Python for Beginners: Learn Python with Hands-on Projects

Python for Beginners: Learn Python with Hands-on Projects, available at $79.99, has an average rating of 4.61, with 529 lectures, 93 quizzes, based on 92 reviews, and has 1343 subscribers.

You will learn about 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 This course is ideal for individuals who are College going students who want to learn how to build applications using Python as programming language. or IT Professionals and Aspirants who would like to explore Python for building applications or Developers who want to learn how to build applications using Python as programming language It is particularly useful for College going students who want to learn how to build applications using Python as programming language. or IT Professionals and Aspirants who would like to explore Python for building applications or Developers who want to learn how to build applications using Python as programming language.

Enroll now: Python for Beginners: Learn Python with Hands-on Projects

Summary

Title: Python for Beginners: Learn Python with Hands-on Projects

Price: $79.99

Average Rating: 4.61

Number of Lectures: 529

Number of Quizzes: 93

Number of Published Lectures: 529

Number of Published Quizzes: 93

Number of Curriculum Items: 622

Number of Published Curriculum Objects: 622

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

About This Course

Welcome to ‘Python for Beginners: Learn Python with Hands-on Projects’ – a comprehensive introduction to Python, one of the most widely used programming languages in the world. Perfect for beginners, this course combines theory with practical exercises and projects, helping you build a solid understanding while applying your new skills in real-world scenarios.

Why Python?

Python’s simplicity and power have made it the language of choice for many applications. From web development and data science to automation and AI, Python offers immense opportunities for aspiring developers and data professionals. By starting your coding journey with Python, you’re opening the door to a rewarding career.

What Will You Learn?

This course covers Python fundamentals, including data types, variables, functions, conditionals, and loops. You’ll also delve into more advanced topics like file handling, exception handling, JSON data processing, REST APIs, and web scraping.

Through hands-on projects, you’ll get to practice what you’ve learned. Projects include creating a file format converter, building applications to send emails, scraping web pages and populating into Mongodb Database, Full Stack Web Application, developing a REST API server, and more.

Which Python Libraries are covered in the course?

The course covers quite a few important Python libraries from the perspective of building applications.

Pandas and Dask for Data Analysis and Visualization.
Libraries such as requests to consume data from REST Payloads
Sendgrid to send emails
Psycopg2 to interact with the Postgres database and PyMongo to interact with Mongodb
BeautifulSoup and Scrapy to scrape the web pages
Flask and SQLAlchemy to build web applications and REST API Servers. This includes an overview of HTML, Jinja Templating for Dynamic Web Pages, etc.
Modules such as json, csv, multiprocessing, logging, unittest from Python Core or Standard Library.

What other tools and technologies are covered as part of the course?

On top of Python, there are quite a few other tools and technologies are covered in the course.

SQL using Postgres
MongoDB for NoSQL or Document Database
Git CLI and GitHub for code repository and CI/CD Pipeline
Visual Studio Code as IDE for Python application development
Postman and Curl to explore REST APIs

We have not only covered above mentioned tools and technologies but also extensively covered performance tuning and troubleshooting techniques.

Who Should Take This Course?

This course is ideal for individuals with little or no prior programming experience who want to learn Python from scratch. If you’re interested in data manipulation, web development, automation, or just want to understand the world of coding, this course is for you.

What are the Highlights of this Course?

Comprehensive Content: Master Python basics and explore advanced concepts like data manipulation, web development, and automation. Our course content is detailed, easy to understand, and structured for optimal learning.
Hands-on Approach: The course places heavy emphasis on practical learning with numerous quizzes, coding exercises and projects. This hands-on approach helps you understand Python’s real-world applications, improving your problem-solving skills.
Real-world Projects: Engage in real-world projects, including creating a file format converter, building email applications, and developing a REST API server. These projects give you a taste of how Python is used in the industry.
Beginner-friendly: The course is specially designed for beginners. With comprehensive explanations and step-by-step instructions, even those with no prior coding experience can learn Python effectively.
In-depth Learning: Alongside Python programming, you’ll delve into related fields like file handling, JSON data processing, web scraping, Web Application Development, REST API Server Development, and even AI, giving you a well-rounded programming education.

Why This Course?

‘Python for Beginners: Learn Programming with Hands-on Projects’ stands out for its unique blend of theory, quizzes, practical exercises, and projects. All lessons are designed to be engaging and interactive. You’ll get to work on real-world applications of Python, making your learning journey exciting and productive.

How long it will take to complete the course?

The completion time for this Python course largely depends on your existing knowledge, learning pace, and the time you can dedicate. This is a comprehensive Python course aimed at taking you from a beginner to an advanced level in Python programming, with a plethora of topics covered and numerous hands-on projects.

On average, our students take between 240-300 hours to complete this course. This includes time spent watching the lectures, participating in discussions, revising the learned content, and particularly engaging with the exercises and hands-on projects that form a significant part of the course. It’s through these exercises that you’ll truly internalize the knowledge and start thinking like a Python programmer.

