100 Days of Python

Welcome to my "100 Days of Python" challenge! In this repository, you'll find my daily progress as I embark on a journey to learn Python from scratch. Each day, I'll be working on various Python concepts, projects, and exercises, and I'll be documenting my learning process right here.

What to Expect

Daily Jupyter Notebooks: You will find Jupyter Notebook files (.ipynb) for each day's work. These notebooks will contain code snippets, explanations, and exercises related to the Python topics I'm studying that day.
Topics Covered: I will start with the basics, including variables, data types, loops, and conditionals (if-else statements). As the days progress, I will delve into more advanced topics such as functions, object-oriented programming, data structures, and more.
Projects: I will also work on small Python projects to apply what I've learned in practical scenarios. You can check out these projects in the "Projects" directory.
Notes: I'll be sharing my notes and insights in the "Notes" directory. These notes will summarize key concepts and serve as a reference for myself and others.

Daily Progress

Day 1: Introduction to Python, Variables, and Data Types
Day 2: Control Flow - Conditional Statements (if-else)
Day 3: Loops - for and while
...

Projects

Project 1: Description of your first project.
Project 2: Description of your second project.
...

Notes

Notes on Variables and Data Types: Summary of key concepts from Day 1.
Notes on Conditional Statements: Summary of key concepts from Day 2.
...

Contributions

If you'd like to contribute, whether it's correcting typos, suggesting improvements, or adding new exercises or projects, feel free to create a pull request. Your contributions are highly appreciated!

Connect with Me

LinkedIn: Dishant Kharkar

I'm excited to embark on this journey, and I hope you find this repository useful in your own Python learning adventure. Let's learn and grow together!

Happy coding! 🐍🚀

Feel free to customize the README and repository structure to match your preferences and the specific topics you'll cover in your 100 Days of Python challenge. You can also replace the placeholders with actual links to your daily progress and projects as you create them. Good luck with your Python learning journey!

