Python Programming for Beginners to Advanced

Learn Python from scratch to advanced levels. Master programming fundamentals, OOP, data handling, file operations, libraries, and automation with hands-on projects.

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1000+ Students
Beginner Level
46 Classes 15 weeks
India
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Course Description

Python is the most beginner-friendly yet powerful programming language, used in web development, data science, AI, and automation.

This course starts with the basics of Python programming and gradually progresses to advanced topics like object-oriented programming, error handling, working with libraries (NumPy, Pandas), and automation.

Through live mentor-led coding sessions and pre-recorded tutorials, learners will practice coding exercises, build small applications, and complete a capstone project. By the end, students will be confident Python developers, ready for further specialization in fields like AI, Data Science, or Web Development.

Target Audience

  • Beginners learning programming for the first time
  • Students preparing for coding interviews
  • Professionals transitioning to tech careers
  • Developers expanding into Python-based fields

Prerequisites

  • No prior programming knowledge required

Learning Outcomes

By the end of this course, learners will:

  • Write Python scripts with variables, functions, loops, and conditionals
  • Work with strings, lists, dictionaries, and other data structures
  • Apply object-oriented programming (OOP) in Python
  • Handle exceptions and debug applications
  • Work with files, JSON, and external libraries
  • Automate tasks using Python scripts
  • Build real-world projects in automation and data handling

Live Components

  • Weekly live coding workshops
  • Live debugging and error-fixing with mentor
  • Capstone project showcase

Pre-recorded Access

  • Full beginner-to-advanced Python video lessons
  • Downloadable code files & Jupyter notebooks
  • Practice problems and coding challenges
     

Introduction & course overview

Installing Python and PyCharm

Writing first program (Hello World)

Basic operations and mathematical expressions

Strings in Python & input/output operations

Performing operations on strings

Variables and in-place operators

First program in PyCharm IDE

Control structures (if, elif, else)

Lists: introduction, operations, functions

Range function

Code reuse and functions

For loop & while loop

Boolean logic

Functions: arguments, return values, passing functions

Modules introduction

Errors and exceptions

Exception handling & finally block

File handling (reading, writing, appending files)

Dictionaries & dictionary functions

Tuples

Lists: slicing and comprehension

String formatting & string functions

Numeric functions

Functional programming paradigm

Lambda functions, map, filter, generators

OOP basics: classes & objects

Class methods & attributes

Instance attributes & constructors

Implementing methods in OOP

Procedural vs OOP approach

Inheritance, multiple inheritance, multi-level inheritance

Recursion in Python

Sets & Itertools

Operator overloading

Data hiding

Regular expressions (search, find, replace, metacharacters, grouping, classes)

Tkinter GUI programming

  • Frames, grid layout, self-adjusting widgets
  • Handling button clicks, classes in Tkinter
  • Dropdowns, toolbar, status bar, message box
  • Drawing in Tkinter

Building a Calculator app with Tkinter (multi-part)

Introduction to Databases & PostgreSQL

Installing PostgreSQL (Windows & Mac)

Database creation & tables

CRUD operations (create, read, add data, search, list entries)

Virtual environments setup (Windows & Mac)

Installing psycopg2 and connecting database with Python

Building database apps with PostgreSQL

Creating layout, entries, saving data, search functionality

Introduction to data analysis & Anaconda installation

Libraries overview

Importing CSV files & viewing methods

Data cleaning & formatting

Data normalization (1 & 2), binning (1 & 2), value counts

Boxplot & scatterplot

Groupby, Pivot, Heat maps (1 & 2)

ANOVA, correlation (1 & 2)

Regression: simple, multiple, plots, residual/distribution plots

Polynomial regression (1 & 2)

Model evaluation: in-sample, MSE, R² (1 & 2)

Django Framework (Tutorials 1–27)

  • Installation, project & app creation
  • Views, migrations, models, tables, admin panel
  • Templates, rendering, static files, navigation
  • Forms, generic views, namespaces, design touchups

Django 2 (Lectures 1–21) covering same flow for updated version

Flask Framework (Tutorials 1–11)

  • Directory structure, routing, variables, dynamic URLs
  • Templates & passing data
  • Form handling & cookies

