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milaan9 / 01_Python_Introduction

Star 223

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
python-tutorials jupyter-notebook type-conversion tutorial-exercises python4beginner python-jupyter-notebooks jupyter-tutorial python-variables python-keywords tutorial-github python-imports python-introduction python-tutorial-notebook python-tutor python-operators python4everybody python-tutorial-github python4datascience tutor-milaan9 namespace-scope
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 07_Python_Advanced_Topics

Star 231

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
python-tutorials ipython-notebook python-decorators python4beginner generator-function python-generators property-decorators python-regex python-tutorial-notebook python-tutor args-kwargs-master python-iterators python4everybody python-tutorial-github python4datascience python-closure python-property python-advance-topics match-object tutor-milaan9
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 02_Python_Datatypes

Star 211

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
python-tutorials list-comprehension python-dictionary python-string-maupulation python-lists python-sets python-tuples list-comprehensions python-strings python-tutorial-notebook python-datatypes python-string-methods python4everybody python-tutorial-github python4datascience python-list-methods python-tuple-methods python-dictionary-methods python-sets-methods tutor-milaan9
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 03_Python_Flow_Control

Star 207

Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
python-tutorials ipython-notebook jupyter-notebooks python4beginner control-statements for-loop while-loop if-elif-else if-statement nested-if-else-statements python-tutorial-notebook if-else-statements python4everybody nested-for-loops python-tutorial-github python4datascience python-flow-control nested-while-loops break-continue-pass tutor-milaan9
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 05_Python_Files

Star 205

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.
python-tutorials ipython ipython-notebook file-handling exceptions exception-handling python4beginner file-input-output python-files pythontutorial python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience file-exception file-exception-handeling file-directory tutor-milaan9 userdefined-exceptions
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 08_Python_Date_Time_Module

Star 205

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.
python-tutorials datetime ipython-notebook strftime current-date current-time python-tutorial python4beginner strptime timstamp python-tutorial-notebook python-tutor python-datetime time-module python4everybody python-tutorial-github python4datascience datetime-module python-sleep tutor-milaan9
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 10_Python_Pandas_Module

Star 209

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.
python-tutorials pandas-dataframe python4beginner pandas-tutorial python-pandas pandas-datareader pandas-python pandas-tricks-for-data-manipulation pandas-series pandas-excercises python-tutorial-notebook python-tutor python-tutorial-github python4datascience dataframe-from-dictionary dataframe-from-list dataframe-drop-columns dataframe-to-dictionary dataframe-drop-duplicates tutor-milaan9
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 09_Python_NumPy_Module

Star 204

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.
python-tutorials numpy ipython-notebook array-methods numpy-tutorial array-manipulations python4beginner numpy-exercises numpy-arrays array-indexing numpy-matrix python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience numpy-exercise-solutions array-math array-reorganizing tutor-milaan9
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 11_Python_Matplotlib_Module

Star 195

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
python-tutorials ipython-notebook data-visualization data-analysis matplotlib python4beginner matplotlib-figures python-matplotlib matplotlib-tutorial matplotlib-heatmap matplotlib-pyplot matplotlib-python python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience matplotlib-examples matplotlib-exercises tutor-milaan9
  • Updated Jun 12, 2022
  • Jupyter Notebook

milaan9 / 92_Python_Games

Star 163

This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
python-tutorials tic-tac-toe ipython-notebook game-2d python3 bulls-and-cows python4beginner board-games bulls-and-cows-solver python-games python-tutorial-notebook python4everybody python-tutorial-github python4datascience python-games-with-ai tic-tac-toe-with-ai bulls-and-cows-with-ai tutor-milaan9 games-with-ai
  • Updated Jun 12, 2022
  • Jupyter Notebook

4GeeksAcademy / python-beginner-programming-exercises

Star 98

Practice your Python programming skills with this interactive and auto-graded set of exercises.
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  • Updated Jun 30, 2022
  • Python
python-http-requests-api-tutorial-exercises

4GeeksAcademy / python-http-requests-api-tutorial-exercises

Star 13

In this series you will Learn HTTP and how to use the Python Requests package to create HTTP Requests GET, POST, PUT, DELETE. The entire tutorial is 👆 interactive, ✅ auto-graded and with. 📹 video tutorials.
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  • Updated Jun 20, 2022
  • Python

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