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100 Days of Python

What to Expect

Daily Progress

Projects

Notes

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Name		Name	Last commit message	Last commit date
Latest commit History 141 Commits
Data		Data
Notes		Notes
.gitignore		.gitignore
Day 1 - Basics OF Python.ipynb		Day 1 - Basics OF Python.ipynb
Day10 - List in python(part-2).ipynb		Day10 - List in python(part-2).ipynb
Day100 - Python_100_interview_Questions.ipynb		Day100 - Python_100_interview_Questions.ipynb
Day11 - Tuples In Python.ipynb		Day11 - Tuples In Python.ipynb
Day12 - Sets in Python.ipynb		Day12 - Sets in Python.ipynb
Day13 - Dictionary in Python.ipynb		Day13 - Dictionary in Python.ipynb
Day14 - OOP in Python(part1).ipynb		Day14 - OOP in Python(part1).ipynb
Day15 - OOP in Python(part-2).ipynb		Day15 - OOP in Python(part-2).ipynb
Day16 - OOP in Python(Part3).ipynb		Day16 - OOP in Python(Part3).ipynb
Day17 - Encapsulation in OOP in Python.ipynb		Day17 - Encapsulation in OOP in Python.ipynb
Day18 - Aggregation OOP.ipynb		Day18 - Aggregation OOP.ipynb
Day19 - Inheritance in OOP.ipynb		Day19 - Inheritance in OOP.ipynb
Day2 - Operators_in_Python.ipynb		Day2 - Operators_in_Python.ipynb
Day20 - Polymorphism and Abstraction - Object-Oriented Programming (OOP).ipynb		Day20 - Polymorphism and Abstraction - Object-Oriented Programming (OOP).ipynb
Day21 - Numpy Fundamental.ipynb		Day21 - Numpy Fundamental.ipynb
Day22 - NumPy Attributes.ipynb		Day22 - NumPy Attributes.ipynb
Day23 - Numpy Array Functions.ipynb		Day23 - Numpy Array Functions.ipynb
Day24 - NumPy Fundamentals(part-2).ipynb		Day24 - NumPy Fundamentals(part-2).ipynb
Day25 - Broadcasting-NumPy.ipynb		Day25 - Broadcasting-NumPy.ipynb
Day26 -NumPy_Coding_Demonstrations.ipynb .ipynb		Day26 -NumPy_Coding_Demonstrations.ipynb .ipynb
Day27 - Pandas Introduction .ipynb		Day27 - Pandas Introduction .ipynb
Day28 - Pandas_series.ipynb		Day28 - Pandas_series.ipynb
Day29_Working_with_Series_in_Pandas.ipynb		Day29_Working_with_Series_in_Pandas.ipynb
Day3 - IF-Elif-Else-and-Modules-in-Python.ipynb		Day3 - IF-Elif-Else-and-Modules-in-Python.ipynb
Day30 - Series_Methods.ipynb		Day30 - Series_Methods.ipynb
Day31 - Pandas_Dataframe.ipynb		Day31 - Pandas_Dataframe.ipynb
Day32 - Pandas DataFrame Operations.ipynb		Day32 - Pandas DataFrame Operations.ipynb
Day33 - Filtering a DataFrame.ipynb		Day33 - Filtering a DataFrame.ipynb
Day34 - Pandas Dataframe Methods.ipynb		Day34 - Pandas Dataframe Methods.ipynb
Day35 - GroupBy object in pandas(part-1).ipynb		Day35 - GroupBy object in pandas(part-1).ipynb
Day36 - GroupBy object in Pandas(part2).ipynb		Day36 - GroupBy object in Pandas(part2).ipynb
Day37 - Joins in Pandas.ipynb		Day37 - Joins in Pandas.ipynb
Day38 - Pandas Merge Analysis.ipynb		Day38 - Pandas Merge Analysis.ipynb
Day39 - Multiindex_Objects.ipynb		Day39 - Multiindex_Objects.ipynb
Day4 - Loops-in-Python.ipynb		Day4 - Loops-in-Python.ipynb
Day40 - Stacking and Unstacking.ipynb		Day40 - Stacking and Unstacking.ipynb
Day41 - Working With MutiIndex.ipynb		Day41 - Working With MutiIndex.ipynb
Day42 - Long vs. Wide Format.ipynb		Day42 - Long vs. Wide Format.ipynb
Day43 - Pivot_Table.ipynb		Day43 - Pivot_Table.ipynb
Day44 - Vectorized String opeartion in Pandas.ipynb		Day44 - Vectorized String opeartion in Pandas.ipynb
Day45 - Date_and_Time_in_pandas.ipynb		Day45 - Date_and_Time_in_pandas.ipynb
Day46 - 2D line plot in Matplotlib.ipynb		Day46 - 2D line plot in Matplotlib.ipynb
Day47 - scatterplot and Bar plot in Matplotlib.ipynb		Day47 - scatterplot and Bar plot in Matplotlib.ipynb
Day48 - Histogram and pie chart in Matplotlib.ipynb		Day48 - Histogram and pie chart in Matplotlib.ipynb
Day49 - Advanced Matplotlib(part1).ipynb		Day49 - Advanced Matplotlib(part1).ipynb
Day5 - Strings in Python.ipynb		Day5 - Strings in Python.ipynb
Day50 - Advanced Matplotlib(part2).ipynb		Day50 - Advanced Matplotlib(part2).ipynb
Day51 - Pandas plot function.ipynb		Day51 - Pandas plot function.ipynb
Day52 - Plotly.ipynb		Day52 - Plotly.ipynb
Day53 -Introduction_of_Seaborn.ipynb		Day53 -Introduction_of_Seaborn.ipynb
Day54 - Distribution plots in Seaborn.ipynb		Day54 - Distribution plots in Seaborn.ipynb
Day55 - Matrix_Plot_in_seaborn.ipynb		Day55 - Matrix_Plot_in_seaborn.ipynb
