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Core Python - Learnees

Core Python

+91 9278097629

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Our "Core Python" class is the way to go if you want to master one of the most powerful and flexible programming languages. The definite program, this is, for your dream developer, software engineer, or tech enthusiast, it takes you step-by-step from the very basic concepts to the advanced techniques of the language.

Trainer

LiveOnline

Course started on:

Upto First 3 Sessions - 100% Refund Guarantee

1. Introduction to Python

Topics:

What is Python?
WHY PYTHON?
History
Features – Dynamic
Interpreted
Object oriented
Embeddable
Extensible
Large standard libraries
Free and Open source
Why Python is General Language?
Limitations of Python
What is PSF?
Python implementations
Python applications
Python versions
Python in real time industry
Difference between Python 2.x and 3.x
Difference between Python 3.7 and 3.8
Software Development Architectures

Hands-on:

Skills You Will Learn:

2. Python Software

Topics:

Python Distributions
Download &Python Installation Process in Windows
Unix
Linux and Mac
Online Python IDLE
Python Real-time IDEs like Spyder
Jupyter Note Book
PyCharm
Rodeo
Visual Studio Code
ATOM
PyDevetc

Hands-on:

Skills You Will Learn:

3. Python Language Fundamentals

Topics:

Python Implementation Alternatives/Flavors
Keywords
Identifiers
Constants / Literals
Data types
Python VS JAVA
Python Syntax

Hands-on:

Skills You Will Learn:

4. Different Modes of Python

Topics:

Interactive Mode
Scripting Mode
Programming Elements
Structure of Python program
First Python Application
Comments in Python
Python file extensions
Setting Path in Windows
Edit and Run python program without IDE
Edit and Run python program using IDEs
INSIDE PYTHON
Programmers View of Interpreter
Inside INTERPRETER
What is Byte Code in PYTHON?
Python Debugger

Hands-on:

Skills You Will Learn:

5. Python Variables

Topics:

Bytes Data Type
Byte array
String Formatting in Python
Math
Random
Secrets Modules
Introduction
Initialization of variables
Local variables
Global variables
‘global’ keyword
Input and Output operations
Data conversion functions – int() / float() /complex() / str() / chr() /ord()

Hands-on:

Skills You Will Learn:

6. Operators

Topics:

Arithmetic Operators
Comparison Operators
Python Assignment Operators
Logical Operators
Bitwise Operators
Shift operators
Membership Operators
Identity Operators
Ternary Operator
Operator precedence
Difference between “is” vs “==”

Hands-on:

Skills You Will Learn:

7. Control Statements

Topics:

Conditional control statements
If
If-else
If-elif-else
Nested-if
Loop control statements
for
while
Nested loops
Branching statements
Break
Continue
Pass
Return
Case studies

Hands-on:

Skills You Will Learn:

8. Data Structures or Collections

Topics:

Introduction
Importance of Data structures
Applications of Data structures
Types of Collections
Sequence
Strings & List & Tuple & range
Non sequence
Set & Frozen set & Dictionary
Strings
What is string
Representation of Strings
Processing elements using indexing
Processing elements using Iterators
Manipulation of String using Indexing and Slicing
String operators
Methods of String object
String Formatting
String functions
String Immutability
Case studies

Hands-on:

Skills You Will Learn:

9. List Collection

Topics:

What is List
Need of List collection
Different ways of creating List
List comprehension
List indices
Processing elements of List through Indexing and Slicing
List object methods
List is Mutable
Mutable and Immutable elements of List
Nested Lists
List_of_lists
Hardcopy
shallowCopy and DeepCopy
zip() in Python
How to unzip?
Python Arrays
Case studies

Hands-on:

Skills You Will Learn:

10. Tuple Collection

Topics:

What is tuple?
Different ways of creating Tuple
Method of Tuple object
Tuple is Immutable
Mutable and Immutable elements of Tuple
Process tuple through Indexing and Slicing
List v/s Tuple
Case studies

Hands-on:

Skills You Will Learn:

11. Set Collection

Topics:

What is set?
Different ways of creating set
Difference between list and set
Iteration Over Sets
Accessing elements of set
Python Set Methods
Python Set Operations
Union of sets
functions and methods of set
Python Frozen set
Difference between set and frozenset ?
Case study

Hands-on:

Skills You Will Learn:

12. Dictionary Collection

Topics:

What is dictionary?
Difference between list
set and dictionary
How to create a dictionary?
PYTHON HASHING?
Accessing values of dictionary
Python Dictionary Methods
Copying dictionary
Updating Dictionary
Reading keys from Dictionary
Reading values from Dictionary
Reading items from Dictionary
Delete Keys from the dictionary
Sorting the Dictionary
Python Dictionary Functions and methods
Dictionary comprehension

Hands-on:

Skills You Will Learn:

13. Functions

Topics:

What is Function?
Advantages of functions
Syntax and Writing function
Calling or Invoking function
Classification of Functions
Python argument type functions
‘pass’ keyword in functions
Lambda functions/Anonymous functions
Nested functions
Non local variables
global variables
Closures
Decorators
Generators
Iterators
Monkey patching

Hands-on:

Skills You Will Learn:

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What You'll Learn in Core Python

Master the essential skills and industry-leading tools that will prepare you for real-world challenges and career success

Python syntax & indentation rules

Variables

data types

Input/output operations

Type casting

Control Flow & Logic Building

Data Structures

Functions & Modules

Mini Projects & Practical Skills

Curriculum Designed by Industry Experts

Master the skills employers are looking for with our comprehensive, hands-on curriculum

Introduction to Python

20 Topics

Python Software

12 Topics

Python Language Fundamentals

7 Topics

Different Modes of Python

15 Topics

Python Variables

13 Topics

Free Career Counselling

We're happy to help you 24/7

1. Introduction to Python

Topics:

What is Python?
WHY PYTHON?
History
Features – Dynamic
Interpreted
Object oriented
Embeddable
Extensible
Large standard libraries
Free and Open source
Why Python is General Language?
Limitations of Python
What is PSF?
Python implementations
Python applications
Python versions
Python in real time industry
Difference between Python 2.x and 3.x
Difference between Python 3.7 and 3.8
Software Development Architectures

Hands-on:

Skills You Will Learn:

2. Python Software

Topics:

Python Distributions
Download &Python Installation Process in Windows
Unix
Linux and Mac
Online Python IDLE
Python Real-time IDEs like Spyder
Jupyter Note Book
PyCharm
Rodeo
Visual Studio Code
ATOM
PyDevetc

Hands-on:

Skills You Will Learn:

3. Python Language Fundamentals

Topics:

Python Implementation Alternatives/Flavors
Keywords
Identifiers
Constants / Literals
Data types
Python VS JAVA
Python Syntax

Hands-on:

Skills You Will Learn:

4. Different Modes of Python

Topics:

Interactive Mode
Scripting Mode
Programming Elements
Structure of Python program
First Python Application
Comments in Python
Python file extensions
Setting Path in Windows
Edit and Run python program without IDE
Edit and Run python program using IDEs
INSIDE PYTHON
Programmers View of Interpreter
Inside INTERPRETER
What is Byte Code in PYTHON?
Python Debugger

Hands-on:

Skills You Will Learn:

5. Python Variables

Topics:

Bytes Data Type
Byte array
String Formatting in Python
Math
Random
Secrets Modules
Introduction
Initialization of variables
Local variables
Global variables
‘global’ keyword
Input and Output operations
Data conversion functions – int() / float() /complex() / str() / chr() /ord()

Hands-on:

Skills You Will Learn:

6. Operators

Topics:

Arithmetic Operators
Comparison Operators
Python Assignment Operators
Logical Operators
Bitwise Operators
Shift operators
Membership Operators
Identity Operators
Ternary Operator
Operator precedence
Difference between “is” vs “==”

Hands-on:

Skills You Will Learn:

