Bob Belderbos
@bbelderbos.bsky.social
👋 Co-Founder of Pybites
🐍 Python software developer + coach
📘 Love books/ reading
🐍 Python software developer + coach
📘 Love books/ reading
One of my favorite design patterns: the Repository Pattern. 😍
It keeps business logic separate from the data layer. 📈
Need to swap SQL for CSV or add an API backend later? Plug it in, the interface stays the same.
Example below 👇
It keeps business logic separate from the data layer. 📈
Need to swap SQL for CSV or add an API backend later? Plug it in, the interface stays the same.
Example below 👇
November 14, 2025 at 10:38 AM
One of my favorite design patterns: the Repository Pattern. 😍
It keeps business logic separate from the data layer. 📈
Need to swap SQL for CSV or add an API backend later? Plug it in, the interface stays the same.
Example below 👇
It keeps business logic separate from the data layer. 📈
Need to swap SQL for CSV or add an API backend later? Plug it in, the interface stays the same.
Example below 👇
I solved a Bite today and used collections.Counter() 🙂
Good reminder: the right data structure saves a lot of code. 🐍
In this case: apart from a small helper function, you get the top stock by symbol using most_common()
Clean, fast, readable. 🚀
Good reminder: the right data structure saves a lot of code. 🐍
In this case: apart from a small helper function, you get the top stock by symbol using most_common()
Clean, fast, readable. 🚀
November 13, 2025 at 5:29 PM
I solved a Bite today and used collections.Counter() 🙂
Good reminder: the right data structure saves a lot of code. 🐍
In this case: apart from a small helper function, you get the top stock by symbol using most_common()
Clean, fast, readable. 🚀
Good reminder: the right data structure saves a lot of code. 🐍
In this case: apart from a small helper function, you get the top stock by symbol using most_common()
Clean, fast, readable. 🚀
So keep an eye out on the docs to expand and challenge your Pytohnic thinking. 📈
Bonus tip below: how to un-lambda yourself.
I agree: just write a quick function, more readable + reusable (with the exception of using it inline in common built-ins like `sorted`)
Bonus tip below: how to un-lambda yourself.
I agree: just write a quick function, more readable + reusable (with the exception of using it inline in common built-ins like `sorted`)
November 12, 2025 at 10:39 AM
So keep an eye out on the docs to expand and challenge your Pytohnic thinking. 📈
Bonus tip below: how to un-lambda yourself.
I agree: just write a quick function, more readable + reusable (with the exception of using it inline in common built-ins like `sorted`)
Bonus tip below: how to un-lambda yourself.
I agree: just write a quick function, more readable + reusable (with the exception of using it inline in common built-ins like `sorted`)
I like #Python books and reading source code for inspiration, but don't underestimate the power of the docs.
This week I learned that uuid now supports v7 and that random + sqlite3 added command-line scripts in recent versions.
This week I learned that uuid now supports v7 and that random + sqlite3 added command-line scripts in recent versions.
November 12, 2025 at 10:39 AM
I like #Python books and reading source code for inspiration, but don't underestimate the power of the docs.
This week I learned that uuid now supports v7 and that random + sqlite3 added command-line scripts in recent versions.
This week I learned that uuid now supports v7 and that random + sqlite3 added command-line scripts in recent versions.
