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Projects in Awesome Lists tagged with python-tutor

A curated list of projects in awesome lists tagged with python-tutor .

https://github.com/milaan9/06_python_object_class

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.

classes-and-objects encapsulation inheritance instance-methods instance-variables ipython-notebook oop-concepts oop-examples oop-principles oops-in-python operator-overloading operatoroverloding polymorphism python-tutor python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 18 Feb 2025

https://github.com/milaan9/10_python_pandas_module

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

dataframe-drop-columns dataframe-drop-duplicates dataframe-from-dictionary dataframe-from-list dataframe-to-dictionary pandas-dataframe pandas-datareader pandas-excercises pandas-python pandas-series pandas-tricks-for-data-manipulation pandas-tutorial python-pandas python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience tutor-milaan9

Last synced: 19 Feb 2025

https://github.com/milaan9/09_python_numpy_module

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

array-indexing array-manipulations array-math array-methods array-reorganizing ipython-notebook numpy numpy-arrays numpy-exercise-solutions numpy-exercises numpy-matrix numpy-tutorial python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 20 Feb 2025

https://github.com/milaan9/05_python_files

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is also easy and short. Python treats files differently as text or binary and this is important.

exception-handling exceptions file-directory file-exception file-exception-handeling file-handling file-input-output ipython ipython-notebook python-files python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody pythontutorial tutor-milaan9 userdefined-exceptions

Last synced: 20 Feb 2025

https://github.com/milaan9/08_python_date_time_module

Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime modules.

current-date current-time datetime datetime-module ipython-notebook python-datetime python-sleep python-tutor python-tutorial python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody strftime strptime time-module timstamp tutor-milaan9

Last synced: 20 Feb 2025

https://github.com/milaan9/11_python_matplotlib_module

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

data-analysis data-visualization ipython-notebook matplotlib matplotlib-examples matplotlib-exercises matplotlib-figures matplotlib-heatmap matplotlib-pyplot matplotlib-python matplotlib-tutorial python-matplotlib python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 13 Feb 2025