest substring no repeat -> sliding window
String reversal -> s[::-1] in Python
Count char frequency -> HashMap O(n)
====================================
LINKED LIST - Very Frequently Asked!
Reverse linked list -> 3 pointer trick O(n)
Detect cycle -> Floyd's slow/fast O(n)
Find middle -> slow/fast pointers O(n)
Merge 2 sorted lists -> compare & link O(n)
Remove Nth from end -> two pass O(n)
====================================
STACK & QUEUE
Stack (LIFO) - use for:
-> Valid parentheses {[()]}
-> Next Greater Element
-> Undo/Redo operations
Queue (FIFO) - use for:
-> BFS (level order tree traversal)
-> Sliding window maximum
====================================
TREES - 30% of Interview Questions!
Inorder: Left Root Right
Preorder: Root Left Right
Postorder: Left Right Root
Level Order: BFS using Queue
Height of tree -> recursion O(n)
Check BST valid -> inorder sorted check
Lowest Common Ancestor -> recursive O(n)
Path sum root to leaf -> DFS O(n)
====================================
GRAPHS
BFS -> Queue, shortest path unweighted
DFS -> Stack/Recursion, path finding
Detect cycle undirected -> Union Find
Detect cycle directed -> DFS + visited
Topological Sort -> Kahn's algo (BFS)
====================================
DYNAMIC PROGRAMMING
Fibonacci -> memoization O(n)
0/1 Knapsack -> 2D DP O(n*W)
Longest Common Subsequence -> 2D DP
Coin Change -> bottom-up DP O(n*amount)
Climb Stairs -> DP same as Fibonacci
====================================
TIME COMPLEXITY QUICK REFERENCE:
O(1) Constant | Array index
O(logn) Log | Binary search
O(n) Linear | Single loop
O(nlogn) Linearithmic | Merge sort
O(n2) Quadratic | Nested loops
O(2n) Exponential | Recursion tree
====================================
TOP DSA PRACTICE PLATFORMS:
LeetCode -> leetcode.com (must!)
GeeksForGeeks -> geeksforgeeks.org
HackerRank -> hackerrank.com
Codeforces -> codeforces.com
====================================
Save this - revise before every interview!
Get FREE projects with DSA implementations:
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#DSACheatSheet #DSA #DataStructures #Algorithms
#LeetCode #CodingInterview #Placements #FAANG
#BTech2026 #MCA2026 #BCA2026 #CompetitiveCoding
#Java #Python #TechInterview #DynamicProgramming
#ProjectWithSourceCodes #StudentsOfIndia
Telegram
ProjectWithSourceCodes
Free Source Code Projects for Students š | Python | Java | Android | Web Dev | AI/ML | Final Year Projects | BCA ā¢ BTech ā¢ MCA | Interview Prep | Job Alerts
Website: https://updategadh.com
Website: https://updategadh.com
TOP 10 AI PROJECTS ON GITHUB - 2026
Direct GitHub Links - Star & Learn!
====================================
1. Stable Diffusion WebUI
Generate AI images on your own PC (150K+ stars!)
https://github.com/AUTOMATIC1111/stable-diffusion-webui
2. LangChain
Build ChatGPT-style apps + RAG systems
https://github.com/langchain-ai/langchain
3. OpenAI Whisper
Speech-to-text AI - build subtitle/transcription apps
https://github.com/openai/whisper
4. Ultralytics YOLO
Real-time object detection - CV projects made easy
https://github.com/ultralytics/ultralytics
5. AutoGPT
Autonomous AI agents that complete tasks alone
https://github.com/Significant-Gravitas/AutoGPT
6. Ollama
Run LLaMA/Mistral AI models on YOUR laptop - free!
https://github.com/ollama/ollama
7. Hugging Face Transformers
1000s of ready AI models - NLP, vision, audio
https://github.com/huggingface/transformers
8. llama.cpp
Run big AI models on CPU - no GPU needed!
https://github.com/ggerganov/llama.cpp
9. Generative AI for Beginners (Microsoft)
FREE 21-lesson course - learn GenAI from zero
https://github.com/microsoft/generative-ai-for-beginners
10. OpenCV
The classic computer vision library - face detection+
https://github.com/opencv/opencv
====================================
HOW TO USE THESE FOR YOUR CAREER:
Star the repos - recruiters check GitHub activity!
Build 1 mini-project using any of these
Add it to resume: Built X using YOLO/LangChain
Contribute even small fixes = huge resume boost!