TIL #Python 3.14 comes with uuid6 and -7
And really nice: since 3.12 the uuid module can be executed as a script from the command line 📈 - so with a bit of uv we get to a pretty powerful command 😍 👇
And really nice: since 3.12 the uuid module can be executed as a script from the command line 📈 - so with a bit of uv we get to a pretty powerful command 😍 👇
November 11, 2025 at 11:55 AM
TIL #Python 3.14 comes with uuid6 and -7
And really nice: since 3.12 the uuid module can be executed as a script from the command line 📈 - so with a bit of uv we get to a pretty powerful command 😍 👇
And really nice: since 3.12 the uuid module can be executed as a script from the command line 📈 - so with a bit of uv we get to a pretty powerful command 😍 👇
snakeviz == nice for profiling + visualizing 💡 💪 🐍
uv run python -m cProfile -o profile.out -m script_or_package
uv add --dev snakeviz
uv run snakeviz profile.out
(Screenshot: me profiling slow Pandas code as a candidate to refactor using Polars 🔥)
#python #debugging
uv run python -m cProfile -o profile.out -m script_or_package
uv add --dev snakeviz
uv run snakeviz profile.out
(Screenshot: me profiling slow Pandas code as a candidate to refactor using Polars 🔥)
#python #debugging
May 9, 2025 at 3:51 PM
snakeviz == nice for profiling + visualizing 💡 💪 🐍
uv run python -m cProfile -o profile.out -m script_or_package
uv add --dev snakeviz
uv run snakeviz profile.out
(Screenshot: me profiling slow Pandas code as a candidate to refactor using Polars 🔥)
#python #debugging
uv run python -m cProfile -o profile.out -m script_or_package
uv add --dev snakeviz
uv run snakeviz profile.out
(Screenshot: me profiling slow Pandas code as a candidate to refactor using Polars 🔥)
#python #debugging
🚀 Built a #Streamlit front-end on top of a #FastAPI backend for our next cohort (starting next week!) 🚀
Great stack for quickly prototyping a front-end, all #Python, no JS 😎
(For more serious web apps you definitely want JS and/or htmlx though 💡)
Great stack for quickly prototyping a front-end, all #Python, no JS 😎
(For more serious web apps you definitely want JS and/or htmlx though 💡)
May 6, 2025 at 4:43 PM
🚀 Built a #Streamlit front-end on top of a #FastAPI backend for our next cohort (starting next week!) 🚀
Great stack for quickly prototyping a front-end, all #Python, no JS 😎
(For more serious web apps you definitely want JS and/or htmlx though 💡)
Great stack for quickly prototyping a front-end, all #Python, no JS 😎
(For more serious web apps you definitely want JS and/or htmlx though 💡)
TIL about the 🔥 chardet library — it guesses unknown file encodings!
📄 Write text in latin-1 ➡️ try to read as utf-8 ➡️ 💥 UnicodeDecodeError.
👨💻 Solution:
📄 Write text in latin-1 ➡️ try to read as utf-8 ➡️ 💥 UnicodeDecodeError.
👨💻 Solution:
April 29, 2025 at 10:09 AM
TIL about the 🔥 chardet library — it guesses unknown file encodings!
📄 Write text in latin-1 ➡️ try to read as utf-8 ➡️ 💥 UnicodeDecodeError.
👨💻 Solution:
📄 Write text in latin-1 ➡️ try to read as utf-8 ➡️ 💥 UnicodeDecodeError.
👨💻 Solution:
𝟱 𝗰𝗼𝗼𝗹 𝘄𝗮𝘆𝘀 to use the underscore in #Python 🐍💡
• Ignore 𝘃𝗮𝗹𝘂𝗲𝘀 when unpacking
• Loop 𝗽𝗹𝗮𝗰𝗲𝗵𝗼𝗹𝗱𝗲𝗿
• Access 𝗹𝗮𝘀𝘁 𝗿𝗲𝘀𝘂𝗹𝘁 in REPL
• Format 𝗹𝗮𝗿𝗴𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀
• Define "𝗽𝗿𝗶𝘃𝗮𝘁𝗲" methods (convention)
See below 👇
• Ignore 𝘃𝗮𝗹𝘂𝗲𝘀 when unpacking
• Loop 𝗽𝗹𝗮𝗰𝗲𝗵𝗼𝗹𝗱𝗲𝗿
• Access 𝗹𝗮𝘀𝘁 𝗿𝗲𝘀𝘂𝗹𝘁 in REPL
• Format 𝗹𝗮𝗿𝗴𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀
• Define "𝗽𝗿𝗶𝘃𝗮𝘁𝗲" methods (convention)
