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Python for Beginners: Learn Python with Hands-on Projects

Name: Python for Beginners: Learn Python with Hands-on Projects
Rating: 4.6 (205 reviews)

Master Python Fundamentals, Web Development, Data Analysis & Automation - Complete Bootcamp with MongoDB, Flask & APIs

Created byDurga Viswanatha Raju Gadiraju

Last updated 7/2024

English

English [Auto],French [Auto],

What you'll learn

In depth coverage of Python collections such as list, tuple, dict, set and basics of file I/O
Exception Handling, Unit Testing, Object Oriented Concepts using Python
Develop Application for File Format Conversion using Python Pandas and improve performance using Multiprocessing
Overview of Software Development Life Cycle
Build Application to send emails using Python libraries such as Sendgrid and PyMongo
Web Scraping using Python libraries such as BeautifulSoup and Scrapy
Build Application to store scraped data in Mongodb using Python libraries such as Scrapy and PyMongo
Develop Web Application using Python Flask
Setup CI/CD Pipeline for Python Flask Application using GitHub Actions
In depth coverage of Git such as branches, pull requests, GitHub Actions
Develop Application to serve REST APIs using Python Flask, SQLAlchemy, etc
Performance Tuning of SQL Queries used by Python Flask Applications
Troubleshooting and Debugging of Python Applications
Developing Python Applications using IDEs such as Visual Studio Code
Reviewing REST APIs using Postman
Using Generative AI Tools such as Chat GPT for Python Application Development
Basics of Python Programming - Conditionals, Loops, Data types, String Manipulation, Date Manipulation, User Defined Functions, etc
Processing JSON Data and REST Payloads using Python
Database Programming using Python and Postgresql
Build Executable Command using Python

Course content

136 sections • 529 lectures • 74h 20m total length

Udemy Introduction for Python for Beginners2:09
Learn Python by building real applications, including web apps and rest API servers, with hands-on projects covering web scraping, database programming (Postgres and MongoDB), and GitHub pipelines.
Details about Python Libraries covered in the course4:00
Explore Python fundamentals and a library-rich toolkit for data processing, web scraping, and web development, including Pandas, Streamlit, requests, Beautifulsoup, Flask, and SQLAlchemy, through hands-on projects.
Additional Tools and Technologies for Python Beginners2:07
Learn how Python pairs with Postgres and MongoDB to build apps using NoSQL concepts. Explore Git, GitHub, VS Code, CI/CD, and Curl and Postman for development and testing.
Python for Beginners - Course Outline4:14
Learn Python basics, data analysis with pandas and dask, and web scraping. Build apps with Flask and PostgreSQL, explore rest APIs, testing, version control, and deployment.
Pre-requisites for Python for Beginners course2:20
Review the prerequisites for Python for beginners, including hardware requirements (8–16 GB RAM, dual-core to quad-core), internet speed, and the ideal audience across students and IT professionals.
Overview of Udemy Interface for Python for Beginners4:54
Navigate the Udemy course interface and master video playback, view modes, speed controls, notes, and Q&A for support, helping you access and review course content and sections.
Overview of ITVersity Support for Python Beginners9:05
Explore how to access and use Udemy's Q&A, notes, and learning tools for Python beginners, including posting questions, selecting lectures, formatting details, sharing screenshots, and seeking timely support.
Using Udemy Notes for Python Beginners4:10
Explore how to use Udemy notes to create, save, edit, and review notes across lectures, including code formatting and highlights, with access to fellow students' notes and Q&A.
Schedule for Part-Time Python for Beginners Students4:49
Learn to use learning tools to schedule part-time study for Python for beginners, setting weekly two-hour slots and notifications, with calendar sync options.
Schedule for Full-Time Python for Beginners Students3:28
Design a full-time study schedule for Python beginners, targeting five days per week, eight hours daily, totaling about 3–4 months, with calendar reminders and optional 8–9 month part-time path.
Ratings and Reviews of Python for Beginners2:20
Provide detailed ratings and reviews for the Python for beginners course, guided by examples of feedback to help other learners, and understand refund and support options.

