Forwarded from Machine Learning with Python
I rarely say this, but this is the best repository for mastering Python.
The course is led by David Beazley, the author of Python Cookbook (3rd edition, O'Reilly) and Python Distilled (Addison-Wesley).
In this PythonMastery.pdf, all the information is structured
👾 Link: https://github.com/dabeaz-course/python-mastery/blob/main/PythonMastery.pdf
In the Exercises folder, all the exercises are located
👾 Link: https://github.com/dabeaz-course/python-mastery/tree/main/Exercises
In the Solutions folder — the solutions
👾 Link: https://github.com/dabeaz-course/python-mastery/tree/main/Solutions
👉 @codeprogrammer
The course is led by David Beazley, the author of Python Cookbook (3rd edition, O'Reilly) and Python Distilled (Addison-Wesley).
In this PythonMastery.pdf, all the information is structured
In the Exercises folder, all the exercises are located
In the Solutions folder — the solutions
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Forwarded from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
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📉 The bitcoin is falling, boss!
We will teach Python to monitor the cryptocurrency rate and notify if the rate is above or below the threshold.
We will connect the
We will create a function to get the BTC price in USD via the CoinGecko API:
Now — the main monitoring cycle. We will set a threshold and check the price every minute:
🔥 You can also easily adapt it for Ethereum, DOGE, or even Telegram Token — just replace bitcoin with the desired coin in the URL.
🚪 @DataScience4
We will teach Python to monitor the cryptocurrency rate and notify if the rate is above or below the threshold.
We will connect the
requests library and import time:import requests
import time
We will create a function to get the BTC price in USD via the CoinGecko API:
def get_btc_price():
url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
r = requests.get(url)
return r.json()["bitcoin"]["usd"]
Now — the main monitoring cycle. We will set a threshold and check the price every minute:
threshold = 65000 # specify your goal
while True:
price = get_btc_price()
print(f"BTC: ${price}")
if price > threshold:
print("🚀 Time to sell!")
break
time.sleep(60)
🔥 You can also easily adapt it for Ethereum, DOGE, or even Telegram Token — just replace bitcoin with the desired coin in the URL.
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1. Which feature allows a function to remember values between calls without using global variables?
A. Closures
B. Decorators
C. Generators
D. Context managers
Correct answer: A.
2. What is the primary purpose of a decorator in Python?
A. Modify class inheritance
B. Change function behavior without altering its code
C. Improve execution speed
D. Handle exceptions automatically
Correct answer: B.
3. Which statement about Python generators is true?
A. They store all values in memory
B. They use
C. They produce values lazily using
D. They cannot be iterated over
Correct answer: C.
4. What does the
A. Method resolution order
B. Attribute access speed and memory usage
C. Garbage collection
D. Inheritance depth
Correct answer: B.
5. Which data structure guarantees insertion order preservation as of Python 3.7?
A. set
B. tuple
C. dict
D. frozenset
Correct answer: C.
6. What is the main advantage of using
A. Faster sorting
B. Automatic key initialization
C. Reduced memory footprint
D. Immutable values
Correct answer: B.
7. Which statement about list comprehensions is correct?
A. They always execute faster than loops
B. They cannot contain conditions
C. They create lists eagerly
D. They are equivalent to generators
Correct answer: C.
8. What does the
A. Forces keyword-only arguments
B. Captures extra positional arguments
C. Unpacks dictionaries
D. Captures extra keyword arguments
Correct answer: B.
9. What is the role of
A. Enforce positional arguments
B. Capture extra keyword arguments
C. Define default values
D. Improve performance
Correct answer: B.
10. Which protocol enables objects to be used in
A. Context manager protocol
B. Descriptor protocol
C. Iterator protocol
D. Numeric protocol
Correct answer: C.
11. What must an object implement to be an iterator?
A.
B.
C. Both
D.
Correct answer: C.
12. What is the primary use of context managers?
A. Memory allocation
B. Automatic resource management
C. Error suppression
D. Parallel execution
Correct answer: B.
13. Which keyword is used to define a context manager without a class?
A. with
B. manage
C. using
D. yield
Correct answer: D.
14. What problem does the Global Interpreter Lock (GIL) primarily affect?
A. File I/O performance
B. Network latency
C. CPU-bound multithreaded code
D. Memory leaks
Correct answer: C.
