Python Course Syllabus

12-07-2024

About The Course:

Python's elegance, readability, and versatility make it a powerhouse in the programming world. Its widespread adoption across diverse domains, combined with a vibrant community and rich ecosystem, positions Python as a language of choice for developers, data scientists, educators, and businesses alike. Python's ease of use and extensive libraries make it an ideal choice for automation and scripting tasks. It is frequently employed for system administration, network programming, and task automation.

Course Certification:

Our online Python course offers a dynamic learning experience, and upon successful completion, participants receive a distinguished certification, validating their mastery of Python programming. The course comprehensively covers Python fundamentals, advanced programming concepts, and practical application development, ensuring participants acquire a versatile skill set. Engaging in hands-on projects, assessments, and collaborative activities, participants reinforce their learning and gain practical expertise.

1. Introduction to Python

1. Python programming history & features

2. Python compiler and IDE installation

3. Virtual Environment

4. Pip – Package Manager

2.Basics of Python:

1. Python Syntax Overview, Indentation, comments

2. Variable declaration

3. Datatypes

4. Operators in python

3. Operators in python

1. Conditional Statements

2. if statement

3. if … else statement

4. if … elif… else statement Looping for loop for with else statement

5. while loop

6. while with else statement

7. Control Statements

8. break

9. Continue

10. pass

4. File Handling in Python:

1. File Opening modes

2. Context Manager in python

3. File Operations

4. open

5. create

6. Read

7. Write

8. Update

9. Delete

5. Exception Handling in Python:

1. try … except

2. try … except… finally

3. try … except… else

4. Multiple Exception

5. Raising Exception

6. User-defined Exception

6.Oops in Python:

1. Oops Concepts with programming syntax

2. Class

3. Object

4. Polymorphism

5. Encapsulation

6. Inheritance

7. Core Concepts in Python:

1. Iterator

2. Generator Decorator

8.Comprehension in Python:

1. Comprehensions

2. List

3. Nested List

4. if statement

5. if … else statement

6. Nested if … else statement

7. Dictionary

8. Sorting

9. List

10. Dictionary

9. Thread and DateTime in Python:

1. Terms in threading

2. process

3. thread

4. multithreading

5. Time complexity

6. Thread Life cycle

7. Programming with Threading & Multithreading

8. Synchronization

9. Sleep and execution time of code

10. DateTime module

10. Advanced data Structure/ collections in Python:

1. Deque

2. namedtuple

3. ChainMap

4. Counter

5. Ordered Dictionary

6. Default Dictionary

11. MySQL with Python:

1. SQL statements & Operations

2. Create

3. Read

4. Update

5. Delete

6. SQL connector package installation

7. CRUD Operations

8. Commit & Rollback

9. SQL Related Exception Handling

12. Network programming with Python:

1. Terms and Basics of network programming

2. The architecture of data transmission between sender and receiver using python

3. Getting data from the remote server

4. Client & Server-side programming

13. Regular Expression with Python:

1. Regex Syntax

2. Quantifiers

3. Metacharacters

4. Special Sequences

5. Sets

6. Python re module

7. Methods with regex usage

14. GUI programming with Python:

1. Introduction

2. Components and Events

3. An Example GUI

4. Widgets

5. Layout Management

6. Signals & Slots

7. QMessagesBox, QDialog

8. Database Handling