Building Data Science Foundations with Python & SQL Specialization🧵:
Data Science Fundamentals with Python and SQL Specialization clcoding.com/2024/03/data-s…
Oct 23 • 8 tweets • 2 min read
Clean Code in Python: Best Practices vs. Common Mistakes
1. Variable Naming
Oct 20 • 13 tweets • 4 min read
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9 Different ways to use Python Lambda Functions
1. Simple Arithmetic Operations:
Sep 12 • 10 tweets • 3 min read
11 Essential Python Programs to Master Object-Oriented Programming (OOP)
1. Basic Class and Object Creation
2. Class with Methods
Aug 24 • 6 tweets • 2 min read
IP Address Manipulation with Python
1. Check if an IP Address is Private
This program checks whether an IP address belongs to a private range.
Aug 15 • 8 tweets • 2 min read
Top 5 charts you can generate in Python using AI (with code): ↓
If you're not using AI to code, you're risking falling behind. Julius AI writes Python code for data visualization and analysis tasks in seconds, saving you hours of manual coding: julius.ai/?utm_source=tw…
Jul 22 • 6 tweets • 2 min read
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Why you should use PEP 8 guidelines ?
🧵:
1. Consistency
Reason: Consistent code is easier to read and understand. PEP 8 provides a standard style guide that promotes consistency across different projects and among different developers.
Jul 12 • 7 tweets • 2 min read
10 Level of writing Python List
Level 1: Basic List Creation
Level 2: Accessing List Elements
Getters and Setters in Python
Step 1: Understanding Attributes
In Python, a class can have attributes (variables) that store information. For example, a Person class might have attributes for name and age.
May 19 • 11 tweets • 3 min read
Common Python Errors and How to Fix Them
🧵
SyntaxError: invalid syntax
This usually means there's a typo or a mistake in the code structure. Check for missing colons, parentheses, or indentation errors.
May 12 • 9 tweets • 2 min read
How to Write Memory-Efficient Classes in Python?
Use Slots: When you define a class, Python creates a dictionary to store the instance variables and methods. This dictionary consumes memory, especially if you have many instances of the class. By using __slots__, you can tell Python to allocate space for a fixed set of instance variables, reducing memory overhead. Example:
class MyClass:
__slots__ = ['variable1', 'variable2']