See below 👇
April 25, 2025 at 2:05 PM
𝟱 𝗰𝗼𝗼𝗹 𝘄𝗮𝘆𝘀 to use the underscore in #Python 🐍💡
• Ignore 𝘃𝗮𝗹𝘂𝗲𝘀 when unpacking
• Loop 𝗽𝗹𝗮𝗰𝗲𝗵𝗼𝗹𝗱𝗲𝗿
• Access 𝗹𝗮𝘀𝘁 𝗿𝗲𝘀𝘂𝗹𝘁 in REPL
• Format 𝗹𝗮𝗿𝗴𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀
• Define "𝗽𝗿𝗶𝘃𝗮𝘁𝗲" methods (convention)
See below 👇
• Ignore 𝘃𝗮𝗹𝘂𝗲𝘀 when unpacking
• Loop 𝗽𝗹𝗮𝗰𝗲𝗵𝗼𝗹𝗱𝗲𝗿
• Access 𝗹𝗮𝘀𝘁 𝗿𝗲𝘀𝘂𝗹𝘁 in REPL
• Format 𝗹𝗮𝗿𝗴𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀
• Define "𝗽𝗿𝗶𝘃𝗮𝘁𝗲" methods (convention)
See below 👇
Potentially underused #Python 🐍 feature: 𝘀𝗲𝘁 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 💡
Here's an example how we can remove or update tags, casting new + old into sets, then performing 𝘴𝘦𝘵 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 🔥
Have you used them, how? 😍
(Still on the fence about 𝘸𝘢𝘭𝘳𝘶𝘴, but couldn't bear doing 𝘴𝘵𝘳𝘪𝘱() twice 😅)
Here's an example how we can remove or update tags, casting new + old into sets, then performing 𝘴𝘦𝘵 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 🔥
Have you used them, how? 😍
(Still on the fence about 𝘸𝘢𝘭𝘳𝘶𝘴, but couldn't bear doing 𝘴𝘵𝘳𝘪𝘱() twice 😅)
April 25, 2025 at 6:16 AM
Potentially underused #Python 🐍 feature: 𝘀𝗲𝘁 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 💡
Here's an example how we can remove or update tags, casting new + old into sets, then performing 𝘴𝘦𝘵 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 🔥
Have you used them, how? 😍
(Still on the fence about 𝘸𝘢𝘭𝘳𝘶𝘴, but couldn't bear doing 𝘴𝘵𝘳𝘪𝘱() twice 😅)
Here's an example how we can remove or update tags, casting new + old into sets, then performing 𝘴𝘦𝘵 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 🔥
Have you used them, how? 😍
(Still on the fence about 𝘸𝘢𝘭𝘳𝘶𝘴, but couldn't bear doing 𝘴𝘵𝘳𝘪𝘱() twice 😅)
Making a temporary file/dur is very useful for 𝘁𝗲𝘀𝘁𝗶𝗻𝗴.
In the example below, we first use 𝘛𝘦𝘮𝘱𝘰𝘳𝘢𝘳𝘺𝘋𝘪𝘳𝘦𝘤𝘵𝘰𝘳𝘺 to create 5 temp files.
This is a great example of using a 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗿 — a clean way to automatically clean up resources.
pytest makes it even easier using the 𝘵𝘮𝘱_𝘱𝘢𝘵𝘩 fixture:
In the example below, we first use 𝘛𝘦𝘮𝘱𝘰𝘳𝘢𝘳𝘺𝘋𝘪𝘳𝘦𝘤𝘵𝘰𝘳𝘺 to create 5 temp files.
This is a great example of using a 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗿 — a clean way to automatically clean up resources.
pytest makes it even easier using the 𝘵𝘮𝘱_𝘱𝘢𝘵𝘩 fixture:
![import os
from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
def count_dirs_and_files(directory_path: str = '.' ) -> tuple[int, int]:
"""Function for counting dirs and files in a directory."""
dirs, files = 0, 0
for _, directories, filenames in os.walk(directory_path):
dirs += len(directories)
files += len(filenames)
return dirs, files
def test_only_files():
with TemporaryDirectory(dir="/tmp") as dirname:
for i in range(1, 6):
(Path(dirname) / f'{i}.txt').write_text('hello')
assert count_dirs_and_files(dirname) == (0, 5)
# refactored using pytest's tmp_path fixture + parametrize
@pytest.mark.parametrize("num_files", [1, 5, 10])
def test_only_files_param(tmp_path, num_files):
for i in range(1, num_files + 1):
(tmp_path / f'{i}.txt').write_text('hello')
assert count_dirs_and_files(tmp_path) == (0, num_files)](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:uay2bzai5qhnwqcqz7ivsvzg/bafkreiek6n5hqufscypuha47rm6aqb3rkjnjrqsezjna5ayjarf63wzybq@jpeg)
April 23, 2025 at 9:14 AM
Making a temporary file/dur is very useful for 𝘁𝗲𝘀𝘁𝗶𝗻𝗴.
In the example below, we first use 𝘛𝘦𝘮𝘱𝘰𝘳𝘢𝘳𝘺𝘋𝘪𝘳𝘦𝘤𝘵𝘰𝘳𝘺 to create 5 temp files.
