🔍 🖥 The Terminal: First Steps and Useful Commands for Python Developers 📚
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Learn how to navigate and manage your file system like a pro with the terminal, the command-line interface that's faster and more flexible than graphical interfaces for many development tasks.
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Learn how to navigate and manage your file system like a pro with the terminal, the command-line interface that's faster and more flexible than graphical interfaces for many development tasks.
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cd: Change directories, navigate your file system 💻•
ls: List files and directories in your current directory 📁•
mkdir: Create new directories for projects or organize existing ones...🔍 Python News: Tier List and Wiki for Beginners 📚
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For those new to Python programming, staying up-to-date with the latest news and trends can be overwhelming. Here's a concise summary of recent Python news:
- HighGuard Wiki provides tier lists, wardens, and weapons for beginners.
- Check out Harvard's publicly available ML textbook on their GitHub repository 📊.
- Learn complex regular expressions in readable Python code using Pregex 💻.
- Stay informed with the latest Python updates and trends 👏.
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For those new to Python programming, staying up-to-date with the latest news and trends can be overwhelming. Here's a concise summary of recent Python news:
- HighGuard Wiki provides tier lists, wardens, and weapons for beginners.
- Check out Harvard's publicly available ML textbook on their GitHub repository 📊.
- Learn complex regular expressions in readable Python code using Pregex 💻.
- Stay informed with the latest Python updates and trends 👏.
🔬 Python State Machine Simulator and Visualizer: A Powerful Tool for Complex Systems 🤖
Learn how to create a state machine simulator in Python that visualizes complex systems, automating testing and analysis.
• Create a custom state machine using Python classes and objects.
• Use visualization libraries like Matplotlib or Seaborn to display the state machine's behavior.
• Test and optimize your state machine with automated code reviews.
Check out this example code: 📝
Save it as
Learn how to create a state machine simulator in Python that visualizes complex systems, automating testing and analysis.
• Create a custom state machine using Python classes and objects.
• Use visualization libraries like Matplotlib or Seaborn to display the state machine's behavior.
• Test and optimize your state machine with automated code reviews.
Check out this example code: 📝
import matplotlib.pyplot as plt
class StateMachine:
def __init__(self):
self.states = {}
def add_state(self, name, function):
self.states[name] = function
def update(self, current_state, input_value):
if current_state in self.states:
output_function = self.states[current_state](input_value)
print(f"{current_state} -> {output_function}")
Save it as
smac.py and run it to see the visualization: 📈❤3
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❤2
Singleton via new: One object rules all👑
When you have five loggers, three configurations, and two connections to the same database in your code - this is not architecture, but a communal apartment. Singleton solves: one object, no copies.
1️⃣ What's the point
Singleton guarantees that the class will have only one instance. All "new" calls simply return the already existing instance.
2️⃣ Practice
3️⃣ Why it's important
4️⃣ Nuances
🧠 Tip: implement Singleton as a metaclass or via a decorator - it'll be prettier and more flexible.
Useful?
❤️ - Yes
👍 - I already use it
👩💻 @DataScienceQ
When you have five loggers, three configurations, and two connections to the same database in your code - this is not architecture, but a communal apartment. Singleton solves: one object, no copies.
Singleton guarantees that the class will have only one instance. All "new" calls simply return the already existing instance.
class Singleton:
_instance = None
def __new__(cls, *args, **kwargs):
if not cls._instance:
print("Creating the first and last instance 🧱")
cls._instance = super().__new__(cls)
return cls._instance
# Check it out
a = Singleton()
b = Singleton()
print(a is b) # True
💠 Common access to resources (DB, logger, config)💠 Control of the system state💠 Minimum overhead
➡️ Thread safety - add locking if there's multithreading➡️ Don't overdo it - too many singletons = hidden dependencies➡️ Sometimes it's better to use DI (dependency injection)
Useful?
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❤2
How is the architecture of brokers in Kafka structured?
Answer:
Data is always written to the leader, which then asynchronously replicates it to the followers. If the leader fails, Kafka automatically selects a new one from the ISR. This ensures fault tolerance, although there may be a brief delay in service when the leader changes.
tags: #interview
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What are the main principles of writing unit tests?
Answer:
A good unit test reads like a specification: a clear name, minimal unnecessary preparation, a clear reason for failure. It should be fast and not access the network, database, or file system. If a dependency is unavoidable, it is replaced with a stub or mocks, checking either the result or the interaction contract, but not both at once unnecessarily.
tags: #interview
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Why shouldn't the
is operator be used to compare strings and numbers?Answer:
For comparing content, you need to use ==, otherwise the result may be unpredictable and depend on the interpreter's implementation.
tags: #interview
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