ntroduction to Windows for Python Beginners1:04
Learn essential Windows basics to run Python for beginners, including using the control panel and task manager, troubleshooting slow systems, managing browsers, and downloading and installing software.
Configuration of Windows Laptop or Desktop5:40
Learn to configure a Windows laptop or desktop by checking edition and version (Windows 11 Pro, 21 H2), memory, CPU cores, and storage using File Explorer and Task Manager.
Overview of Windows Control Panel and checking User Status3:32
Use Windows control panel to manage user accounts, uninstall programs, and adjust clock and region, with guidance on administrator status and when to seek IT support.
Overview of Installing Programs or Softwares on Windows5:20
learn how to install software on Windows using search, download, install, configure, and use steps, illustrated with Chrome and Edge, including locating downloads and future uninstallation.
Uninstall Programs from Windows using Control Panel2:25
Learn to uninstall software from Windows using the control panel, including using administrator permissions and deleting browsing data, with Chrome as a practical example.
Managing Windows Apps and Processes using Task Manager5:03
Open task manager to view apps and background processes, monitor CPU and memory usage, and end resource-heavy programs like Chrome or Edge to boost system performance.
Managing Background Processes using Services4:02
Learn to manage background processes with services, not the task manager's process tab. Use PostgreSQL as an example to review startup types and start or stop services, manual or automatic.
Manage Taskbar on Windows1:26
Pin frequently used apps to the Windows taskbar, unpin others to keep it clean, and launch pinned tools from the desktop while safely deleting unused items.
Important Windows Folders or Directories3:22
Navigate Windows file explorer to access essential folders. Explore desktop, downloads, documents, pictures, and the home folder under C drive users, plus hidden files.
Overview of Organizing Files View on Windows3:27
Navigate the Windows file system using details view to organize files and folders, sort by name or date, enable file name extensions and hidden items, and search efficiently.
Overview of Command Prompt and Powershell4:17
Explore command line interfaces in Windows, including dos prompt (command prompt) and PowerShell, compare similarities and differences, and learn basic navigation, SSH access, dir, and home directory concepts.
Managing Sessions on Windows2:13
Manage Windows sessions on a cloud vm by using the power button to disconnect, shut down, or restart, and secure your session by locking or logging out when unused.
Conclusion to Windows for Python Beginners1:21
Learn to configure Windows, use control panel, manage user status, install or uninstall software with Chrome, and monitor apps and background processes with Task Manager and services to improve performance.

Overview of IDEs and Setup VS Code on Mac and Windows20:51
Explore an overview of IDEs, install VS Code on Mac and Windows, set up the Python extension and interpreter, and learn features like code highlighting, indentation, and debugging.
Quick Preview of VS Code for Development11:01
Explore how to set up and use Visual Studio Code for Python development, including Windows and Mac terminals, explorer, search, replace, source control, and Python extensions.
Usage of VS Code for the lectures8:32
Learn how to use VS Code for Python development, naming files with snake_case, adding topic-based comments, and running code via terminal, run selection, or interactive window.
Overview of Git integration with VS Code4:18
Install Git Bash and integrate it with VS Code for Python projects. Open folders or clone repositories to manage notebooks, data, and docs in your Python for beginners course.
Overview of IDEs and Setup VS Code on Mac and Windows

User Defined Functions in Python22:36
Master user defined functions in Python by learning function syntax, indentation for scope, parameters, return statements, type hints, and practice with sum from lower bound to upper bound.
Solutions for User Defined Functions Exercises3:36
Develop and validate two user-defined Python functions: an add function that takes two integers and returns their sum, and a sum-of-squares function for a single integer, with interactive verification.
User Defined Functions in Python

Conditionals using Python - Part 1.17:29
Master boolean type basics, comparison operators, and Python conditional logic to build reliable conditionals, with emphasis on evaluation order and bracket grouping for if statements.
Conditionals using Python - Part 220:00
Master Python conditionals with if constructs, else and nested if conditions, perform type checks and palindrome logic, and explore the ternary-style expression, plus exercises on numbers and leap year.
Impact of Data Types on Conditionals7:21
Explore how data types impact conditionals in Python, including string vs. integer comparisons, none handling, and type casting with split comma-delimited strings.
Conditionals using Python

Requirements

A Computer with at least 8 GB RAM and Dual Core (16 GB RAM and Quad Core are highly recommended)
As the Python Training will be online and self paced, it requires decent internet speed.
Background of Computer Science or Information Technology or relevant work experience is desired

Description

Learn Python Programming from Scratch - Build 5 Real-World Projects and Master Essential Development Tools

Are you ready to start your Python programming journey? This comprehensive Python course is designed for absolute beginners who want to learn Python through hands-on projects and real-world applications. Whether you're aiming to become a Python developer, data analyst, or automation expert, this course provides everything you need to build practical skills and launch your programming career.

Why Learn Python in 2026?

Python is the most popular programming language in the world, powering applications in web development, data science, machine learning, automation, and artificial intelligence. Learning Python opens doors to high-paying career opportunities across multiple industries. Its simple syntax and powerful libraries make it the ideal first programming language for beginners.

