Python-Training

Day 01 - Topics Covered In Python Training :-

• Introduction to Python

• Advantages, Limitations and Applications of Python

• id() function,

• type() function,

• Different ways To give inputs in Python (split, hardcode, user defined, variable length, packing unpacking),

• Program to Find Greater Number

• Swapping with and without 3rd Variable,

• Leap Year,

• Factorial, Prime No.,

• Table Printing Interview qs from wipro. Covered if, else, elif, for, for else, break and while loop today.

• Used 2 Modules- Platform Module & Abhiprime

Day 02 - Topics Covered In Python Training :-

• 1. Program and concepts of LCM, HCF, Add the digits of any number, basic star pattern.

• 2. List, 3 methods of adding elements in list, 4 methods of removing elements in list, programs of list.

• 3. List comprehension

• 4. 1 program asked in microsoft interview.

Day 03 - Topics Covered In Python Training :-

• 1. Strings - single, double, triple quotes, string attributes- lower, upper, title, capitalize, swapcase, replace. Indexing in strings, list and string as datatypes.

• 2. Programs of palindrome, program with comma separated output with no comma after last value, sum of digits upto single digit, removing duplicate elements from list, Fibonacci Series.

• 3. Facebook interview qs of adding digits of list elements.

Day 04 - Topics Covered In Python Training :-

• 1. List Attributes - count, len, index, sum

• 2. String Attributes - strip, lstrip, rstrip, startswith, endswith, isdigit, isalpha, isalnum

• 3. Enumerate Function

• 4. Programs :-

  a. Calculate avg of a list elements. List is not directly given. 1st create a space separated elements in a list using code and then calculate avg using list comprehension.

  b. Remove common elements from 2 lists and store them in a separate list.

  c. Find the index of repeated elements in a list and store those index positions in another list.

• 5. Facebook interview qs - There are 2 lists. Find the index position in the first list of the elements given in the 2nd list and store them in a 3rd list.

Day 05 & 06 & 07 - Topics Covered In Python Training :-

• Functions

• Argument vs Parameters

• Types of arguments

• Types of scopes- local, enclosed, global, builtin

• LEGB Rule

• Nonlocal, global, globals keyword

• First Class Functions

• Closure Functions

• Decorators

• Pass by value and Pass by reference in Python

Day 08 - Topics Covered In Python Training :-

• 1. Anonymous Functions - lambda, map, filter, reduce

• 2. Generators - tuple comprehension, yield, advantages of generator function, program to print fibonacci using yield.

• 3. Exception Handling - Try, except, finally blocks, try with break, exception with continue, finally with continue

Day 09 - Topics Covered In Python Training :-

• 1. Program to find largest no.from a list without max method.

• 2. Program to find index position of given element in the list without using index method.

• 3. Find the middle element of list.

• 4. American Keyboard Row problem

• 5. Integer to Roman number conversion

• 6. Program to find the first repeating character in a string.

Day 10 - Topics Covered In Python Training :-

• Class & Object Definitions.

• Creation Of A Class in Python.

• Difference Between A Function & A Method.

• Object Creation.

• Accessing Class Attributes Using getattr( ) & setattr( ) methods.

• Deleting Class Attributes Using delattr( ) Method.

• Need Of Self Function.

• Initializing An Attribute Of A Class Using init method.

• Inheritance :-

  (i) Multiple Inheritance.

  (ii) Method Resolution Order (mro).

• Concept Of Encapsulation & Access Specifiers in Python :-

  (i) Public

  (ii) Private

  (iii) Protected.

• Name Mangling.

• Why Python is Not A Pure Object-Oriented Programming Language ?

• Concept Of Polymorphism :-

  (i) Method Overloading.

  (ii) Method Overriding.

  (iii) Function Overloading.

  (iv) Operator Overloading.

Day 11 - Topics Covered In Python Training :-

• Duck Typing.

• Monking Patching.

• Destructors.

• Abstraction.

• Inheritance.

• Various Methods in Python :-

  (i) Instance Method.

  (ii) Class Method.

  (iii) Static Method.

• Numpy Module :-

  (i) Creation of Single and Multi-Dimensional Arrays.

  (ii) Reshaping the Arrays.

• Various Array Methods :-

  (i) Zeros

  (ii) Ones

  (iii) Eye

  (iv) Diag

  (v) linalg.det

  (vi) linalg.inv

  (vii) Sum

• Conversion Of 'n' Dimensional Arrays into Single Dimensional Array :-

  (i) flatten( ) Method.

  (ii) ravel( ) Method.

• Some Operations on Matrices.

• Broadcast.

• Drawbacks of Numpy Module.

• Textual Representation Of An Object.

  (i) repr Method.

  (ii) str Method.

• Why Mutable Data Structure Shouldn't Be Used As Function Parameters ?

Day 12 - Topics Covered In Python Training :-

• LBYL vs EAFP

• Iterator And Iterables

• Regular Expression

Day 13 - Topics Covered In Python Training :-

• 10 Programs Asked In Different Interviews.

• Different Features Of Version :-

  (i) 3.8

  (ii) 3.9

  (iii) 3.10