15. Which module is commonly used for parallelism that bypasses the GIL?
A. threading
B. asyncio
C. multiprocessing
D. concurrent.futures.thread
Correct answer: C.
16. What distinguishes
A. It uses OS-level threads
B. It is based on cooperative multitasking
C. It bypasses the GIL
D. It is suitable only for CPU-bound tasks
Correct answer: B.
17. What does the
A. Blocks the entire program
B. Pauses execution until a coroutine completes
C. Starts a new thread
D. Forces synchronous execution
Correct answer: B.
18. Which operation is typically CPU-bound?
A. Reading a file
B. Waiting for a network response
C. Parsing a large dataset
D. Sleeping for one second
Correct answer: C.
19. What is the main benefit of using
A. Improves recursion depth
B. Memoizes function results
C. Reduces function arguments
D. Enables parallel execution
Correct answer: B.
20. Which statement about Python exceptions is correct?
A. They always terminate the program
B. They cannot be nested
C. They propagate up the call stack if unhandled
D. They are only for runtime errors
Correct answer: C.
A. Closures
B. Decorators
C. Generators
D. Context managers
Correct answer: A.
2. What is the primary purpose of a decorator in Python?
A. Modify class inheritance
B. Change function behavior without altering its code
C. Improve execution speed
D. Handle exceptions automatically
Correct answer: B.
3. Which statement about Python generators is true?
A. They store all values in memory
B. They use
return to yield multiple valuesC. They produce values lazily using
yieldD. They cannot be iterated over
Correct answer: C.
4. What does the
__slots__ attribute primarily optimize?A. Method resolution order
B. Attribute access speed and memory usage
C. Garbage collection
D. Inheritance depth
Correct answer: B.
5. Which data structure guarantees insertion order preservation as of Python 3.7?
A. set
B. tuple
C. dict
D. frozenset
Correct answer: C.
6. What is the main advantage of using
collections.defaultdict?A. Faster sorting
B. Automatic key initialization
C. Reduced memory footprint
D. Immutable values
Correct answer: B.
7. Which statement about list comprehensions is correct?
A. They always execute faster than loops
B. They cannot contain conditions
C. They create lists eagerly
D. They are equivalent to generators
Correct answer: C.
8. What does the
* operator do in function parameters?A. Forces keyword-only arguments
B. Captures extra positional arguments
C. Unpacks dictionaries
D. Captures extra keyword arguments
Correct answer: B.
9. What is the role of
**kwargs in a function definition?A. Enforce positional arguments
B. Capture extra keyword arguments
C. Define default values
D. Improve performance
Correct answer: B.
10. Which protocol enables objects to be used in
for loops?A. Context manager protocol
B. Descriptor protocol
C. Iterator protocol
D. Numeric protocol
Correct answer: C.
11. What must an object implement to be an iterator?
A.
__iter__ onlyB.
__next__ onlyC. Both
__iter__ and __next__D.
__getitem__Correct answer: C.
12. What is the primary use of context managers?
A. Memory allocation
B. Automatic resource management
C. Error suppression
D. Parallel execution
Correct answer: B.
13. Which keyword is used to define a context manager without a class?
A. with
B. manage
C. using
D. yield
Correct answer: D.
14. What problem does the Global Interpreter Lock (GIL) primarily affect?
A. File I/O performance
B. Network latency
C. CPU-bound multithreaded code
D. Memory leaks
Correct answer: C.
15. Which module is commonly used for parallelism that bypasses the GIL?
A. threading
B. asyncio
C. multiprocessing
D. concurrent.futures.thread
Correct answer: C.
16. What distinguishes
asyncio from threading?A. It uses OS-level threads
B. It is based on cooperative multitasking
C. It bypasses the GIL
D. It is suitable only for CPU-bound tasks
Correct answer: B.
17. What does the
await keyword do?A. Blocks the entire program
B. Pauses execution until a coroutine completes
C. Starts a new thread
D. Forces synchronous execution
Correct answer: B.
18. Which operation is typically CPU-bound?
A. Reading a file
B. Waiting for a network response
C. Parsing a large dataset
D. Sleeping for one second
Correct answer: C.
19. What is the main benefit of using
functools.lru_cache?A. Improves recursion depth
B. Memoizes function results
C. Reduces function arguments
D. Enables parallel execution
Correct answer: B.