What You'll Learn in This Python Course

Python Fundamentals and Core Concepts:

Data types, variables, loops, conditionals, and functions
File handling and exception management
JSON processing and data manipulation
Object-oriented programming principles
REST APIs and web scraping techniques

Professional Python Libraries and Frameworks:

Pandas and Dask for data analysis and visualization
BeautifulSoup and Scrapy for advanced web scraping
Flask and SQLAlchemy for web development and REST API creation
PyMongo for MongoDB database integration
SendGrid and Requests for automation and API integration

Essential Development Tools Every Python Developer Needs:

SQL and PostgreSQL: Master relational database design, queries, and transactions. Learn SELECT statements, JOINs, and how to build efficient database schemas for production applications.

MongoDB and NoSQL: Work with NoSQL databases for dynamic, scalable applications. Integrate Python with MongoDB using PyMongo for flexible data storage.

Git and GitHub: Master version control with Git commands and collaborate on projects using GitHub. Learn industry-standard workflows for professional development.

API Testing with Postman and cURL: Test and debug REST APIs efficiently. Automate API calls and integrate external services into your Python applications.

VS Code Setup and Configuration: Set up Python development environment in Visual Studio Code. Use extensions for linting, debugging, and code optimization.

5 Hands-On Python Projects to Build Your Portfolio

This Python bootcamp emphasizes learning by doing. You'll build real applications that demonstrate your skills to potential employers:

File Format Converter - Master file handling and data processing
Email Automation Tool - Automate communication workflows with Python
Web Scraper with MongoDB Integration - Collect and store web data efficiently
Full-Stack Web Application with Flask - Build dynamic websites from scratch
REST API Server with SQLAlchemy - Create production-ready API backends

By completing these projects, you'll have a portfolio showcasing your Python programming abilities, database management skills, and full-stack development expertise.

Real-World Skills for Career Success

This Python course goes beyond basic syntax to teach you how to:

Write clean, efficient, and maintainable Python code
Solve real-world business problems using automation and data analysis
Integrate third-party APIs into Python applications
Build and debug web applications with industry-standard tools
Design scalable database architectures for production systems
Use version control for professional development workflows

Who Should Enroll in This Python Course?

Absolute beginners with zero programming experience
Students seeking to learn Python for data science or web development
Working professionals looking to transition into software development
Career changers interested in Python programming jobs
Anyone wanting to build automation tools and data analysis skills
Developers from other languages wanting to learn Python

Why Choose This Python Bootcamp?

Comprehensive Curriculum: Complete coverage from Python basics to advanced concepts including web development, data processing, and automation.

Beginner-Friendly Approach: No prior coding experience required. Step-by-step lessons with clear explanations and practical examples.

Project-Based Learning: Five real-world projects that you can showcase on GitHub and in job applications.

Industry-Standard Tools: Gain hands-on experience with SQL, MongoDB, Git, Flask, and other tools used by professional developers.

Lifetime Access: Learn at your own pace with unlimited access to all course materials, updates, and future content additions.

Practical Focus: Every lesson includes coding exercises and real-world examples that prepare you for actual development work.

What Makes This Course Different?

Unlike theoretical Python courses, this bootcamp focuses on practical application. You'll work with the same tools, libraries, and workflows used by professional Python developers. Each section builds on previous knowledge, ensuring you develop a solid foundation while creating portfolio-worthy projects.

The course covers both fundamental programming concepts and specialized skills in web development, data processing, and automation. You'll learn how to integrate multiple technologies, a crucial skill for modern software development roles.

Start Your Python Programming Career Today

Join thousands of students who have successfully learned Python and launched their programming careers. Whether you're learning Python for career advancement, personal projects, or to break into tech, this course provides the comprehensive training you need.

This Python course combines theory, practice, and real-world application to ensure you're job-ready upon completion. From your first "Hello World" program to deploying full-stack web applications, you'll gain the confidence and skills to succeed as a Python developer.

Ready to Begin Your Python Journey?

Enroll now and transform from complete beginner to confident Python programmer. Start building real applications, master essential development tools, and create a portfolio that stands out to employers. Your Python programming career starts here.

Who this course is for:

College going students who want to learn how to build applications using Python as programming language.
IT Professionals and Aspirants who would like to explore Python for building applications
Developers who want to learn how to build applications using Python as programming language

Python for Beginners: Learn Python with Hands-on Projects

What you'll learn

Explore related topics

Course content

Introduction for Python for Beginners11 lectures • 44min

Understanding Windows for Python Beginners13 lectures • 43min

Setup Python on Mac or Windows1 lecture • 17min

Overview of Strings in Python1 lecture • 15min

Arithmetic Operations using Python1 lecture • 16min

Overview of IDEs and Setup VS Code on Mac and Windows4 lectures • 45min

Overview of Variables and Constants1 lecture • 20min

Overview of String Manipulation Functions in Python1 lecture • 19min

User Defined Functions in Python2 lectures • 26min

Conditionals using Python3 lectures • 45min

Requirements

Description

Who this course is for: