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Machine Learning in Microservices - 2023.pdf
12.4 MB
Machine Learning in Microservices
Mohamed Abouahmed, 2023
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BREAKING
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Just ....
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Forwarded from EthioLink
Software Engineer
Company: Tholons Inc.

โ€œSoftware Developer โ€“ Python & AI Agent Development (Entry-Level). We are seeking a highly skilled Python Developer specializing in AI agent architecture to drive immediate innovation. You will lead...
โ€

- Experience level: Entry-Level
Source: josad_software
#software #engineer #AI #Python #LinkedIn
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๐Ÿ›  DAILY DEV COMMANDS CHEAT SHEET


# ============================================
# Start / Stop
# ============================================
docker compose up # Start all services (foreground)
docker compose up -d # Start in background
docker compose down # Stop all services
docker compose down -v # Stop + delete volumes (fresh DB)
docker compose restart web # Restart specific service

# ============================================
# Logs
# ============================================
docker compose logs -f web # Follow web logs
docker compose logs -f # Follow all logs
docker compose logs --tail 100 web # Last 100 lines

# ============================================
# Django Commands
# ============================================
docker compose exec web uv run python manage.py shell
docker compose exec web uv run python manage.py makemigrations
docker compose exec web uv run python manage.py migrate
docker compose exec web uv run python manage.py createsuperuser
docker compose exec web uv run python manage.py test

# ============================================
# Database
# ============================================
docker compose exec db psql -U postgres -d habsify_db
# Then: \dt (list tables), \q (quit)

# ============================================
# Container Shell
# ============================================
docker compose exec web bash # Get into web container
docker compose exec db bash # Get into postgres container

# ============================================
# Status
# ============================================
docker compose ps # See running containers
docker compose top # See processes in containers

# ============================================
# Clean Slate
# ============================================
docker compose down -v # Delete everything
docker system prune -a # Delete unused images/cache
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Python Strings

Strings are used to store text data in Python. A string is a sequence of characters enclosed in single quotes or double quotes.


name = "Python"
message = 'Hello World'


1. Basic Syntax 
Strings can be created using single or double quotes.


name = "Alex"
city = 'Mumbai'


Both are valid strings.

2. Access Characters using Indexing 
Each character has an index starting from 0.


text = "Python"
print(text[0])
print(text[3])


Output: 
P 
h

Negative indexing starts from the end.


print(text[-1])


Output: 
n

3. String Slicing 
Extract part of a string using slicing.


text = "Python"
print(text[0:3])
print(text[2:6])


Output: 
Pyt 
thon

4. String Length 
Use len() to find the number of characters.


text = "Python"
print(len(text))


Output: 
6

5. Convert Case 


text = "Python Programming"
print(text.upper())
print(text.lower())
print(text.title())


Output: 
PYTHON PROGRAMMING 
python programming 
Python Programming

6. Remove Spaces 
Use strip() to remove leading and trailing spaces.


text = " Python "
print(text.strip())


Output: 
Python

7. Replace Text 


text = "I love Java"
print(text.replace("Java", "Python"))


Output: 
I love Python

8. Split a String 
Convert a string into a list.


text = "Python SQL Excel"
print(text.split())


Output: 
['Python', 'SQL', 'Excel']

9. Join Strings 
Join list elements into a single string.


words = ["Python", "SQL", "Excel"]
print(" | ".join(words))


Output: 
Python | SQL | Excel

10. Check String Methods


text = "Python"
print(text.startswith("Py"))
print(text.endswith("on"))
print("th" in text)


Output: 
True 
True 
True

11. String Concatenation 
Combine multiple strings using +.


first = "Hello"
second = "World"
print(first + " " + second)


Output: 
Hello World

12. f-Strings Recommended 
The easiest way to format strings.


name = "Alex"
age = 25
print(f"My name is {name} and I am {age} years old.")


Output: 
My name is Alex and I am 25 years old.

Note: f-Strings are faster and more readable than string concatenation.

13. Practice Examples

Reverse a string 


text = "Python"
print(text[::-1])


Output: 
nohtyP

Count occurrences 


text = "banana"
print(text.count("a"))


Output: 
3

Find character position 


text = "Python"
print(text.find("t"))


Output: 
2

Check if string contains a word 


text = "I am learning Python"
print("Python" in text)


Output: 
True

Note: Strings are one of the most frequently used data types in Python, especially in web development, automation, and data analysis.
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