====================================
Want ready-made AI projects with source code?
https://t.me/Projectwithsourcecodes
Share with your coding friends!
#AIProjects #GitHub #OpenSource #MachineLearning
#StableDiffusion #LangChain #YOLO #Ollama #LLM
#DeepLearning #ComputerVision #GenAI #Python
#BTech2026 #MCA2026 #BCA2026 #FinalYearProject
#ProjectWithSourceCodes #StudentsOfIndia
Direct GitHub Links - Star & Learn!
====================================
1. Stable Diffusion WebUI
Generate AI images on your own PC (150K+ stars!)
https://github.com/AUTOMATIC1111/stable-diffusion-webui
2. LangChain
Build ChatGPT-style apps + RAG systems
https://github.com/langchain-ai/langchain
3. OpenAI Whisper
Speech-to-text AI - build subtitle/transcription apps
https://github.com/openai/whisper
4. Ultralytics YOLO
Real-time object detection - CV projects made easy
https://github.com/ultralytics/ultralytics
5. AutoGPT
Autonomous AI agents that complete tasks alone
https://github.com/Significant-Gravitas/AutoGPT
6. Ollama
Run LLaMA/Mistral AI models on YOUR laptop - free!
https://github.com/ollama/ollama
7. Hugging Face Transformers
1000s of ready AI models - NLP, vision, audio
https://github.com/huggingface/transformers
8. llama.cpp
Run big AI models on CPU - no GPU needed!
https://github.com/ggerganov/llama.cpp
9. Generative AI for Beginners (Microsoft)
FREE 21-lesson course - learn GenAI from zero
https://github.com/microsoft/generative-ai-for-beginners
10. OpenCV
The classic computer vision library - face detection+
https://github.com/opencv/opencv
====================================
HOW TO USE THESE FOR YOUR CAREER:
Star the repos - recruiters check GitHub activity!
Build 1 mini-project using any of these
Add it to resume: Built X using YOLO/LangChain
Contribute even small fixes = huge resume boost!
====================================
Want ready-made AI projects with source code?
https://t.me/Projectwithsourcecodes
Share with your coding friends!
#AIProjects #GitHub #OpenSource #MachineLearning
#StableDiffusion #LangChain #YOLO #Ollama #LLM
#DeepLearning #ComputerVision #GenAI #Python
#BTech2026 #MCA2026 #BCA2026 #FinalYearProject
#ProjectWithSourceCodes #StudentsOfIndia
5 FREE AI & ML COURSES ON GITHUB
Learn From Zero - No Payment Needed!
====================================
1. Generative AI for Beginners (Microsoft) - 112K stars
21 lessons to start building with Generative AI & LLMs
Perfect for: ChatGPT-style apps, prompt engineering
https://github.com/microsoft/generative-ai-for-beginners
2. ML for Beginners (Microsoft) - 87K stars
12 weeks, 26 lessons, 52 quizzes - classic Machine Learning
Perfect for: your very first ML foundation
https://github.com/microsoft/ML-For-Beginners
3. AI for Beginners (Microsoft) - 51K stars
12 weeks, 24 lessons - neural networks, CV & NLP basics
Perfect for: understanding how AI actually works
https://github.com/microsoft/AI-For-Beginners
4. LLM Course (mlabonne) - 80K stars
Roadmaps + Colab notebooks to master Large Language Models
Perfect for: going deep into LLMs & fine-tuning
https://github.com/mlabonne/llm-course
5. Made With ML (GokuMohandas) - 48K stars
Learn to develop, deploy & iterate on production-grade ML
Perfect for: real-world MLOps & job-ready skills
https://github.com/GokuMohandas/Made-With-ML
====================================
HOW TO LEARN SMART:
Pick ONE course and finish it fully
Build a mini-project after every few lessons
Push your practice code to GitHub daily
Add "Completed X course + built Y" to your resume
====================================
Want ready-made AI projects with source code?
https://t.me/Projectwithsourcecodes
Share with your coding friends!
#AI #MachineLearning #FreeCourse #LLM #GenAI
#DeepLearning #LearnToCode #Python #MLOps
#BTech2026 #MCA2026 #BCA2026 #FinalYearProject
#ProjectWithSourceCodes #StudentsOfIndia
Learn From Zero - No Payment Needed!
