Python for Beginners: Learn Python with Hands-on Projects

Overview

Learn Python from Scratch - Master Python Basics, Data Processing, Web Development and Automation for Beginners What you'll learn:

In depth coverage of Python collections such as list, tuple, dict, set and basics of file I/OException Handling, Unit Testing, Object Oriented Concepts using PythonDevelop Application for File Format Conversion using Python Pandas and improve performance using MultiprocessingOverview of Software Development Life CycleBuild Application to send emails using Python libraries such as Sendgrid and PyMongoWeb Scraping using Python libraries such as BeautifulSoup and ScrapyBuild Application to store scraped data in Mongodb using Python libraries such as Scrapy and PyMongoDevelop Web Application using Python FlaskSetup CI/CD Pipeline for Python Flask Application using GitHub ActionsIn depth coverage of Git such as branches, pull requests, GitHub ActionsDevelop Application to serve REST APIs using Python Flask, SQLAlchemy, etcPerformance Tuning of SQL Queries used by Python Flask ApplicationsTroubleshooting and Debugging of Python ApplicationsDeveloping Python Applications using IDEs such as Visual Studio CodeReviewing REST APIs using PostmanUsing Generative AI Tools such as Chat GPT for Python Application DevelopmentBasics of Python Programming - Conditionals, Loops, Data types, String Manipulation, Date Manipulation, User Defined Functions, etcProcessing JSON Data and REST Payloads using PythonDatabase Programming using Python and PostgresqlBuild Executable Command using Python About This CourseAre you ready to dive into the world of Python? This course is designed for absolute beginners and anyone looking to build practical skills in Python programming.

With a focus on real-world projects, we will guide you step-by-step to master Python fundamentals and essential development tools.Whether your goal is to become a Python developer, data analyst, or automation expert, this course equips you with everything you need to start your journey.Why Python?Python is the most popular programming language in the world, thanks to its simplicity and versatility. It powers applications in web development, data science, automation, and even artificial intelligence (AI).

Learning Python opens doors to exciting career opportunities, whether you’re a student, working professional, or aspiring developer.What Will You Learn?Python Fundamentals:

Data types, variables, loops, conditionals, and functions.File handling, exception management, and JSON processing.Advanced concepts like REST APIs and web scraping.Practical Tools and Libraries:

Pandas and Dask for data analysis and visualization.BeautifulSoup and Scrapy for web scraping.Flask and SQLAlchemy for web development and REST API creation.PyMongo for integrating Python with MongoDB.SendGrid and Requests for automation tasks like sending emails and fetching API data.Essential Development Tools:

SQL (PostgreSQL):

Design and query relational databases.MongoDB:

Work with NoSQL databases for dynamic applications.Git and GitHub:

Version control and collaboration on projects.Postman and cURL:

API testing and integration.VS Code:

Configure and master Python’s best IDE for efficient development.Hands-On Projects to Build Your PortfolioThis course emphasizes learning by doing. You'll apply Python to create:

A file format converter.An email automation tool.A web scraper integrated with MongoDB.A dynamic full-stack web application with Flask.A REST API server using SQLAlchemy and Python.By the end of the course, you'll have built a portfolio of projects that showcase your skills to potential employers.In-Depth Learning with Real-World ApplicationsWe go beyond syntax to teach you how to:

Write clean and efficient Python code.Solve real-world problems using automation and data analysis.Integrate APIs into Python applications.Build and debug web applications with industry-standard tools.Who Should Take This Course?Absolute beginners with no prior programming experience.Students and professionals are eager to learn Python for data science, automation, or web development.Anyone looking to start a career in software development, data analysis, or Python programming?Detailed Overview of Tools You’ll MasterSQL (PostgreSQL):

Master SQL basics like SELECT, JOINs, and transactions.Use PostgreSQL to store and query relational data.Build efficient database schemas for real-world applications.MongoDB:

Explore NoSQL concepts with MongoDB.Learn to integrate Python with MongoDB using PyMongo.Design flexible, scalable databases for dynamic applications.Git and GitHub:

Version control your projects with Git commands.Use GitHub for collaborative development and project hosting.Postman and cURL:

Test and debug REST APIs with Postman.Automate API calls using cURL for faster workflows.VS Code:

Set up and configure Python projects in VS Code.Use extensions to lint, debug, and optimize your Python code.Why This Course?Comprehensive Content:

Covers Python fundamentals, real-world tools, and hands-on projects.Beginner-Friendly:

Designed for learners with no prior coding experience.Practical Focus:

Real-world examples and projects ensure you learn skills that matter.Step-by-Step Guidance:

Easy-to-follow lessons with detailed explanations.What Makes This Course Unique?Real-World Projects:

Build applications that solve practical problems.Portfolio-Ready Skills:

Gain experience with tools like SQL, MongoDB, and Flask.Flexibility:

Learn at your own pace and revisit topics anytime.Engaging Format:

A mix of theory, coding exercises, and projects to keep you motivated.Join Thousands of LearnersThis top-rated Python course has already helped many students start their programming journey.

Whether you're learning Python for a career change or simply to enhance your skills, this course will guide you every step of the way.Ready to Start?Don’t miss your chance to learn Python from scratch, master essential tools, and build hands-on projects. Enroll now and take the first step toward becoming a Python programmer!

Syllabus

• Introduction to Python Programming
Overview of Python and its applications
Setting up the Python development environment
Writing your first Python program
• Python Basics
Understanding variables and data types
Basic input and output operations
Operators and expressions
• Control Flow
Conditional statements (if, elif, else)
Loops (for, while)
Break and continue statements
• Functions
Defining and calling functions
Function arguments and return values
Scope and lifetime of variables
• Data Structures
Lists, tuples, and sets
Dictionaries
Common operations and methods
• Working with Strings
Basic string operations
Formatting strings
Regular expressions and pattern matching
• File Handling
Reading from and writing to files
Working with file paths and directories
Using file context managers
• Exception Handling
Understanding exceptions
Try, except, else, finally blocks
Raising exceptions
• Modules and Packages
Importing modules
Creating and using custom modules
Understanding packages and the Python Package Index (PyPI)
• Introduction to Object-Oriented Programming (OOP)
Defining classes and creating objects
Constructors, methods, and attributes
Inheritance and polymorphism
• Working with External Libraries
Installing and using libraries with pip
Introduction to popular libraries (e.g., NumPy, Pandas, Matplotlib)
• Hands-on Projects
Project 1: Basic calculator
Project 2: Simple text-based game
Project 3: Data analysis with Python
• Final Project and Course Wrap-up
Overview of the final project
Guidance on extending and building larger projects
Summary and next steps in learning Python

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Taught by

Durga Viswanatha Raju Gadiraju, Madhuri Gadiraju, Pratik Kumar, Sathvika Dandu, Sai Varma and Phani Bhushan Bozzam

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Subjects

Programming