🐍 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.

This path helps you learn SQL and understand Databases. Don't worry if you are a total beginner as this path covers everything needed for a beginner and learning up to intermediate-level SQL. This path includes exercises, quiz, and interview questions to practice SQL. SQL is one such language in which you learn more by practicing more so don't leave any chance to practice the queries!