====================================
1. Generative AI for Beginners (Microsoft) - 112K stars
21 lessons to start building with Generative AI & LLMs
Perfect for: ChatGPT-style apps, prompt engineering
https://github.com/microsoft/generative-ai-for-beginners
2. ML for Beginners (Microsoft) - 87K stars
12 weeks, 26 lessons, 52 quizzes - classic Machine Learning
Perfect for: your very first ML foundation
https://github.com/microsoft/ML-For-Beginners
3. AI for Beginners (Microsoft) - 51K stars
12 weeks, 24 lessons - neural networks, CV & NLP basics
Perfect for: understanding how AI actually works
https://github.com/microsoft/AI-For-Beginners
4. LLM Course (mlabonne) - 80K stars
Roadmaps + Colab notebooks to master Large Language Models
Perfect for: going deep into LLMs & fine-tuning
https://github.com/mlabonne/llm-course
5. Made With ML (GokuMohandas) - 48K stars
Learn to develop, deploy & iterate on production-grade ML
Perfect for: real-world MLOps & job-ready skills
https://github.com/GokuMohandas/Made-With-ML
====================================
HOW TO LEARN SMART:
Pick ONE course and finish it fully
Build a mini-project after every few lessons
Push your practice code to GitHub daily
Add "Completed X course + built Y" to your resume
====================================
Want ready-made AI projects with source code?
https://t.me/Projectwithsourcecodes
Share with your coding friends!
#AI #MachineLearning #FreeCourse #LLM #GenAI
#DeepLearning #LearnToCode #Python #MLOps
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5 GITHUB REPOS TO CRACK CODING INTERVIEWS
Free - Star & Start Preparing Today!
====================================
1. Coding Interview University (jwasham) - 355K stars
A complete CS study plan to become a software engineer
Best for: full roadmap from zero to interview-ready
https://github.com/jwasham/coding-interview-university
2. System Design Primer (donnemartin) - 356K stars
Learn to design large-scale systems + Anki flashcards
Best for: system design rounds (Amazon, Google, etc.)
https://github.com/donnemartin/system-design-primer
3. Tech Interview Handbook (yangshun) - 140K stars
Curated, to-the-point interview prep for busy engineers
Best for: quick, high-yield revision
https://github.com/yangshun/tech-interview-handbook
4. The Algorithms - Python (TheAlgorithms) - 222K stars
Every important algorithm implemented in Python
Best for: DSA practice & understanding code
https://github.com/TheAlgorithms/Python
5. Interviews (kdn251) - 65K stars
Everything you need to know to get the job
Best for: data structures, algorithms & DP patterns
https://github.com/kdn251/interviews
====================================
SMART PREP PLAN:
Pick ONE roadmap and follow it daily
Solve 2-3 problems every single day
Revise system design before product-company rounds
Push your solutions to GitHub = shows consistency!
====================================
Want ready-made projects with source code for your resume?
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#CodingInterview #DSA #SystemDesign #Placement
#Algorithms #Python #LeetCode #GitHub #OpenSource
#BTech2026 #MCA2026 #BCA2026 #FinalYearProject
#ProjectWithSourceCodes #StudentsOfIndia
Free - Star & Start Preparing Today!
====================================
1. Coding Interview University (jwasham) - 355K stars
A complete CS study plan to become a software engineer
Best for: full roadmap from zero to interview-ready
https://github.com/jwasham/coding-interview-university
2. System Design Primer (donnemartin) - 356K stars
Learn to design large-scale systems + Anki flashcards
Best for: system design rounds (Amazon, Google, etc.)
https://github.com/donnemartin/system-design-primer
3. Tech Interview Handbook (yangshun) - 140K stars
Curated, to-the-point interview prep for busy engineers
Best for: quick, high-yield revision
https://github.com/yangshun/tech-interview-handbook
4. The Algorithms - Python (TheAlgorithms) - 222K stars
Every important algorithm implemented in Python
Best for: DSA practice & understanding code
https://github.com/TheAlgorithms/Python
5. Interviews (kdn251) - 65K stars
Everything you need to know to get the job
Best for: data structures, algorithms & DP patterns
https://github.com/kdn251/interviews
====================================
SMART PREP PLAN:
Pick ONE roadmap and follow it daily
Solve 2-3 problems every single day
Revise system design before product-company rounds
Push your solutions to GitHub = shows consistency!
====================================
Want ready-made projects with source code for your resume?
https://t.me/Projectwithsourcecodes
Share with your placement batch!
#CodingInterview #DSA #SystemDesign #Placement
#Algorithms #Python #LeetCode #GitHub #OpenSource
#BTech2026 #MCA2026 #BCA2026 #FinalYearProject
#ProjectWithSourceCodes #StudentsOfIndia