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Python Course Syllabus

Python Course Syllabus

Introduction

Our thoughtfully designed python course syllabus includes fundamentals of python programming, its semantics, syntax and unique characteristics. Our Python course syllabus also involves practical exercise and projects through which learners can acquire the skills required to approach and address real-world problems.

Our python course syllabus is formulated in a way that it would perfectly bridge the theoretical and practical demands of the workplace. Our python course syllabus will unlock your true potential and advance your career in the exciting world of python programming.

Our Python course curriculum starts with basic concepts like syntax, data types, modules, control structures, and exception handling and gradually proceeds to advanced topics like generators, cover decorators, multithreading, and asynchronous programming, ensuring a holistic understanding of the language.

Our python course syllabus will present you a great opportunity to open up diverse professional prospects and meet the challenges of the digital era. For more enquiries, ring us at 94449 23025 or visit https://www.ficusoft.in/contact-us/.

Python course syllabus

Module 1 – Introduction to Python

  • Need for programming
  • Advantages of programming
  •  Overview of python
  •  Organizations using python
  •  Python Applications in various domains
  •  Variables
  •  Operands and expressions
  •  Conditional statements
  •  Loops
  • Structural pattern matching

Module 2 – Beginning Python basics

  • The print statement
  •  Comments
  •  Python Data Structures & Data Types
  •  String Operations in Python
  •  Simple Input & Output
  •  Simple Output Formatting
  •  Operators in python

Module 3 – Datatypes and variables

  • Variables
  • Variables v/s identifiers
  • Naming convention of variables
  • Keywords

Module 4 – String

  • Single-quote, double quote and multi-line strings
  •  String Operations (Concatenation, Repetition, Indexing, Slicing, Splitting and joining)

Module 5 – Python Program Flow

  • Indentation
  • The If statement and its’ related statement(assertion)
  • An example with if and it’s related statement(explanation)
  • The while loop
  • The for loop
  • The range statement
  • Break & Continue
  •  Assert
  • Examples for looping

Module 6 – Exceptions Handling

  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception

Module 7 – File Handling

  • File handling Modes
  • Reading Files
  • Writing & Appending to Files
  •  Handling File Exceptions
  • The with statement

Module 8 – Input and output

  • Input function
  • Input with raw_input()
  • Output with old string format
  • Python format function

Module 9 – Classes

  • New Style Classes
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Exception Classes & Custom Exceptions

Module 10 – Errors and Exceptions

  • Syntax Errors
  • Exceptions
  • Handling Exceptions (try, except)
  • Raising Exceptions (raise)
  • Clean-up Actions (try… finally)
  • Else Clause
  • Assert statements

Module 11 – Generators and iterators

  • Iterators
  • Generators
  • With Statement
  • Data Compression

Module 12 – Data Structures

  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts

Module 13 – Database Integration with Python

  • Basics of database management
  •  Python MySql
  •  Create database and table
  •  Insert into table
  •  Select query
  •  Where clause
  •  OrderBy clause
  •  Delete query
  • Drop table
  • Update query
  • Limit clause
  • Join and Self-Join
  • MongoDB (Unstructured)
  • Insert_one query
  • Insert_many query
  • Update_one query
  • Update_many query
  • Create_index query
  • Drop_index query
  • Delete and drop collections
  • Limit query

Conclusion

Designed by industry leaders and professional trainers, our python course syllabus is in line with the norms and requirements of the market. Our Python course syllabus includes real situations, hands-on activities and projects to make things clear and understandable for students.

We often update our python course syllabus to reflect the newest python developments and tools. Our Python course syllabus will certainly speed up your programming career. With our Python course syllabus, you can explore data analysis with libraries like Pandas and Numpy, Flask, and Django.

Our Python course curricuclum includes best coding practices, practical projects, and debugging techniques to equip you with the knowledge and expertise to develop maintainable, scalable, and efficient applications in various domains including data science, AI, and automation. For live updates, please visit https://www.instagram.com/ficusoft_official/.

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At Ficusoft, we provide an excellent python course syllabus that aligns best with your educational objectives.

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