PYTHON DEVELOPER COURSE WITH COMPACT NOTES , PRACTICE TESTS , IN DEPTH EXPLANATION OF ALL IMPORTANT TOPICS , INTERVIEW TIPS AND TRICKS , IMPORTANT QUESTIONS FOR UNIVERSITY EXAMINATION

Dr. Gaurav is certified by Microsoft for Python Programming

This is the most updated course on python with latest version 3.9. We update this course in every two three days and we add new videos .You will learn the following:-

• Features of Python

• Python Virtual Machine (PVM)

• Frozen Binaries

• Memory management in Python

• Garbage collection in Python

• Writing our first Python program

• Executing a Python program

• Getting help in Python

• Reopening the Python program in IDLE

• Comments in Python, Docstrings

• How Python sees variables

• Datatypes in Python

• Sequences in Python

• Sets

• Literals in Python

• Determining the datatype of a variable

• Characters in Python

• User-defined datatypes

• Constants in Python

• Identifiers and Reserved words

• Naming conventions in Python

• Arithmetic operators

• Using Python interpreter as calculator

• Assignment operators

• Unary minus operator

• Relational operators

• Logical operators

• Boolean operators

• Membership operators

• Identity operators

• Operator precedence and associativity

• Mathematical functions

• Output statements

• Various formats of print()

• Input statements

• The built in argv[] list

• Entering various elements from command prompt

• Processing command line arguments

• if statement

• if … else statement

• if … elif … else statement

• while loop

• for loop

• Infinite loops

• Nested loops

• break statement

• continue statement

• pass statement

• assert statement

• return statement

• Creating an array

• Importing the array module

• Indexing and slicing on arrays

• Types of arrays

• Working with arrays using numpy

• Creating arrays using linspace

• Creating arrays using logspace

• Creating arrays using arange() function

• Creating arrays using zeros() and ones() functions

• Mathematical operations on arrays

• Comparing arrays

• Aliasing the arrays

• Viewing and Copying arrays

• Slicing and indexing in numpy arrays

• Dimensions of arrays

• Attributes of an array

• reshape()

• flatten()

• Working with Multi dimensional arrays

• The array() function

• ones() and zeros() functions

• eye() function

• reshape() function

• Indexing in multi dimensional arrays

• Slicing the multi dimensional arrays

• Matrices in numpy

• Creating strings

• Length of a string

• Indexing in strings

• Repeating the strings

• Concatenation of strings

• Checking membership

• Comparing strings

• Removing spaces from a string

• Finding sub strings

• Strings are immutable

• Replacing a string with another string

• Splitting and joining strings

• Changing case of a string

• Checking starting and ending of a string

• String testing methods

• Formatting the strings

• Sorting strings

• Defining a function

• Calling a function

• Returning results from a function

• Returning multiple values from a function

• Functions are first class objects

• Pass by object reference

• Formal and actual arguments

• Positional arguments

• keyword arguments

• Default arguments

• Variable length arguments

• Local and global variables

• The global keyword

• Passing a group of elements to a function

• Recursive functions

• Function decorators

• Generators

• Structured programming

• Creating our own modules in Python

• The special variable name

• Structured Programming

• Creating our own modules in Python

• The special variable __name__

• Creating our own Package

• Accessing the modules from the package

• Creating lists using range() function

• Updating the elements of a list

• Concatenation of two lists

• Repetition of lists

• Membership in lists

• Aliasing and cloning lists

• Methods to process lists

• Nested lists

• List comprehensions

• Tuples

• Creating tuples

• Accessing the tuple elements

• Basic operations on tuples

• Operations on dictionaries

• Dictionary methods

• Using for loop with dictionaries

• Sorting the elements of a dictionary using lambdas

• Converting lists into dictionary

• Converting strings into dictionary

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