Jaydeep Karale

youtube.com

Everything you need to know about Dataclasses in Python.
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Concepts Explained
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1. What are Dataclasses ?
2. Normal class vs Dataclasses
3. How to create Dataclass ?
4. Why and how to use Dataclasses ?
5. Slots In Dataclasses
6. Asdict to convert data class to Python dictionary
7. Astuple to convert data class to Python Tuple
8. Using dataclass fields to get additional control over attributes
9. __post__init__ dunder method to perform post initialisation checks in dataclasses

Dataclasses Python

- Basics of Python
- Object and Data Structures
- Comparison Operators
- Statements
- Methods and Functions
- Master Object Oriented Programming
- Modules and Packages
- Errors and Exceptions Handling

Learn Python from Scratch to Expert

- Basics of the Python programming language.
- The core concepts of data science libraries in Python.
- Become proficient in manipulating and visualizing data in Python.
- Understand the principles of machine learning and predictive modeling.
- Learn how to use Python to access public datasets and create data-driven applications.
- Become familiar with the capabilities of the Python scientific stack for data analysis.

Learning python to be a data scientist

🐍 Python has rapidly grown to become one of the most used language in the tech industry. 

Objective Of This Path ?

The objective of this learning path is to share with the audience my journey, the path which I took, the resources(both free and paid) which I referred and continue to refer to this day. 

The course contains paid courses which offer high value and also corresponding free versions of the same topics. The advantage of 
paid courses is that they are updated from time to time so you always get access to the latest content.

Career Paths Which Python Opens Up ?
-- Backend Development
-- Data Analytics
-- Data Engineering
-- Data Scientist
-- Machine Learning & AI


How Is This Path Structured ?
-- Structured courses which teach everything about Python in single video
-- IDE Setup for Python(PyCharm, Jupyterlab, VsCode)
-- Managing virtual environments in Python using venv and miniconda
-- Individual video content for important Python concepts such as Decorators, Generators, Logging, Unit Testing, OOPs
-- Courses for Python Backend & Web Development covering Flask, Django & FastAPI
-- Courses for Python Data Engineering & Data Analysis covering Pandas, Numpy, Matplotlib, Seaborn
-- Courses for Python Data Science, Machine Learning/AI covering Pytorch, NLP and various machine learning concepts


Hope my journey & it's learning benefit anyone who takes this path.

Dataclasses Python

Learn Python from Scratch to Expert

Learning python to be a data scientist

Python Mastery: From Zero To Hero