Remember, the key to mastering programming is consistent practice, and it’s better to fully understand and digest the course material than to rush through it. Spend time on the exercises, revisit topics if needed, and reach out through the Q&A section if you have questions. Enjoy the learning journey!

Start your Python journey with us today and unlock your potential!

Course Curriculum

Chapter 1: Introduction for Python for Beginners

Lecture 1: Udemy Introduction for Python for Beginners

Lecture 2: Details about Python Libraries covered in the course

Lecture 3: Additional Tools and Technologies for Python Beginners

Lecture 4: Python for Beginners – Course Outline

Lecture 5: Pre-requisites for Python for Beginners course

Lecture 6: Overview of Udemy Interface for Python for Beginners

Lecture 7: Overview of ITVersity Support for Python Beginners

Lecture 8: Using Udemy Notes for Python Beginners

Lecture 9: Schedule for Part-Time Python for Beginners Students

Lecture 10: Schedule for Full-Time Python for Beginners Students

Lecture 11: Ratings and Reviews of Python for Beginners

Chapter 2: Understanding Windows for Python Beginners

Lecture 1: ntroduction to Windows for Python Beginners

Lecture 2: Configuration of Windows Laptop or Desktop

Lecture 3: Overview of Windows Control Panel and checking User Status

Lecture 4: Overview of Installing Programs or Softwares on Windows

Lecture 5: Uninstall Programs from Windows using Control Panel

Lecture 6: Managing Windows Apps and Processes using Task Manager

Lecture 7: Managing Background Processes using Services

Lecture 8: Manage Taskbar on Windows

Lecture 9: Important Windows Folders or Directories

Lecture 10: Overview of Organizing Files View on Windows

Lecture 11: Overview of Command Prompt and Powershell

Lecture 12: Managing Sessions on Windows

Lecture 13: Conclusion to Windows for Python Beginners

Chapter 3: Setup Python on Mac or Windows

Lecture 1: Setup Python on Mac or Windows

Chapter 4: Overview of Strings in Python

Lecture 1: Overview of Strings in Python

Chapter 5: Arithmetic Operations using Python

Lecture 1: Arithmetic Operations using Python

Chapter 6: Overview of IDEs and Setup VS Code on Mac and Windows

Lecture 1: Overview of IDEs and Setup VS Code on Mac and Windows

Lecture 2: Quick Preview of VS Code for Development

Lecture 3: Usage of VS Code for the lectures

Lecture 4: Overview of Git integration with VS Code

Chapter 7: Overview of Variables and Constants

Lecture 1: Overview of Variables and Constants

Chapter 8: Overview of String Manipulation Functions in Python

Lecture 1: Overview of String Manipulation Functions in Python

Chapter 9: User Defined Functions in Python

Lecture 1: User Defined Functions in Python

Lecture 2: Solutions for User Defined Functions Exercises

Chapter 10: Conditionals using Python

Lecture 1: Conditionals using Python – Part 1.

Lecture 2: Conditionals using Python – Part 2

Lecture 3: Impact of Data Types on Conditionals

Chapter 11: Solutions for Exercises on Conditionals

Lecture 1: Solutions for Exercises on Conditionals

Lecture 2: Develop Functions using Conditionals

Chapter 12: Looping using for and while in Python

Lecture 1: Looping using for in Python

Lecture 2: Looping using while in Python

Lecture 3: Solutions for Exercises on Loop Constructs

Chapter 13: Exception Handling in Python

Lecture 1: Exception Handling in Python

Lecture 2: Solution for Exercise related to Fibonacci Numbers

Chapter 14: Solutions for Basic Programming Constructs

Lecture 1: Solution for Exercise related to Prime Numbers

Lecture 2: Solution for Exercise related to Multiplication Table

Chapter 15: Develop First Python Program and Run with Run Time Arguments

Lecture 1: Develop First Python Program

Lecture 2: Run Program with Run Time Arguments

Chapter 16: Overview of Python Modules and Standard Libraries

Lecture 1: Overview of Python Modules and Standard Libraries

Lecture 2: Overview of Notebook Environment

Chapter 17: Overview of Python Core Collections

Lecture 1: Understand the concept of collections

Lecture 2: Overview of Python Core Collections

Lecture 3: Solutions for Exercises related to Overview of Core Collections

Chapter 18: Common Python List Operations

Lecture 1: Common Python List Operations

Lecture 2: Solutions for Exercises on Lists in Python

Chapter 19: Common Python Set Operations

Lecture 1: Common Python Set Operations

Lecture 2: Solutions for Exercises on Sets in Python

Chapter 20: Common Python Tuple Operations

Lecture 1: Common Python Tuple Operations

Lecture 2: Solutions for Exercises on Tuples in Python

Chapter 21: Common Python Dict Operations

Lecture 1: Common Python Dict Operations

Lecture 2: Solutions for Exercises on Dicts in Python

Instructors

Durga Viswanatha Raju Gadiraju
CEO at ITVersity and CTO at Analytiqs, Inc
Madhuri Gadiraju
Pratik Kumar
Sathvika Dandu
Sai Varma
Phani Bhushan Bozzam

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 4 votes
4 stars: 31 votes
5 stars: 54 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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