This is a great example of using a 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗿 — a clean way to automatically clean up resources.
pytest makes it even easier using the 𝘵𝘮𝘱_𝘱𝘢𝘵𝘩 fixture:
In the example below, we first use 𝘛𝘦𝘮𝘱𝘰𝘳𝘢𝘳𝘺𝘋𝘪𝘳𝘦𝘤𝘵𝘰𝘳𝘺 to create 5 temp files.
This is a great example of using a 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗿 — a clean way to automatically clean up resources.
pytest makes it even easier using the 𝘵𝘮𝘱_𝘱𝘢𝘵𝘩 fixture:
Becoming a proficient #Python dev isn’t just about syntax, it’s about building usable apps with clean, testable, well-structured code.
That’s what we coach in our 6-week cohort starting next month.
Real apps. Real feedback. Real growth. 💪
More info: pybitescoaching.com
That’s what we coach in our 6-week cohort starting next month.
Real apps. Real feedback. Real growth. 💪
More info: pybitescoaching.com
April 17, 2025 at 3:20 PM
Becoming a proficient #Python dev isn’t just about syntax, it’s about building usable apps with clean, testable, well-structured code.
That’s what we coach in our 6-week cohort starting next month.
Real apps. Real feedback. Real growth. 💪
More info: pybitescoaching.com
That’s what we coach in our 6-week cohort starting next month.
Real apps. Real feedback. Real growth. 💪
More info: pybitescoaching.com
A common #Polars saying:
"𝙄 𝙘𝙖𝙢𝙚 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙥𝙚𝙚𝙙, 𝙗𝙪𝙩 𝙨𝙩𝙖𝙮𝙚𝙙 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙮𝙣𝙩𝙖𝙭" 😍
I see why now — it's 𝗯𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹 and 𝗳𝗮𝘀𝘁. 📈
Switched from Pandas?
What’s been your biggest win (or pain)? 🤔
#Python #Rust #DataAnalytics
"𝙄 𝙘𝙖𝙢𝙚 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙥𝙚𝙚𝙙, 𝙗𝙪𝙩 𝙨𝙩𝙖𝙮𝙚𝙙 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙮𝙣𝙩𝙖𝙭" 😍
I see why now — it's 𝗯𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹 and 𝗳𝗮𝘀𝘁. 📈
Switched from Pandas?
What’s been your biggest win (or pain)? 🤔
#Python #Rust #DataAnalytics
April 16, 2025 at 8:35 AM
A common #Polars saying:
"𝙄 𝙘𝙖𝙢𝙚 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙥𝙚𝙚𝙙, 𝙗𝙪𝙩 𝙨𝙩𝙖𝙮𝙚𝙙 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙮𝙣𝙩𝙖𝙭" 😍
I see why now — it's 𝗯𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹 and 𝗳𝗮𝘀𝘁. 📈
Switched from Pandas?
What’s been your biggest win (or pain)? 🤔
#Python #Rust #DataAnalytics
"𝙄 𝙘𝙖𝙢𝙚 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙥𝙚𝙚𝙙, 𝙗𝙪𝙩 𝙨𝙩𝙖𝙮𝙚𝙙 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙨𝙮𝙣𝙩𝙖𝙭" 😍
I see why now — it's 𝗯𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹 and 𝗳𝗮𝘀𝘁. 📈
Switched from Pandas?
What’s been your biggest win (or pain)? 🤔
#Python #Rust #DataAnalytics
After just 3 weeks in our upcoming cohort (halfway point), you’ll have a working CLI journal app:
✅ Typer
✅ clean code
✅ testing
✅ real end-to-end project
We’ve coached 100s of devs 1:1 — now bringing that magic to our new cohort programs 🎉
🔗 pybitescoaching.com
✅ Typer
✅ clean code
✅ testing
✅ real end-to-end project
We’ve coached 100s of devs 1:1 — now bringing that magic to our new cohort programs 🎉
🔗 pybitescoaching.com
April 15, 2025 at 12:02 PM
After just 3 weeks in our upcoming cohort (halfway point), you’ll have a working CLI journal app:
✅ Typer
✅ clean code
✅ testing
✅ real end-to-end project
We’ve coached 100s of devs 1:1 — now bringing that magic to our new cohort programs 🎉
🔗 pybitescoaching.com
✅ Typer
✅ clean code
✅ testing
✅ real end-to-end project
We’ve coached 100s of devs 1:1 — now bringing that magic to our new cohort programs 🎉
🔗 pybitescoaching.com
![from itertools import combinations
from difflib import SequenceMatcher
tags = ['python', 'pythonista', 'developer', 'development', 'dev', 'devs']
def similar(a: str, b: str) -> float:
return SequenceMatcher(None, a, b).ratio()
THRESHOLD = 0.8 # tune based on how strict you want to be
for a, b in combinations(tags, 2):
score = similar(a, b)
if score >= THRESHOLD:
print(f"{a} ≈ {b} → {score:.2f}")
# output:
# developer ≈ development → 0.80
# dev ≈ devs → 0.86](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:uay2bzai5qhnwqcqz7ivsvzg/bafkreiafzxjhee3qpt22a4mbjrmkurimk7xg5wlxxgwhcw3ebnfdcdbur4@jpeg)
If you struggle to understand #Python OOP, why not pull from one of the most famous allegories in #philosophy — Plato’s Cave? 💡
April 2, 2025 at 11:54 AM
If you struggle to understand #Python OOP, why not pull from one of the most famous allegories in #philosophy — Plato’s Cave? 💡
Who has experienced this?
