Loading course details...

Python - Learnees

Python

+91 9278097629

Live Interactive

Verified

The Python Certification Training Course equips learners with essential programming skills in Python, covering data types, functions, OOPs, and libraries for web and data applications. This course prepares you for real-world projects and certification exams to advance your career in software development and data science.

Educator

LiveOnline

Course started on:

Trusted Educators 24x7 Support | Proven Results

1. Basics of Python

Topics:

Introduction to Python
Variable declaration in python
Operators in python

Hands-on:

Building Basic Python Programs
Creating Simple Data Structures
Analyzing Python Control Flows

Skills You Will Learn:

Python Syntax and Semantics
Variables and Data Types
Functions and Modules
Lists and Tuples
Input and Output Operations
Debugging and Testing
Basic Data Structures
Coding Best Practices

2. Data Types in Python

Topics:

Introduction to Python
Variable declaration in python
Operators in python

Hands-on:

Creating Data Type Conversions in Python
Building Data Structures with Python Data Types
Analyzing Data Type Compatibility

Skills You Will Learn:

Integer Data Types
Float and Double Types
String Data Types
Boolean Data Types
List Data Types
Type Hints in Python
Type Error Handling
Working with Data Types in Functions
Data Type Best Practices

3. Program Flow Control python

Topics:

Conditional statement: if-elif-else
Looping in python
Implement examples on loops and conditional statements

Hands-on:

Implementing Conditional Statements in Python
Developing Loop-Based Data Processing Scripts
Crafting Exception Handling Modules

Skills You Will Learn:

If-elif-else Logic
For Loops
While Loops
Break and Continue
Nested Control Structures
Logical Operators
Error Handling in Control Flow
Boolean Logic
Ternary Operator
Switch-case Simulation
Flow Control Optimization
Debugging Flow Control
Control Flow Best Practices

4. Functions, Modules and Packages in python

Topics:

Declaration and implementation of functions
Importance of module programming in python
Packages in python
Lambda function declaration and use in python
Programming using functions modules and external packages

Hands-on:

Creating Modular Python Scripts
Implementing Function Libraries
Building Custom Packages

Skills You Will Learn:

Defining Functions in Python
Function Arguments and Parameters
Returning Values from Functions
Understanding Variable Scope
Organizing Code with Packages
Using Built-in Python Modules
Writing Reusable Code
Exploring Standard Library Functions
Debugging Functions and Modules

5. Strings and Dictionary Manipulations in python

Topics:

Building blocks of python programs
String using in build methods
Use of manipulation in build methods
Dictionary manipulation in python
Programming in python

Hands-on:

Parsing and Extracting Data from Text
Developing a Contact Directory Using Dictionaries
Manipulating String Data for Text Analysis

Skills You Will Learn:

String Operations
String Formatting
String Indexing and Slicing
String Methods
String Search and Replace
String Validation Techniques
String Concatenation and Formatting
Dictionary Creation and Initialization
String and Dictionary Error Handling

6. File handling in python

Topics:

Reading config files in python
Writing log files in python
Understanding read functions
read() readline() and readlines()
Understanding write functions write() and writelines()
Programming in python

Hands-on:

Creating and Appending Data to Files
Reading and Parsing Text Files
Handling Exceptions During File Operations

Skills You Will Learn:

Reading Files in Python
Writing to Files
Appending Data to Files
Using the open() Function
Working with File Modes
Reading Files Line by Line
Using Context Managers
File Metadata Access

7. OOPS with python

Topics:

Oops concepts with python
Programming using Oops support

Hands-on:

Handling Exceptions in Python
Debugging Try-Except Blocks
Refining Error Messages

Skills You Will Learn:

Object-Oriented Programming Concepts
Instance and Class Variables
Methods and Function Definitions
Operator Overloading
Working with Attributes
Object Lifecycle Management
Designing Class Hierarchies
Exception Handling in OOP
Practical OOP Project Development
Applying OOP in Real-world Scenarios

8. Regular Expression in python

Topics:

Pattern matching and searching in python
Pattern searching using regex in python
Pattern finding programs using regular expression

Hands-on:

Parsing log files with regex
Creating validation scripts for user input
Extracting data patterns from text files

Skills You Will Learn:

Pattern Matching Techniques
Regex Syntax and Symbols
Using re Module in Python
Extracting Text Data
Validating Input Data
Lookahead and Lookbehind
Reusing and Compiling Patterns
Debugging Regular Expressions
Practical Regex Applications
Performance Optimization in Regex
Handling Special Characters

1k+

Satisfied Students

15+

Years of Excellence

95%

Practical Training

Choose Your Perfect Learning Schedule

Flexible batches designed to fit your lifestyle. Select the timing that works best for you.

