Module C1 (Introduction)

• What is Python?
  • Installation
  • Configuration
  • History of Python
  • Python 2 vs Python 3

Module C2 (IDLE)

• Introduction to IDLE
• Python Environment
• Quick note
• Using the Python Shell
• Writing and Executing Python Scripts

Module C3 (Variables)

• Variables in Python
• Creating Variables
• Numbers Variable
• String Variables
• Float Variables
• Data Manipulation

Module C4 (Decision)

• IIf and Else Condition
• Boolean Operators
• Comparison Operators
• Logical Operators

Module C5 (Loop)

• While Loop
• For Loop
• Mini Project - 1

Module C5 (Data Structures)

• Lists in Python
• Project 2
• Add items to the list
• Dictionaries Variable
• Tuple Types
• Oops concept in Python
• Converting Data Types
• List and Dictionary Comprehensions

Module C6 (Modules)

• Imported Modules
• Standard Module
• Python Module
• Third Party Module
• Using ‘Pip’ to install modules
• Creating and Using Custom Modules

Module C7 (Class)

• Creating Class
• New style class
• Inheritance
• Polymorphism
• Exception classes
• Encapsulation and Abstraction
• Class and Static Methods

Module C7 (Computing in Python)

• Numeric computing in Python
• Introduction to NumPy
• Array Operations
• Vectorized Computations
• Basic Plotting with Matplotlib

Module C8 (Exception Handling)

• Exception Handling
• Runtime Errors
• Fix difficult Errors
• Writing Data in Text files
• Custom Exceptions
• Using ‘finally’ for clean up
• Logging in Python
• Debugging with ‘pdb’
• Best Practices for Error Handling

Module C9 (Collection

• ChainMap
• Counter
• namedtuple()
• deque
• OrderedDirect
• defaultdict
• UserDict & UserList
• UserString
• Working with Itertools
• Mapping and Filtering Collections
• Advanced Sorting Techniques
• Handling Large Data Sets with Generators

Module C10 (Date & Time)

• Execution Time
• Delay
• Methods on Date and time
• Working with datetime Module
• Formatting Dates and Times
• Time zones and ‘pytz’

Module C11 (Working with Excel, Text & Json files)

• Pandas
• Json Files
• Indexing & Slicing
• Reading and Writing CSV Files
• DataFrame Manipulations
• Basic Data Analysis with Pandas
• Environment Variables
• Resources (Pool and Management)
• Work Queue create
• Environment Lock

Module C12 (Website with Python)

• First Website
• HTML Templates
• IPython Virtual Environment
• Introduction to Flask
• Routing in Flask
• Rendering Templates with Flask
• Building REST APIs with Flask

Module C13 (Website with Python)

• Introduction to Web Scraping with BeautifulSoup
• Automating Tasks with Silenium
• Introduction to Data Visualization with Seaborn
• Introduction to Machine Learning with Scikit-Learn
• Deploying Python Applications

Week 5 (Project Work)