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Fundamentals
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Logging in production
Logging in production
Advanced
12 min
Fundamentals
advanced · logging · observability
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Lesson
41
of
43
In this track
▾
1
Hello, World!
3 min
2
Variables & Types
5 min
3
Numbers & Math
5 min
4
Strings
7 min
5
If / Else & Loops
7 min
6
While Loops & break/continue
5 min
7
Lists & Looping
6 min
8
Slicing
5 min
9
Tuples & Sets
6 min
10
Dictionaries
6 min
11
Truthiness & None
5 min
12
enumerate, zip, range
6 min
13
Functions
8 min
14
Nested Data
7 min
15
List Comprehensions
7 min
16
Lambda, map, filter
6 min
17
*args and **kwargs
6 min
18
Generators
8 min
19
Errors & try/except
8 min
20
Context Managers (`with`)
7 min
21
Modules & Imports
6 min
22
JSON
5 min
23
Regular Expressions
9 min
24
Dates & Time
6 min
25
Counter, defaultdict, namedtuple
7 min
26
Recursion
7 min
27
In-memory I/O
5 min
28
Classes & Objects
10 min
29
Inheritance & super()
8 min
30
Magic / Dunder Methods
8 min
31
Decorators
10 min
32
Closures & nonlocal
6 min
33
Type Hints
7 min
34
Dataclasses
6 min
35
Iterators
7 min
36
async / await
9 min
37
NumPy: arrays at speed
12 min
38
Pandas: tabular data
12 min
39
Concurrency: threads vs asyncio
15 min
40
Type hints + mypy
12 min
41
Logging in production
12 min
42
Packaging with pyproject.toml
15 min
43
Performance profiling
12 min
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Type hints + mypy
Advanced · 12 min
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Packaging with pyproject.toml
Advanced · 15 min
Related lessons
Advanced · 12 min
Type hints + mypy
Modern Python annotations, TypedDict, Protocol, and how mypy catches bugs before you run the code.
Advanced · 15 min
Packaging with pyproject.toml
Turn your Python code into an installable package — pyproject.toml, wheels, and pip install .
Advanced · 15 min
Concurrency: threads vs asyncio
The three concurrency modes, the GIL, and why asyncio wins for modern I/O work.