Python Course content

Chapter 01: • Installation and configuration • Python 2.x vs 3.x

• Python IDE • Data types • Indentation • Hello world • Python ‘is’ vs ‘==’

Chapter 02: • Built-in data types • Internal implementation of data types • type() keyword • Converting between datatypes • Built-in Data structures in Python • Mutable vs immutable data types • Installing any package and finding version

Chapter 03: • Taking user input • Installing any package and finding version • str() and string slicing • Boolean operators • Adding comment • Conditionals • Loop • Break and continue • Reading and writing file in Python

Chapter 04: • Writing Python functions • Programs: WAP to find even numbers, WAP to find palindrome of a number, WAP to reverse string. • Parametrized functions • Keyword and Optional parameters • Variable scope • Passing function to a function • Lambda with Map, Reduce and Filter

Chapter 05: • Python loggers • Iterator vs Iterable • Reading and writing file in Python • Context manager • Json and Pickle module • Generator expressions • List comprehensions • Dictionary comprehensions

Chapter 06: • Python classes • OOPS concepts • Static method and class method • Monkey patching

Chapter 07: • Decorators • In-built decorators (@property decorators) • Python debugger • Singleton design pattern

Chapter 08: • Collections module (Counter, defaultdict, OrderedDict, namedtuple, deque, ChainMap) • FuncTools • Shallow copy and Deep copy • Database access • Datetime module

Chapter 09: • Exceptions • Exception handling • Raising exception • User defined exceptions

Chapter 10: • Creating REST API using Flask • Requests module • Garbage collection • Heapq module • Manipulating YAML files • Manipulating CSV

Chapter 11: • Parallel programming • Profiling • Magic methods(name, init, call) • Unit test cases

Chapter 12: • Project discussion