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Learn #python tips and tricks with code I Free Certification course https://t.co/ENgI7hhywC https://t.co/Bu8vSIjLfd
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Dec 2 9 tweets 4 min read
Web Development using Python
🧵: Create Your First Web App with Python and Flask clcoding.com/2023/12/create…
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Dec 1 11 tweets 5 min read
Automation with Python
🧵: Google IT Automation with Python Professional Certificate clcoding.com/2023/10/google…
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Nov 23 6 tweets 3 min read
Deep Learning using Python
🧵: 1. Deep Learning Specialization clcoding.com/2023/11/deep-l…
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Nov 21 5 tweets 2 min read
Master in Data Science in 15 hours
🧵: 1. Introduction to Data and Data Science
365datascience.pxf.io/9gq4ej
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Nov 18 6 tweets 3 min read
Top 5 high rated Mahine learning Books 📚
🧵: 1. Introduction to Machine Learning with Python: A Guide for Data Scientists amzn.to/40InptE
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Nov 14 6 tweets 1 min read
Python: Lists vs. Tuples vs. Sets vs. Dictionaries
🧵: Lists:

Mutable: Lists are mutable, meaning you can modify their elements (add, remove, or change) after creation.
Ordered: Elements in a list are ordered and can be accessed by their index (position).
Syntax: Defined using square brackets [].
Example: my_list = [1, 2, 3, 4]
Nov 11 8 tweets 2 min read
20 extremely useful single-line Python codes
🧵: 1. Swap Variables:
2. Find Maximum Element in a List:
3. Find Minimum Element in a List:
4. List Comprehension:
5. Filter List Elements: Image
Nov 10 11 tweets 3 min read
Choosing the right ML model can make or break your project💡

This document lists down the pros and cons of each Machine Learning model.

The models covered in this thread are:
🧵: Linear Regression: A foundational model that predicts a continuous outcome variable based on one or more predictor variables. Image
Sep 20 16 tweets 2 min read
Top 15 Python libraries for artificial intelligence AI
🧵: 1. NumPy: NumPy is the fundamental package for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
Sep 19 13 tweets 3 min read
Top 12 Python API to automate your work
🧵: 1. Weather Forecast API Image
Sep 18 7 tweets 1 min read
Top Python Libraries for website development
🧵: 1. Django: Django is a high-level Python web framework that follows the "batteries-included" philosophy. It provides a robust and complete set of tools for building web applications, including an ORM (Object-Relational Mapping), authentication, routing, and more.
Sep 16 4 tweets 1 min read
Convert two lists into a dictionary Method 1: Using a Dictionary Comprehension Image
Sep 15 4 tweets 1 min read
Removing duplicates items from a list in Python Method 1: Using a Loop
You can iterate through the list and build a new list with only the unique elements. Here's an example using a loop: Image
Jul 9 11 tweets 5 min read
Top 10 Python Data Science book
🧵: 1. Effective Pandas: Patterns for Data Manipulation (Treading on Python) https://t.co/qlVveQcyrzamzn.to/44FupIR
May 4 8 tweets 2 min read
20 Python Code for beginners 1-3 Image
May 2 11 tweets 3 min read
10 Python one liner for new beginners Get vowels in Python Image
May 1 7 tweets 3 min read
Free eBook for Data Science Python for Data Science: A Crash Course for Data Science and Analysis, Python Machine Learning and Big Data amzn.to/41OwDo0 Image
Apr 1 11 tweets 2 min read
10 advanced Python concepts:
Thread 📷 1. Decorators - Decorators are functions that modify the behavior of another function. They are a powerful tool for adding functionality to functions without modifying the function code.
Mar 11 19 tweets 9 min read
Free Python Books pdf
Thread 🧵 PYTHON: PROGRAMMING: A BEGINNER’S GUIDE TO LEARN PYTHON IN 7 DAYS amzn.to/3YzHAHz
Mar 8 26 tweets 4 min read
25 Essential Python Best Practices, Tips, and Tricks
🧵 1. Use a linter
A linter is a tool that analyzes your code for potential errors and coding style violations. Using a linter like Pylint or Flake8 can help you catch errors and improve the readability and consistency of your code.
Feb 3 4 tweets 2 min read
Free Data Science Course
Thread 🧵 Introduction to Data Science and Python bit.ly/3fwnUne Image