learning_python

Projects to improve my python skills for data science projects

Projects include

1. Jupyter Notebook (complete), Tutorial followed: https://realpython.com/jupyter-notebook-introduction/
2. NumPy (complete), Tutorial followed: https://realpython.com/numpy-tutorial/
   • Various methods of creating numpy arrays
   • Manipulation of NumPy arrays for performing useful calculations
   • Application to real-world problems
3. Matplotlib (complete), Tutorial followed: https://realpython.com/python-matplotlib-guide/
   • Matplotlib's design concept
   • plt.subplots()
   • Array visualization with matplotlib
4. Pandas (completed; Roughly following Real Python Learning Path: Pandas for Data Science https://realpython.com/learning-paths/pandas-data-science/)
   • Exploring Datasets with Pandas (complete), Tutorial followed: https://realpython.com/pandas-python-explore-dataset/
     • Work with Series and DataFrame Objects
     • Subset data with .loc, .iloc and the indexing operator
     • Queries, Grouping and Aggregation
     • Visualizing data in a Jupyter notebook
   • The Pandas DataFrame: Make Working With Data Delightful (complete), Tutorial followed: https://realpython.com/pandas-dataframe/
     • Creating a Pandas DataFrame
     • Accessing, Modifying, Adding, Sorting, Filtering and Deleting data
     • Usage of Numpy Routines with DataFrames
     • Handling missing values
     • Working with time-series data
     • Visualization of data from DataFrames
5. Object Oriented Programming (partly finished; currently working on personal project)
   • Basics (finished; Tutorial followed: https://realpython.com/python3-object-oriented-programming/)
     • Defining a class
     • Instantiating an object from a class
     • Using attributes and methods to define properties and behaviors of an object
     • Using inheritance to create child classes from parent classes
     • Referencing a parent class method through super()
     • Checking if an object inherits from another class using isinstance()
   • Personal Book List Project (current)
6. Formula 1 Data Analysis (current)
   • How to Analyze Formula 1 Data with Python: A Beginner's Tutorial (Tutorial followed: https://medium.com/towards-formula-1-analysis/how-to-analyze-formula-1-data-with-python-a-beginners-tutorial-23087c4eef1d)
7. Scikit-learn (planned)