Learning Outcomes
- Understand the fundamentals of Python programming and write efficient Python code.
- Work with Python data types, operators, control statements, and data structures effectively.
- Develop and use Python functions, modules, and packages for modular programming.
- Handle files, exceptions, and errors gracefully in Python applications.
- Implement Object-Oriented Programming concepts including classes, inheritance, polymorphism, and encapsulation.
- Apply advanced Python features such as decorators, generators, context managers, and multithreading.
- Perform networking and GUI programming using Python.
- Integrate Python with databases (MySQL) for real-world applications.
- Use Regular Expressions and Python standard libraries for practical problem-solving.
- Build end-to-end Python projects that incorporate all learned concepts, demonstrating mastery of Python.
Who Should Enroll
- Beginners with no prior programming experience who want to learn Python from scratch.
- Students and professionals aiming to build a strong foundation in Python programming.
- Developers who want to enhance their Python skills for real-world projects.
- Data enthusiasts, engineers, or analysts who want to understand Python for automation or application development.
- Anyone preparing for coding interviews, Python certifications, or transitioning to Python-based roles.
1. Introduction to Python
- Why Learn Python?
- History of Python
- Features of Python
- Applications of Python
- Installing Python & Setting up PATH
- Running Python (Command Prompt, IDLE, Jupyter, VS Code)
- Writing & Executing First Program
2. Python Basics
- Keywords & Identifiers
- Variables & Constants
- Data Types (Numbers, String, List, Tuple, Dictionary, Set)
- Literals
- Type Casting
- Comments
- Command Line Arguments
3. Operators in Python
- Arithmetic Operators
- Comparison Operators
- Assignment Operators
- Logical Operators
- Bitwise Operators
- Membership Operators
- Identity Operators
- Operator Precedence
4. Control Flow
- Indentation in Python
- if, if-else, nested if
- elif (ladder) statement
- Logical Expressions with Conditions
5. Loops in Python
- Need of Loops
- for Loop
- while Loop
- range() Function
- Nested Loops
- Loop Control (break, continue, pass)
6. Strings in Python
- Creating & Accessing Strings
- String Operations
- String Formatting
- Escape Characters
- Triple Quotes & Unicode Strings
- Built-in String Functions & Methods
7. Data Structures
Lists
- Creating & Accessing Lists
- Indexing & Slicing
- Updating & Deleting Lists
- List Comprehensions
- Built-in List Methods
Tuples
- Creating Tuples
- Accessing & Updating Tuples
- Deleting Tuples
- Tuple Functions
Dictionaries
- Creating Dictionaries
- Accessing, Updating, Deleting Items
- Dictionary Methods
Sets
- Creating Sets
- Set Operations (Union, Intersection, Difference)
- Set Methods
8. Functions
- Defining & Calling Functions
- Function Arguments (Default, Keyword, Variable-length)
- return Statement
- Scope of Variables (Local vs Global)
- Recursive Functions
- Anonymous Functions (Lambda)
- map(), filter(), reduce()
9. Modules & Packages
- What is a Module?
- Importing Modules (import, from…import, reload)
- Built-in Modules
- User-defined Modules
- Packages in Python
10. File Handling
- Opening & Closing Files
- File Modes (read, write, append, binary)
- Reading Files (read, readline, readlines)
- Writing Files (write, writelines)
- File Pointers (seek, tell)
- Pickling & Unpickling
- Working with Directories (os module)
11. Exception Handling
- Errors vs Exceptions
- try, except, finally
- Multiple except blocks
- Raising Exceptions
- Built-in Exceptions
- User-defined Exceptions
12. Object-Oriented Programming (OOP)
- Principles of OOP
- Classes & Objects
- Attributes & Methods
- Constructors (init) & Destructors
- Inheritance (Single, Multiple, Multilevel, Hierarchical)
- Method Overriding
- Polymorphism
- Encapsulation & Data Hiding
- Abstract Classes (abc module)
13. Advanced Python Topics
- Iterators & Generators
- Decorators
- Context Managers (with statement)
- Comprehensions (List, Dict, Set)
- Enumerate, Zip, Any, All Functions
14. Multithreading & Multiprocessing
- Introduction to Multithreading
- Creating & Starting Threads
- Synchronization
- Thread Communication
- Introduction to Multiprocessing
15. GUI Programming (Tkinter)
- Introduction to Tkinter
- Tkinter Widgets (Button, Label, Entry, Text)
- Geometry Management (pack, grid, place)
- Event Handling
- Menu & Message Widgets
16. Database Programming (MySQL with Python)
- Introduction to Database Programming
- Connecting to MySQL (mysql.connector)
- Creating Database & Tables
- CRUD Operations (Insert, Read, Update, Delete)
- Transactions & Error Handling
- Closing Database Connections
17. Regular Expressions
- Regex Basics (match, search, findall, sub)
- Special Characters & Patterns
- Quantifiers & Groups
- Practical Examples
18. Python Standard Libraries (Important Modules)
- os & sys
- datetime & time
- math & random
- collections
- itertools
- functools
19. Final Capstone Project
- Plan & Develop an End-to-End Python Project
- Apply All Learned Concepts (OOP, Files, Modules, DB, Exceptions)
- Best Practices in Python Programming
This course is pure Python (basic → advanced) with everything a learner needs to become a strong Python programmer.
Delivery and Features
- Course Mode: Online Instructor-Led Training with live interaction and Q&A.
- Duration: Flexible, self-paced practice combined with live sessions.
- Hands-On Projects: Real-world projects at every stage to reinforce learning.
- Practical Assignments: Regular assignments after each module for practice.
- Learning Resources: Access to Python scripts, project templates, and reference material.
- Support: One-to-one guidance, doubt clearing sessions, and mentorship from instructors.
- Assessment: Quizzes, mini-projects, and a final capstone project to evaluate progress.
- Certificate: Completion certificate demonstrating mastery of Python programming.
Why Learn with Me ?
Hi, I’m Pankaj Chouhan, a software engineer with 10+ years of experience, passionate about helping others master coding and problem-solving. My mission is to bridge the gap between theory and real-world application, making coding simple, engaging, and career-focused.
Hands-On Training – Work on real-world projects to gain practical skills.
Beginner to Pro – Courses for all levels, from first-timers to professionals.
Job-Ready Skills – Learn what tech companies actually look for.
Engaging & Fun – No boring lectures, just interactive, practical learning.
Industry Insights – Stay updated with best coding practices, tips, and trends.
Community Support – Join a thriving community of like-minded learners.
💡 Whether you’re learning your first programming language or sharpening advanced skills, Codes With Pankaj provides a structured, fun, and effective way to succeed.
📌 Start your journey today & build the future with code! 🚀
Why Choose This Course
- Learn Python from basics to advanced with real-world projects.
- Gain hands-on experience through exercises, mini-projects, and a capstone project.
- Learn from expert instructors with one-to-one support.
- Flexible learning with live sessions and self-paced practice.
- Build industry-relevant skills in web, GUI, networking, databases, and advanced Python.
- Receive a completion certificate and career-ready skills.
Enroll now at Codes With Pankaj.