Python

Learn Python

Learning Python at RisingStar Technologies brings a multitude of benefits for aspiring programmers. Our Python training program provides a solid foundation in Python programming, empowering learners to build diverse applications and solve real-world problems. Python’s simplicity, readability, and versatility make it an ideal language for beginners and experienced developers alike. By mastering Python, you gain access to a vast ecosystem of libraries and frameworks for web development, data analysis, machine learning, and more. Our practical approach, industry-relevant projects, and experienced instructors ensure that you acquire hands-on Python skills that are in high demand. With Python’s growing popularity and widespread adoption, learning Python at RisingStar Technologies opens doors to rewarding career opportunities in various industries and positions you for success in the ever-evolving tech industry.
 

July 1st

Mon-Fri

Timing

09:00 AM - 11:00 AM

Aug 1st

Mon-Fri

Timing

09:00 AM - 11:00 AM

Sep 1st

Mon-Fri

Timing

09:00 AM - 11:00 AM

Light Package

For Advanced

Full Package

For Beginners

RisingStar Technologies

Courses Include

30 Hours of Session

Flexible Schedule

Real Time Project Use

10 Hours of Lab

One-on-One Doubt Session

Certificate Oriented Curriculum

Python Content

Below, you will find comprehensive details of the Python course, covering all the essential aspects you will be exposed to throughout the program.

Python Course

The versatile and powerful programming language that unlocks endless possibilities for developers.

Introduction to Python
  • 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
  • Data Types 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 Multidimensional 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 substrings
  • 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
  • Introduction to Lambdas
  • Using lambdas with filter() function
  • Using lambdas with map() function
  • Using lambdas with reduce() function
  • 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
  • List comprehension examples
  • 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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RisingStar Technologies

Benefits of Learning Python in RisingStar Technologies

Learning Python at RisingStar Technologies offers numerous benefits. It equips learners with a versatile programming language used in various domains such as web development, data analysis, artificial intelligence, and automation. Python’s simplicity, readability, and extensive libraries make it ideal for both beginners and experienced programmers. With hands-on training and real-world projects, students gain practical skills and enhance their career prospects as Python developers.

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Python Training In India

July 1st
Mon-Fri (21 Days)

Timing 07:00 AM to 09:00 AM

August 1st
Mon-Fri (21 Days)

Timing 07:00 AM to 09:00 AM

September 1st
Mon-Fri (21 Days)

Timing 07:00 AM to 09:00 AM