Full Stack Development in Python Course Syllabus

About The Course:  

Python is a high-level, interpreted, and dynamically-typed programming language known for its simplicity, readability, and versatility. Created by Guido van Rossum in the late 1980s, Python has evolved into one of the most popular and widely-used programming languages globally. 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 course features a meticulously crafted curriculum that covers the breadth and depth of the language. From fundamental concepts to advanced topics, you'll navigate a wellstructured learning path that ensures a robust understanding of Python's capabilities. You will gain knowledge on Creating Machine Learning Algorithms using Python to become a good ML engineer or Data Scientist.  Python Training will enable you to work on Python with MySQL/PostgreSQL database Projects to generate Reports and Charts with filters.

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. HTML

1. HTML – Introduction

2. Form Input Types

3. Form Attributes

4. Web Forms Hidden Fields Special Tags Formatting Tags

2. CSS

1. CSS Introduction

2. Styling Backgrounds

3. CSS Box Model

4. Transforms

5. Transitions

3. Bootstrap

1. Layouts in Bootstrap5

2. Typography

3. Forms In Bootstrap5

4. Components in Bootstrap5

5. Bootstrap properties

6. Utilities

4.SQL

1. DBMS introduction

2. SQL introduction

3. SQL introduction

4. QL commands (DDL, DML, DCL, TCL)

5. Constraints

6. Data types in SQL and UDD

7. Variables in SQL

8. System functions

9. Identity

10. Sequence

11. CTE

12. Schemas

13. SQL Joins

14. Subquery

15. SET operations Temp tables

16. Table variables

17. Ranking functions

18. Views

19. Stored procedures

20. MS SQL Training Concepts

21. Functions

22. Triggers

23. Cursors

24. Indexes and statistics

PYTHON

5. Introduction to Python

1. Python programming history & features

2. Python compiler and IDE installation

3. Virtual Environment

4. Pip – Package Manager

6. Basics of Python:

1. Python Syntax Overview, Indentation, comments

2. Variable declaration

3. Datatypes

4. Operators in python

7. Operators in python

1. Conditional Statements

2. if … else statement

3. if … elif… else statement

4. for loop

5. for with else statement

6. while loop

7. while with else statement

8. Control Statements

9. break

10. Continue

11. pass

8. File Handling in Python:

1. File Opening modes

2. Context Manager in python File Operations open create Read

3. Write

4. Update

5. Delete

6. Exception Handling in Python:

7. try … except

8. try … except… finally

9. try … except… else

10. Multiple Exception

11. Raising Exception User-defined Exception

9. Oops in Python:

1. Oops Concepts with programming syntax

2. Class

3. Object

4. Polymorphism

5. Encapsulation

6. Inheritance

10. Core Concepts in Python:

1. Iterator

2. Generator Decorator

11. Comprehension in Python:

1. Comprehensions

2. List

3. Nested List if statement if … else statement Nested if … else statement

4. Dictionary

5. Sorting

6. List

7. Dictionary

12. 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

13. Advanced data Structure/ collections in Python:

1. Deque

2. namedtuple

3. ChainMap

4. Counter

5. Ordered Dictionary

6. Default Dictionary

14. MySQL with Python:

1. SQL statements & Operations

2. Create

3. Read

4. Update

5. Delete

6. Python – SQL connector package installation

7. Python with CRUD Operations

8. Commit & Rollback

9. SQL Related Exception Handling

15. 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

16. 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