Day56 - Interview Questions.ipynb		Day56 - Interview Questions.ipynb
Day57 - Interview Questions Day2.ipynb		Day57 - Interview Questions Day2.ipynb
Day58 - Sets interview Questions.ipynb		Day58 - Sets interview Questions.ipynb
Day59 - Dictionary Interview questions.ipynb		Day59 - Dictionary Interview questions.ipynb
Day6 - Strings in Python part 2.ipynb		Day6 - Strings in Python part 2.ipynb
Day60 - Tuples Interview Questions.ipynb		Day60 - Tuples Interview Questions.ipynb
Day61 - List Interview Questions.ipynb		Day61 - List Interview Questions.ipynb
Day62 - Python Usecases Interview Questions.ipynb		Day62 - Python Usecases Interview Questions.ipynb
Day63 - OOP (Python) Interview Questions.ipynb		Day63 - OOP (Python) Interview Questions.ipynb
Day64 - Pandas Interview Questions.ipynb		Day64 - Pandas Interview Questions.ipynb
Day65 - Pandas interview Questions(Part-2).ipynb		Day65 - Pandas interview Questions(Part-2).ipynb
Day66 - NumPy Interview Quetions.ipynb		Day66 - NumPy Interview Quetions.ipynb
Day67 - NumPy interview Questions(Part2).ipynb		Day67 - NumPy interview Questions(Part2).ipynb
Day68 - Matplotlib Inerview Questions.ipynb		Day68 - Matplotlib Inerview Questions.ipynb
Day69 - Python Coding Question-1.ipynb		Day69 - Python Coding Question-1.ipynb
Day7- Problems on Strings.ipynb		Day7- Problems on Strings.ipynb
Day70 - Pattern programming Questions in Python.ipynb		Day70 - Pattern programming Questions in Python.ipynb
Day71 - Python Programming Questions(part2).ipynb		Day71 - Python Programming Questions(part2).ipynb
Day72 - list comprehension Questions.ipynb		Day72 - list comprehension Questions.ipynb
Day73 - Python Programming Questions(part3).ipynb		Day73 - Python Programming Questions(part3).ipynb
Day74 - Tuple And Sets Python Programming Questions.ipynb		Day74 - Tuple And Sets Python Programming Questions.ipynb
Day75 - Programming Questions.ipynb		Day75 - Programming Questions.ipynb
Day76 - Pandas Questions.ipynb		Day76 - Pandas Questions.ipynb
Day77 - Python Interview Question.ipynb		Day77 - Python Interview Question.ipynb
Day78 - Revision of Encapsulation in OOP in Python.ipynb		Day78 - Revision of Encapsulation in OOP in Python.ipynb
Day79 - Revision of Aggregation OOP copy.ipynb		Day79 - Revision of Aggregation OOP copy.ipynb
Day8- Interview Question based on Basic-Oprators-If-else-and-Strings-in-Python.ipynb		Day8- Interview Question based on Basic-Oprators-If-else-and-Strings-in-Python.ipynb
Day80 - Revision of Inheritance in OOP.ipynb		Day80 - Revision of Inheritance in OOP.ipynb
Day81 - Revision Of Polymorphism and Abstraction - Object-Oriented Programming (OOP).ipynb		Day81 - Revision Of Polymorphism and Abstraction - Object-Oriented Programming (OOP).ipynb
Day82 - Revision of Stacking and Unstacking.ipynb		Day82 - Revision of Stacking and Unstacking.ipynb
Day83 - Revision of GroupBy object in pandas.ipynb		Day83 - Revision of GroupBy object in pandas.ipynb
Day84 - Revision Of GroupBy object in Pandas(part2).ipynb		Day84 - Revision Of GroupBy object in Pandas(part2).ipynb
Day85 - Revision of Vectorized String opeartion in Pandas.ipynb		Day85 - Revision of Vectorized String opeartion in Pandas.ipynb
Day86 - Interview Questions .ipynb		Day86 - Interview Questions .ipynb
Day87 - Python Usecases Interview Questions.ipynb		Day87 - Python Usecases Interview Questions.ipynb
Day88 - Interview Usecases Questions.ipynb		Day88 - Interview Usecases Questions.ipynb
Day89 - Python Interview USe-cases Questions.ipynb		Day89 - Python Interview USe-cases Questions.ipynb
Day9 - List in python.ipynb		Day9 - List in python.ipynb
Day90 - OOP (Python) Interview Questions.ipynb		Day90 - OOP (Python) Interview Questions.ipynb
Day91 - list comprehension Questions copy.ipynb		Day91 - list comprehension Questions copy.ipynb
Day92 - Dictionary comprehension Interview Questions.ipynb		Day92 - Dictionary comprehension Interview Questions.ipynb
Day93 - List in One Shot.ipynb		Day93 - List in One Shot.ipynb
Day94 - Python Dictionaries in One shot.ipynb		Day94 - Python Dictionaries in One shot.ipynb
Day95 - Revision Pivot_Table.ipynb		Day95 - Revision Pivot_Table.ipynb
Day96 - Revision of Strings in Python.ipynb		Day96 - Revision of Strings in Python.ipynb

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