7. Control Statements

Topics:

Conditional control statements
If
If-else
If-elif-else
Nested-if
Loop control statements
for
while
Nested loops
Branching statements
Break
Continue
Pass
Return
Case studies

Hands-on:

Skills You Will Learn:

8. Data Structures or Collections

Topics:

Introduction
Importance of Data structures
Applications of Data structures
Types of Collections
Sequence
Strings & List & Tuple & range
Non sequence
Set & Frozen set & Dictionary
Strings
What is string
Representation of Strings
Processing elements using indexing
Processing elements using Iterators
Manipulation of String using Indexing and Slicing
String operators
Methods of String object
String Formatting
String functions
String Immutability
Case studies

Hands-on:

Skills You Will Learn:

9. List Collection

Topics:

What is List
Need of List collection
Different ways of creating List
List comprehension
List indices
Processing elements of List through Indexing and Slicing
List object methods
List is Mutable
Mutable and Immutable elements of List
Nested Lists
List_of_lists
Hardcopy
shallowCopy and DeepCopy
zip() in Python
How to unzip?
Python Arrays
Case studies

Hands-on:

Skills You Will Learn:

10. Tuple Collection

Topics:

What is tuple?
Different ways of creating Tuple
Method of Tuple object
Tuple is Immutable
Mutable and Immutable elements of Tuple
Process tuple through Indexing and Slicing
List v/s Tuple
Case studies

Hands-on:

Skills You Will Learn:

11. Set Collection

Topics:

What is set?
Different ways of creating set
Difference between list and set
Iteration Over Sets
Accessing elements of set
Python Set Methods
Python Set Operations
Union of sets
functions and methods of set
Python Frozen set
Difference between set and frozenset ?
Case study

Hands-on:

Skills You Will Learn:

12. Dictionary Collection

Topics:

What is dictionary?
Difference between list
set and dictionary
How to create a dictionary?
PYTHON HASHING?
Accessing values of dictionary
Python Dictionary Methods
Copying dictionary
Updating Dictionary
Reading keys from Dictionary
Reading values from Dictionary
Reading items from Dictionary
Delete Keys from the dictionary
Sorting the Dictionary
Python Dictionary Functions and methods
Dictionary comprehension

Hands-on:

Skills You Will Learn:

13. Functions

Topics:

What is Function?
Advantages of functions
Syntax and Writing function
Calling or Invoking function
Classification of Functions
Python argument type functions
‘pass’ keyword in functions
Lambda functions/Anonymous functions
Nested functions
Non local variables
global variables
Closures
Decorators
Generators
Iterators
Monkey patching

Hands-on:

Skills You Will Learn:

Why Choose Rashmikant Das

Discover the unique advantages that make our learning platform stand out

24x7 Support

One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time

Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

Industry Recognised Certification

Learnees Training Certificate
Graded Performance Certificate
Certificate of Completion

Core Python Certification

Master Skills & Earn Your Professional Certificate

Industry-recognized certificate by Learnees Institute

Learn from certified trainers with hands-on sessions

Receive career support and placement guidance

Globally recognized certification for career growth

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Career Opportunities

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Why enroll for Core Python Certification?

Unlock your potential in with Core Python certification

Most Popular Certification

Core Python certification is rated as one of the most popular and lucrative cloud certifications in IT globally.

Growing Market

The global Core Python market size is expected to grow at a CAGR of 21.2% from 2024 to 2030.

High Salary Potential

The estimated total pay for an Core Python is ₹7,09,000 per year, with an average salary of ₹6,09,000 per year - Glassdoor.

Course Overview: Core Python

Essential details: objectives, prerequisites, schedule, and outcomes

Provide a solid foundation in Python programming language. Familiarize participants with Python syntax, data structures, and control flow. Introduce object-oriented programming principles and best practices. Enable participants to develop practical applications using Python. Explore advanced topics such as file handling, exception handling, and module usage. Equip learners with the skills necessary to pursue further study or career opportunities in Python development.