REST APIs using Django REST

API basics, endpoints, fields, filtering, search, authentication

Web Crawling with Python (18 parts)

Automation with Selenium

  • Installing & setup, opening URLs, Google search automation
  • Finding elements (XPath), clicking, navigation, scrolling
  • Facebook Auto Poster project

Python Best Practices (5 parts): writing clean, efficient code

Networking in Python with Sockets

  • IP, ports, client, sending messages, buffers, building chat app

Image Processing with OpenCV

  • Reading images, video capture, drawing shapes, manipulating pixels
  • Color spaces, object tracking (images & videos)
  • Thresholding (simple & adaptive), geometric transformations
  • Image blurring, filtering (averaging, Gaussian)

Miscellaneous

  • Django UpdateView, Bootstrap (Parts 1–8)
  • Regular Expressions Revisited (complete meta characters series)

Conclusion

Anushri Mishra

Edtech Mentor and AI Expert !
Instructor Photo
  • 4.5 Instructor Rating
  • 100+ Reviews
  • 200+ Students
  • 10 Courses

I am an educator with 3 year of experience teaching Artificial Intelligence, Coding and Robotics. I specialise in simplifying complex technical concepts, making them engaging and accessible for learners of all backgrounds. My classes blend theory with hands-on projects, helping students understand how AI and robotics shape the world around us. 

Passionate about fostering curiosity and innovation, I am committed to inspiring the next generation of creators and problem-solvers through practical learning and interactive teaching methods.

Educational Qualification - B.Tech - Computer Science Engineering (CSE)

Experience - 3+ Year in Education-Technology Sector.

Amar Deep Rao

Instructor Photo
  • 4 Instructor Rating
  • Good Reviews
  • 5000 Students
  • 900 Courses

Vaseel Ahmad

Robotics Instructor
Instructor Photo
  • 4.5 Instructor Rating
  • 500+ Reviews
  • 1000+ Students
  • 20+ Courses

I am an educator at viLab with experience in teaching Robotics, AI and Coding. I specialize in simplifying complex technical concepts into engaging, hands-on lessons that make learning fun and practical for young learners. My classes emphasize creativity, critical thinking, and real-world problem solving, and I have successfully taught students across Lucknow using Arduino UNO and Pictograph.

Passionate about making technology education exciting and inclusive, I am committed to preparing students to become future-ready through interactive teaching methods and practical projects.

Educational Qualification – Pursuing B.Tech from Bansal Institute of Engineering and Technology, with a focus on coding skills.

Experience – Teaching experience in the field of Robotics and Coding, guiding students in building projects and developing problem-solving abilities.

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What’s Included

Everything you need to know about this course

Lectures
46 Classes
Duration
15 weeks
Level
Beginner
Language
English / Hindi

What you need / Requirement

Audio/Video Essentials
Audio/Video Essentials

Headphone or Speakers for clear audio, Webcam & Microphone.

Software/Tools
Software/Tools

PDF Reader (for notes and study materials).

Internet Connection
Internet Connection

Stable Internet with at least 2 Mbps speed for smooth video streaming and interactive content.

Device
Device

Smartphone, Tablet, Laptop or Desktop Computer.

Your Journey. Your Growth.

A structured path designed to take you from basics to mastery with clarity, confidence, and real-world impact.

01

Beginner

Start with fundamental concepts and build a strong foundation.

02

Intermediate

Expand your knowledge and start building practical projects.

03

Advanced

Dive deeper into specialized areas and master complex techniques.

04

Master

Achieve expert-level proficiency and innovate with your skills.

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Frequently Asked Questions

Everything you need to know about Python Programming for Beginners to Advanced

First‑time programmers, students preparing for interviews, professionals switching careers, and developers expanding into Python‑based roles.

No. The course starts from scratch and gradually builds to intermediate/advanced topics with guided practice.

Yes. You’ll learn NumPy and Pandas for data handling and build automation scripts for common tasks like file operations and simple ETL.

File operations, CSV/JSON workflows, simple web/API interactions, and scheduled scripts for routine processes.

Certificate programs generally issue a completion certificate upon successfully finishing all required modules and assessments; external “certifications” (industry exams) are distinct and may require separate testing with a third party body.

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