Python Fundamentals & Advanced

• This course is open to a wide range of students, professionals, and enthusiasts who want to dive into Python programming. Whether you're a beginner or an experienced developer, you’ll find value in this structured course.
• Beginners: Ideal for those new to programming and Python.
• Intermediate Programmers: Developers looking to solidify their Python skills.
• Professionals: Software engineers and data analysts seeking to enhance their Python knowledge.
• Tech Enthusiasts: Anyone passionate about Python and software development.

• Master Python syntax and language fundamentals.
• Build complex applications using Python's rich libraries.
• Create professional web and networked applications.
• Develop user-friendly graphical interfaces with Tkinter.

1. Introductory Remarks about Python
2. Strengths and Weaknesses
3. A Brief History of Python
4. Python Versions
5. Installing Python
6. Environment Variables
7. Executing Python from the Command Line
8. IDLE
9. Editing Python Files
10. Getting Help 
11. Dynamic Types 
12. Python Reserved Words
13. Naming Conventions.

1. Introduction
2. Basic Syntax
3. Comments
4. String Values
5. String Operations
6. The format Method
7. String Slices
8. String Operators
9. Numeric Data Types 
10. Conversions
11. Simple Input and Output 
12. The print Function.

1. Introduction
2. Control Flow and Syntax
3. Indenting
4. The if Statement
5. Relational Operators
6. Logical Operators
7. True or False
8. Bit Wise Operators
9. The while Loop 
10. break and continue 
11. The for Loop

1. Introduction
2. Lists
3. Tuples
4. Sets
5. Dictionaries
6. Sorting Dictionaries
7. Copying Collections
8. Summary

1. Introduction
2. Defining Your Own Functions
3. Parameters
4. Function Documentation
5. Keyword and Optional Parameters
6. Passing Collections to a Function
7. Variable Number of Arguments
8. Scope
9. Functions - "First Class Citizens" 
10. Passing Functions to a Function 
11. Mapping Functions in a Dictionary 
12. Lambda
13. Closures

1. Modules
2. Standard Modules - sys
3. Standard Modules - math
4. Standard Modules - time
5. The dir Function

1. Errors
2. Run Time Errors
3. The Exception Model
4. Exception Hierarchy
5. Handling Multiple Exceptions
6. raise
7. assert
8. Writing Your Own Exception Classes

1. Introduction
2. Data Streams
3. Creating Your Own Data Streams
4. Access Modes
5. Writing Data to a File
6. Reading Data From a File
7. Additional File Methods
8. Using Pipes as Data Streams
9. Handling IO Exceptions 
10. Working with Directories 
11. Metadata
12. The pickle Module

1. Classes in Python
2. Principles of Object Orientation
3. Creating Classes
4. Instance Methods
5. File Organization
6. Special Methods
7. Class Variables
8. Inheritance
9. Polymorphism 
10. Type Identification
11. Custom Exception Classes 
12. Class Documentation - pydoc

1. Introduction
2. Simple Character Matches
3. Special Characters
4. Character Classes
5. Quantifiers
6. The Dot Character
7. Greedy Matches
8. Grouping
9. Matching at Beginning or End 
10. Match Objects
11. Substituting 
12. Splitting a String
13. Compiling Regular Expressions 
14. Flags

1. Tkinter (Graphical User Interface)
2. Building Your First Python GUI Application With Tkinter
3. Adding a Widget
4. Working With Widgets
5. Displaying Text and Images With Label Widgets
6. Displaying Clickable Buttons With Button Widgets
7. Getting User Input With Entry Widgets
8. Getting Multiline User Input With Text Widgets
9. Assigning Widgets to Frames With Frame Widgets 
10. Adjusting Frame Appearance With Reliefs 
11. Understanding Widget Naming Conventions 
12. Controlling Layout With Geometry Managers 
13. pack() Geometry Manager
14. place() Geometry Manager 
15. grid() Geometry Manager
16. Making Your Applications Interactive
17. Using Events and Event Handlers
18. Using bind

1. Data Frame (Graphical User Interface).
2. Pandas Overview.
3. Adding a Widget and Connect with Other Data Source.
4. Pandas with Html.

1. Create Database - Python MySQL
2. Create Table - Python MySQL
3. Insert Data in Table
4. Select Data from Table
5. Update data in Table
6. Delete data from Table
7. Drop Table from Database
8. WHERE clause - Python MySQL
9. Order By clause - Python MySQL 
10. Limit clause - Python MySQL
11. Table Joins - Python MySQL

1. Server Socket
2. Connecting Client Server
3. Adding Environment Repo.
4. Network Programming with GUI

• Comprehensive Learning: Covers all aspects of Python from basics to advanced techniques.
• Expert Instructors: Learn from experienced Trainers.
• Hands-On Projects: Build projects to apply your knowledge.
• Job-Ready Skills: Prepare for in-demand job roles and boost your career prospects.

Upon completing the course, students will be equipped with advanced Python skills, opening up numerous career paths. Python is one of the most sought-after programming languages across various industries, and this course prepares you for roles such as:

• Python Developer
• Software Engineer
• Backend Developer
• Data Analyst/Scientist
• Full Stack Developer
• Web Developer
• Database Administrator

• There are no strict prerequisites for enrolling in this course. However, having a basic understanding of computer programming concepts can be beneficial.
• Recommended Knowledge: Basic understanding of algorithms, problem-solving, and logical thinking.
• Skills Needed: No prior experience in Python is required; beginners are welcome.