Core Python
Python Programming(Basic Syntaxes )
- Environment setup
- The python programming language
- What is program?
- What is debugging?
Variables, Expressions and Statements
- Values and types
- Variables
- Variable names and keywords
- Operators and operands
- Expressions and statements
- Interactive mode and script mode
- Order of operations
- String operations
- Comments
- Debugging
Functions
- Function calls
- Type conversion functions
- Math functions
- Composition
- Adding new functions
- Definitions and uses
- Flow of execution
- Parameters and arguments
- Variables and parameters are local
- Stack diagrams
- Fruitful functions and void functions
- Why functions?
- Importing with from
- Debugging
Conditions and Recursion
- Modulus operator
- Boolean expressions
- Logical operators
- Conditional execution
- Alternative execution
- Chained conditionals Nested conditionals
- Recursion
- Stack diagrams for recursive functions
- Infinite recursion
- Keyboard input
- Debugging
Fruitful Functions
- Return values
- Incremental development
- Composition
- Boolean functions
- More recursion
- Leap of faith
- Checking types
- Debugging
Iteration
- Multiple assignments
- Updating variables
- The while statement
- Break
- Debugging
- For loop
String
- A string is a sequence
- Len
- Traversal with a for loop
- String slices
- Strings are immutable
- Searching
- Looping and counting
- String methods
- The in operator
- String comparison
- Debugging
Lists
- A list is a sequence
- Lists are mutable
- Traversing a list
- List operations
- List slices
- List methods
- Map, filter and reduce
- Deleting elements
- Lists and strings
- Objects and values
- Aliasing
- List arguments
- Debugging
Dictionaries
- Dictionary as a set of counters
- Looping and dictionaries
- Reverse lookup
- Dictionaries and lists
- Memos
- Global variables
- Long integers
- Debugging
Tuples
- Tuples are immutable
- Tuple assignment
- Tuples as return values
- Variable-length argument tuples
- Lists and tuples
- Dictionaries and tuples
- Comparing tuples
- Sequences of sequences
- Debugging
Set
- Usage
- Union, Difference
- Available methods
Exception Handling
- Introduction
- Exceptions versus Syntax Errors
- Raising an Exception
- The Assertion Error Exception
- The try and except Block: Handling Exceptions
- The else Clause
Files
- Persistence
- Reading and writing
- Format operator
- Filenames and paths
- Catching exceptions
- Databases
- Writing modules
- Debugging
CSV
- Introduction, Application and Usage
- reader and writer
- DictReader and DictWriter
- Simple CSV processing using functional programming
Pandas
- Introduction to Pandas
- Data Frame Data Structure
- Data Frame Indexing and Loading
- Querying a DataFrame
- Indexing Dataframes
- Manipulating DataFrame
Database with Python
- Installations
- Introduction, Application and Usage
- Basic Structured Query Language
- CRUID operations
Basic Data Visualization
- Principles of Information Visualization
- Visualizing Data Using Spreadsheets
- Matplotlib
- Plotly
- Scatterplots
- Line Plots
- Bar Charts
- Histograms
- Plotting with Pandas
Classes and Objects
- User-defined types
- Attributes
- Real World Example
- Instances as return values
- Objects are mutable
- Copying
- Debugging
Classes and Methods
- Object-oriented features
- The self
- Printing objects
- The init method
- The __str__ method
- Other special methods
- Operator overloading
- Type-based dispatch
- Polymorphism
- @staticmethod
- Debugging
Callable and Non-Callable Object Inheritance
- Introduction
- Example
- Class attributes
- Private, Protected and Public
- Multiple Inheritance
- Class diagrams
- Debugging
- Data encapsulation
GIT
- Installing Git
- status, log, commit push, pull commands
- Branch, Tags and Multiple remote concept and Implementation
- checkout, reset, rebase, merge concept
- Gitlab vs Github vs Bitbucket
Tools
- Trello, Slack, Jira
Bonus
- Advanced Strings, Date & Time
- Python os, re, sys
- GUI basics: Tkinter, Tcl/Tk
- Comprehensions: List, Dictionary
- CSV, Json, XML, SQLite with Python
- Data Science/Visualization: pandas, matplotlib
- Jupyter NoteBook
- Data Streaming using Big Data Technologies like Kafka.
Final Project
As per the recommendation of students, one of the following projects will be done by the instructor themselves!
- Web Scraping project (includes handling web scraping tools, proper file handling and implementation of sql)
- GUI project (any desktop application e.g: calculator, data entry application
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