ON DEMAND

Flexible TimingAvailable

Online / Offline • Flexible time

On-Demand

SOLD OUT

APR5

MON - SUNOnline/Offline

18:00 PM18:00 PM (IST) • Duration: 1.5 months

Everyday

₹7600.00

only

📅 Please select a batch timing to proceed with enrollment

Secure Transaction

211 Users Already Enrolled

First 3 Sessions - 100% Refund

What You'll Learn in Python

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

Introduction to Python

Data Types and Variables

Functions and Modules

Data Structures in Python

File Handling Techniques

Error and Exception Handling

Python Libraries and Packages

Working with APIs

Data Analysis with Pandas

Working with Databases

Automation and Scripting

Testing and Debugging

Python Deployment Strategies

Curriculum Designed by Industry Experts

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

Basics of Python

3 Topics

Data Types in Python

3 Topics

Program Flow Control python

3 Topics

Functions, Modules and Packages in python

5 Topics

Strings and Dictionary Manipulations in python

5 Topics

Free Career Counselling

We're happy to help you 24/7

1. Basics of Python

Topics:

Introduction to Python
Variable declaration in python
Operators in python

Hands-on:

Building Basic Python Programs
Creating Simple Data Structures
Analyzing Python Control Flows

Skills You Will Learn:

Python Syntax and Semantics
Variables and Data Types
Functions and Modules
Lists and Tuples
Input and Output Operations
Debugging and Testing
Basic Data Structures
Coding Best Practices

2. Data Types in Python

Topics:

Introduction to Python
Variable declaration in python
Operators in python

Hands-on:

Creating Data Type Conversions in Python
Building Data Structures with Python Data Types
Analyzing Data Type Compatibility

Skills You Will Learn:

Integer Data Types
Float and Double Types
String Data Types
Boolean Data Types
List Data Types
Type Hints in Python
Type Error Handling
Working with Data Types in Functions
Data Type Best Practices

3. Program Flow Control python

Topics:

Conditional statement: if-elif-else
Looping in python
Implement examples on loops and conditional statements

Hands-on:

Implementing Conditional Statements in Python
Developing Loop-Based Data Processing Scripts
Crafting Exception Handling Modules

Skills You Will Learn:

If-elif-else Logic
For Loops
While Loops
Break and Continue
Nested Control Structures
Logical Operators
Error Handling in Control Flow
Boolean Logic
Ternary Operator
Switch-case Simulation
Flow Control Optimization
Debugging Flow Control
Control Flow Best Practices

4. Functions, Modules and Packages in python

Topics:

Declaration and implementation of functions
Importance of module programming in python
Packages in python
Lambda function declaration and use in python
Programming using functions modules and external packages

Hands-on:

Creating Modular Python Scripts
Implementing Function Libraries
Building Custom Packages

Skills You Will Learn:

Defining Functions in Python
Function Arguments and Parameters
Returning Values from Functions
Understanding Variable Scope
Organizing Code with Packages
Using Built-in Python Modules
Writing Reusable Code
Exploring Standard Library Functions
Debugging Functions and Modules

5. Strings and Dictionary Manipulations in python

Topics:

Building blocks of python programs
String using in build methods
Use of manipulation in build methods
Dictionary manipulation in python
Programming in python

Hands-on:

Parsing and Extracting Data from Text
Developing a Contact Directory Using Dictionaries
Manipulating String Data for Text Analysis

Skills You Will Learn:

String Operations
String Formatting
String Indexing and Slicing
String Methods
String Search and Replace
String Validation Techniques
String Concatenation and Formatting
Dictionary Creation and Initialization
String and Dictionary Error Handling

6. File handling in python

Topics:

Reading config files in python
Writing log files in python
Understanding read functions
read() readline() and readlines()
Understanding write functions write() and writelines()
Programming in python

Hands-on:

Creating and Appending Data to Files
Reading and Parsing Text Files
Handling Exceptions During File Operations

Skills You Will Learn:

Reading Files in Python
Writing to Files
Appending Data to Files
Using the open() Function
Working with File Modes
Reading Files Line by Line
Using Context Managers
File Metadata Access

7. OOPS with python

Topics:

Oops concepts with python
Programming using Oops support

Hands-on:

Handling Exceptions in Python
Debugging Try-Except Blocks
Refining Error Messages

Skills You Will Learn:

Object-Oriented Programming Concepts
Instance and Class Variables
Methods and Function Definitions
Operator Overloading
Working with Attributes
Object Lifecycle Management
Designing Class Hierarchies
Exception Handling in OOP
Practical OOP Project Development
Applying OOP in Real-world Scenarios

8. Regular Expression in python

Topics:

Pattern matching and searching in python
Pattern searching using regex in python
Pattern finding programs using regular expression

Hands-on:

Parsing log files with regex
Creating validation scripts for user input
Extracting data patterns from text files

Skills You Will Learn:

Pattern Matching Techniques
Regex Syntax and Symbols
Using re Module in Python
Extracting Text Data
Validating Input Data
Lookahead and Lookbehind
Reusing and Compiling Patterns
Debugging Regular Expressions
Practical Regex Applications
Performance Optimization in Regex
Handling Special Characters

Why Choose Samyak

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

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

✓ Verified

Career Opportunities

Job roles are being prepared for this course. Please check back later.

Why enroll for Python ?

Unlock your potential with Python

Most Popular Certification

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

Growing Market

The global 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 Python is ₹7,09,000 per year, with an average salary of ₹6,09,000 per year - Glassdoor.

Course Overview: Python

Essential details: objectives, prerequisites, schedule, and outcomes

The Python Certification Training Course aims to equip learners with a strong foundation in Python programming, covering core concepts, data structures, and object-oriented programming. It also focuses on practical skills for developing real-world applications, automating tasks, and preparing for Python certification exams.