20. Which statement about Python exceptions is correct?
A. They always terminate the program
B. They cannot be nested
C. They propagate up the call stack if unhandled
D. They are only for runtime errors
Correct answer: C.
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✨ LlamaIndex in Python: A RAG Guide With Examples ✨
📖 Learn how to set up LlamaIndex, choose an LLM, load your data, build and persist an index, and run queries to get grounded, reliable answers with examples.
🏷️ #intermediate #ai
📖 Learn how to set up LlamaIndex, choose an LLM, load your data, build and persist an index, and run queries to get grounded, reliable answers with examples.
🏷️ #intermediate #ai
❤4
✨ Kiro | AI Coding Tools ✨
📖 An agentic IDE that organizes AI-assisted coding around spec-driven development.
🏷️ #Python
📖 An agentic IDE that organizes AI-assisted coding around spec-driven development.
🏷️ #Python
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✨ Learn From 2025's Most Popular Python Tutorials and Courses ✨
📖 Pick from the best Python tutorials and courses of 2025. Revisit core skills, 3.14 updates, AI coding tools, and project walkthroughs. Kickstart your 2026!
🏷️ #basics #community #news
📖 Pick from the best Python tutorials and courses of 2025. Revisit core skills, 3.14 updates, AI coding tools, and project walkthroughs. Kickstart your 2026!
🏷️ #basics #community #news
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✨ Improve Your Python With Python Tricks ✨
📖 Get a short & sweet Python Trick delivered directly to your inbox every couple of days.
🏷️ #Python
📖 Get a short & sweet Python Trick delivered directly to your inbox every couple of days.
🏷️ #Python
✨ The Real Python Newsletter ✨
📖 Join the Real Python newsletter and get free weekly Python tips, delivered directly to your inbox.
🏷️ #Python
📖 Join the Real Python newsletter and get free weekly Python tips, delivered directly to your inbox.
🏷️ #Python
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✨ Join the Real Python Community Chat ✨
📖 Join the Real Python Community Chat and meet the Real Python Team and other Pythonistas looking to improve their skills. Discuss your coding and career questions, celebrate your progress, vote on upcoming tutorial topics, or just hang out with us at this virtual water cooler.
🏷️ #Python
📖 Join the Real Python Community Chat and meet the Real Python Team and other Pythonistas looking to improve their skills. Discuss your coding and career questions, celebrate your progress, vote on upcoming tutorial topics, or just hang out with us at this virtual water cooler.
🏷️ #Python
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This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
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✨ PyCharm | Code Editors & IDEs ✨
📖 An integrated development environment (IDE) focused on Python.
🏷️ #Python
📖 An integrated development environment (IDE) focused on Python.
🏷️ #Python
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✨ Reference: Code Editors & IDEs ✨
📖 Popular code editors and IDEs that help you write, run, and debug Python code.
🏷️ #2_terms
📖 Popular code editors and IDEs that help you write, run, and debug Python code.
🏷️ #2_terms
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Automatic translator in Python!
We translate a text in a few lines using
Install the library:
Example of use:
Mass translation of a list:
🔥 We get a mini-Google Translate right in Python: you can embed it in a chatbot, use it in notes, or automate work with the API.
🚪 @DataScience4
We translate a text in a few lines using
deep-translator. It supports dozens of languages: from English and Russian to Japanese and Arabic.Install the library:
pip install deep-translator
Example of use:
from deep_translator import GoogleTranslator
text = "Hello, how are you?"
result = GoogleTranslator(source="ru", target="en").translate(text)
print("Original:", text)
print("Translation:", result)
Mass translation of a list:
texts = ["Hello", "What's your name?", "See you later"]
for t in texts:
print("→", GoogleTranslator(source="ru", target="es").translate(t))
🔥 We get a mini-Google Translate right in Python: you can embed it in a chatbot, use it in notes, or automate work with the API.
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✨ Bandit | Python Tools ✨
📖 A static analysis tool that scans Python code to detect common security issues.
🏷️ #Python
📖 A static analysis tool that scans Python code to detect common security issues.
🏷️ #Python
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✨ Thonny | Code Editors & IDEs ✨
📖 A free, open-source integrated development environment (IDE) for Python that focuses on simplicity.
🏷️ #Python
📖 A free, open-source integrated development environment (IDE) for Python that focuses on simplicity.
🏷️ #Python
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