#AI tools: quick wins, but more + longer debugging?
(image source: www.reddit.com/r/Programmer...)
#AI tools: quick wins, but more + longer debugging?
(image source: www.reddit.com/r/Programmer...)
April 2, 2025 at 11:52 AM
Who has experienced this?
#AI tools: quick wins, but more + longer debugging?
(image source: www.reddit.com/r/Programmer...)
#AI tools: quick wins, but more + longer debugging?
(image source: www.reddit.com/r/Programmer...)
List vs Generator in Python 🐍💡
List: 835MB, 0.99s
Generator: 192B, 0.00s 😲
• Use `sys.getsizeof()` to check memory.
• Use generators when you don’t need all values at once.
Small change, big difference! 📈
#Python #tips #performance
List: 835MB, 0.99s
Generator: 192B, 0.00s 😲
• Use `sys.getsizeof()` to check memory.
• Use generators when you don’t need all values at once.
Small change, big difference! 📈
#Python #tips #performance
![import sys, time
start = time.time()
list_comp = [x for x in range(100_000_000)]
print(f"List: {sys.getsizeof(list_comp):,} bytes, {time.time() - start:.4f}s")
start = time.time()
gen_exp = (x for x in range(100_000_000))
print(f"Generator: {sys.getsizeof(gen_exp):,} bytes, {time.time() - start:.4f}s")](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:uay2bzai5qhnwqcqz7ivsvzg/bafkreiflggzcgbz2a45kd73he3koysxsf7a4qr47xf2q2wmocyv5gbu4v4@jpeg)
March 20, 2025 at 7:59 AM
List vs Generator in Python 🐍💡
List: 835MB, 0.99s
Generator: 192B, 0.00s 😲
• Use `sys.getsizeof()` to check memory.
• Use generators when you don’t need all values at once.
Small change, big difference! 📈
#Python #tips #performance
List: 835MB, 0.99s
Generator: 192B, 0.00s 😲
• Use `sys.getsizeof()` to check memory.
• Use generators when you don’t need all values at once.
Small change, big difference! 📈
#Python #tips #performance
@Pybites Books v2 is live! 🚀
Simple, fast book tracking that incentivizes you to keep #reading 😎
Gamified, clean design (Tailwind + Htmx 🙏), and loved by users already. 😍
Let’s keep #books alive 💡, especially in this day and age. 📈
Try it → pybitesbooks.com 📚
Simple, fast book tracking that incentivizes you to keep #reading 😎
Gamified, clean design (Tailwind + Htmx 🙏), and loved by users already. 😍
Let’s keep #books alive 💡, especially in this day and age. 📈
Try it → pybitesbooks.com 📚
March 19, 2025 at 3:13 PM
@Pybites Books v2 is live! 🚀
Simple, fast book tracking that incentivizes you to keep #reading 😎
Gamified, clean design (Tailwind + Htmx 🙏), and loved by users already. 😍
Let’s keep #books alive 💡, especially in this day and age. 📈
Try it → pybitesbooks.com 📚
Simple, fast book tracking that incentivizes you to keep #reading 😎
Gamified, clean design (Tailwind + Htmx 🙏), and loved by users already. 😍
Let’s keep #books alive 💡, especially in this day and age. 📈
Try it → pybitesbooks.com 📚
