Rating 4.59 out of 5 (136 ratings in Udemy)
What you'll learn- Python core concepts in easy way in Hindi
- All Concepts will be cleared in a lucid manner
- Interview Questions
- Excellent Tips
- A TO Z about Core Python in depth
- Best Course in Python
DescriptionPYTHON 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 …
Rating 4.59 out of 5 (136 ratings in Udemy)
What you'll learn- Python core concepts in easy way in Hindi
- All Concepts will be cleared in a lucid manner
- Interview Questions
- Excellent Tips
- A TO Z about Core Python in depth
- Best Course in Python
DescriptionPYTHON 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
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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