python-programming-language

This is a soon-to-be archived project version of 30 Days of Python. The original tutorial still works but we have an updated version in the works right now.

The projects which made by me while self learning.

This is the New Jarvis AI Project it will do some functionality followed by user query.

Python Memgraph Client

🧠 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Solve all CS50 - 2022 (Harvard University's introduction to the intellectual enterprises of computer science and the art of programming) Python Course Problem sets - You can find all answers and codes in here but please Dont copy Code just Look how problem solved

ThotKeeper — cross-platform personal daily journaling

The Maze Runner game inspired by Chrome T-Rex. 🎮

Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .

Python - Random Password Generator ( R.P.G. )

all public resources created by Guido van Rossum, the creator and "Benevolent Dictator For Life" (BDFL) of Python programming language

Master Repository to Manage Learning and Assignment for the CapacityBay Cohort 2 Online Course

Projects offer you a promising way to kick-start your career in this field.

Python could learn most effectively by using practice examples. The repository includes examples of fundamental Python ideas. It is encouraged you use the examples as references and test the concepts on your own.

ganesh kavhar python project

Python Bootcamp from Basic-to-Advance is a project for practice and excercise purpose. Anyone can use the code for learning puposes.

This is a public repository of Jupyter notebooks with introductory tutorials on different aspects of Python programming. Please star us if you think it is useful:

This repository contains my work while completing the specialization created by University of Michigan on Coursera. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

Resources for my Type@Cooper course

A camera application made with python, tkinter and opencv