Python Programming Advanced

Course details

Python Programming - Data Sciences

Introduction to NumPy      

1. Understanding Data Types in  Python
   1. Arrays in Python
   2. Fixed Type Arrays
   3. NumPy Standard Data Types
2. Basics of NumPy Arrays
   1. NumPy Array Attribute
   2. Array Indexing and Slicing
   3. Fancy Indexing
   4. Reshaping Array
   5. Array Concatenation and Splitting
   6. Aggregation on Arrays
3. Comparisons, Masks, and Boolean Logic on Arrays
4. Sorting Arrays
5. Computation on NumPy Arrays: Universal Function

1. Introduction to Pandas Objects
   1. The Pandas Series Objects
   2. The Pandas DataFrame Objects
   3. The Pandas Index Objects
2. Data Indexing and Selection
   1. Data Selection in series
   2. Data Selection in DataFrame
3. Operating on Data in Pandas
   1. Ufuncs: Index Preservation
   2. Ufuncs: Index Alignment
   3. Ufuncs: Operation between DataFrame and Series
4. Operating Null Values
5. Hierarchical Indexing
   1. A Multiply Indexed Series
   2. Methods of MultiIndex Creation
   3. Indexing and Slicing a MultiIndex
   4. Rearranging Multi-Indices
6. Combining Datasets: Concat and Append
7. Combining Datasets: Merge and join
8. Aggregation and Grouping
9. Vectorized String Operators
10. Working with Time Series
11. High Performance Pandas: eval() and query()

1. Importing Matplotlib
2. Setting styles
3. Simple Line Plots
4. Simple Scatter Plots
5. Visualizing Error
6. Density and Contour Plots
7. Histograms, Binning and Density
8. Customizing Plot Legends
9. Customizing Colorbars
10. Multiple Subplots
11. Text and Annotation
12. Customizing Ticks