Python Course Syllabus

Here is the list of topics covered in the Python Course Syllabus: Our Python Course Syllabus is designed by an industry expert with over 11 years of experience in development. This Python Course Syllabus covers basic to advanced-level python topics. The core to the Advanced Python Course syllabus is given below.

Core Python (Duration - 24 Hrs)

Module 1: An Introduction to Python (Duration - 2 hrs)

• What can Python do?
• Why Python?
• Good to know
• Python Syntax contrasted(compared) with other programming dialects or languages.
• Python Install

Module 2: Beginning Python Basics (Duration - 3 hrs)

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

Module 3: Python Program Flow (Duration - 3 hrs)

• 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 4: Functions & Modules (Duration - 3 hrs)

• Create your own functions
• Functions Parameters
• Variable Arguments
• Scope of a Function
• Function Documentations
• Lambda Functions & map
• n Exercise with functions
• Create a Module
• Standard Modules

Module 5: Exceptions Handling (Duration - 3 hrs)

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

Also Read: Selenium Course Syllabus

Module 6: File Handling (Duration - 2 hrs)

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

Module 7: Classes In Python (Duration - 4 hrs)

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

Module 8: Generators and iterators (Duration - 2 hrs)

• Iterators
• Generators
• With Statement
• Data Compression

Module 9: Data Structures (Duration - 2 hrs)

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

Module 10: Collections (Duration - 2 hrs)

• namedtuple()
• deque
• ChainMap
• Counter
• OrderedDict
• defaultdict
• UserDict
• UserList
• UserString

Advance Python (Duration Time - 16 hrs)

Module 11: Writing GUIs in Python (Time-Duration) (3 hrs)

• Introduction
• Components and Events
• An Example GUI
• The root Component
• Adding a Button
• Entry Widgets
• Text Widgets
• Check buttons

Module 12: Python SQL Database Access (Duration - 4 hrs)

• Introduction
• Installation
• DB Connection
• Creating DB Table
• INSERT, READ, UPDATE, DELETE operations
• COMMIT & ROLLBACK operation
• handling Errors

Module 13: Network Programming (Duration - 3 hrs)

• Introduction
• A Daytime Server
• Clients and Servers
• The Client Program
• The Server Program

Module 14: Date and Time (Duration - 1 hr)

• sleep
• Program execution time
• more methods on date/time

Module 15: Some similar topics in-detailed (Duration Time - 1 hr)

• Filter
• Map
• Reduce
• Decorators
• Frozen set
• Collections

Module 16: Regular expression (Duration - 1 hr)

• Split
• Working with special characters, dates, emails
• Quantifiers
• Match and find all
• character sequence and substitute
• Search method

Module 17: Threads ESSENTIAL (Duration - 1 hr)

• Class and threads
• Multi-threading
• Synchronization
• Treads Life cycle
• use cases

Module 18:

• Multithreading

Module 19:

• Python JSON

Module 20:

• Python Excel

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