Python education

Author: Nicolo Ceneda
Contact: [email protected]
Website: www.nicoloceneda.com
Institution: Imperial College London
Course: PhD in Finance
Last update: 10 September 2020

Content of the Scripts:

IPython
│
├── Shell or Notebook.ipynb                       <-- Launching the Ipython Shell; Launching t-
│                                                     he Jupyter Notebook
│
├── Help and Documentation.ipynb                  <-- Accessing Documentation; Accessing Source 
│                                                     Code; Autocompletion
│
├── Keyboard Shortcuts.ipynb                      <-- Navigation Shortcuts; Text Entry Shortcu-
│                                                     ts; Command History Shortcuts; Miscellan-
│                                                     eous Shortcuts
│                                                     
├── Magic Commands.ipynb                          <-- Pasting Code Blocks; Running External Co-
│                                                     de; Timing Code Execution; Help on Magic 
│                                                     Function
│                                                     
├── Input and Output History.ipynb                <-- In and Out Objects; Underscore Shortcut; 
│                                                     Suppressing Output; Related Magic Comman-
│                                                     ds
│
├── IPython and Shell Commands.ipynb              <-- Shell Commands In Python; Passing Values
│                                                     to and from the Shell; Shell Related Mag-
│                                                     ic Commands
│
├── Errors and Debugging.ipynb                    <-- Traceback; Debugging
│
└── Timing and Profiling Code.ipynb               <-- Timing Code Snippets; Profiling Code

NumPy
│
├── Array Creation and Attributes.ipynb           <-- Creating arrays; Array attributes
│
├── Array Indexing and Slicing.ipynb              <-- Indexing arrays; Slicing arrays; Views a-
│                                                     nd copies
│
└── Array Operations.ipynb                        <-- Manipulating arrays; Aggregation functio-
                                                      ns; Other useful functions; Broadcasting 
                                                      arrays

Pandas
│
├── Series Creation and Attributes.ipynb          <-- Creating series; Series attributes
│
├── DataFrame Creation and Attributes.ipynb       <-- Creating dataframes; Dataframe attributes
│
├── Series Indexing and Slicing.ipynb             <-- Indexing series; Slicing series; Series 
│                                                     indexers; Views and copies
│                                                     
├── DataFrame Indexing and Slicing.ipynb          <-- Indexing dataframes; Slicing dataframes; 
│                                                     Dataframe indexers; Views and copies
│                                             
└── Pandas - Index Creation and Operations        <-- Creating indexes; Manipulating indexes
                                                 

Tensorflow
│
├── Tensors.ipynb                                 <-- Creating tensors; Accessing the values of
│                                                     a tensor; Manipulating the data type of a 
│                                                     tensor; Manipulating the shape of a tens-
│                                                     or; Applying m athematical operations to
│                                                     tensors
│
├── Variables.ipynb                               <-- Creating variables; Accessing the values 
│                                                     of a variable; Modifying the values of a
│                                                     variable
│                                                     
├── Computation Graphs and Gradients.ipynb        <-- Creating a computation graph (TensorFlow
│                                                     v1.x; TensorFlow v2); Computing gradients
│
├── Dataset API.ipynb                             <-- Creating a dataset; Iterating through a  
│                                                     dataset; Combining two tensors into a jo-      
│                                                     int dataset; Shuffling the dataset, crea-
│                                                     ting batches and repeating; Fetching ava- 
│                                                     ilable datasets from the tensorflow_data-
│                                                     sets library    
│
├── Common Architectures with Keras API.ipynb     <-- Keras object oriented API (Example of Ke-
│                                                     ras object oriented API); Keras function-
│                                                     al API (Example of Keras object oriented 
│                                                     API)                     
│
├── Custom Architectures with Keras API.ipynb     <-- Customized models; Customized layers (Ad-                
│                                                     ditional options; Example of customized  
│                                                     layers)
│
└── Custom Training.ipynb                         <-- Defining the model; Defining the loss fu- 
                                                      nction; Obtaining the training data; Def-         
                                                      ining the training loop