Complete Python Guide Basics To Real - World Projects

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Complete Python Guide: Basics To Real-World Projects
Published 1/2025
Created by Selfcode Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 86 Lectures ( 6h 33m ) | Size: 2.71 GB
Master Python programming with hands-on projects. Learn variables, OOP, file handling, APIs, & More Advanced topics.​

What you'll learn
Students will learn to program in Python, starting from the basics and progressing to advanced topics like object-oriented programming and decorators.
Students will learn to build real-world projects, including a to-do list app, a web scraper, and API integration programs.
Students will learn to handle data efficiently using Python's built-in libraries, work with files, and connect to databases like SQLite.
Students will learn to implement advanced concepts such as concurrency, multithreading, and error handling to write efficient and robust Python applications.
Students will learn to design modular code by creating and using custom Python modules and packages.
Students will learn to interact with APIs, parse JSON data, and automate repetitive tasks.
Students will learn to write unit tests and debug Python code to ensure their applications are error-free and maintainable.
Students will learn to create reusable and efficient Python programs using concepts like list comprehensions, generators, and lambda functions.
Requirements
Basic computer literacy, such as navigating files and installing software.
A computer or laptop with an internet connection to download Python and access learning resources.
Familiarity with using a text editor, such as Visual Studio Code, PyCharm, or Jupyter Notebook (basic introduction covered in the course).
No prior programming experience is required-this course is beginner-friendly and ideal for anyone starting their coding journey.
A willingness to learn, practice, and engage with the hands-on projects and quizzes provided throughout the course.
Description
Imagine building your own applications, automating repetitive tasks, or adding real-world projects to your portfolio-all while learning one of the most in-demand skills in tech. Python, a versatile and beginner-friendly programming language, makes this possible, and this course is designed to help you achieve these goals step by step.Whether you're a complete beginner or looking to enhance your programming skills, this course offers a clear path to success. You'll start by mastering the basics of Python, from writing your first program to understanding core concepts like variables, loops, and functions. Each lesson is crafted to simplify complex ideas, ensuring you gain confidence as you progress.The true value of this course lies in its focus on practical, hands-on learning. You'll create projects like a to-do list app, a web scraper, and a Flask-based web application. These projects not only solidify your understanding but also serve as portfolio pieces to showcase your skills to potential employers or clients. Along the way, you'll work on coding challenges and quizzes that reinforce your learning and help you master essential programming concepts.What You'll Learn in Each ModuleThis course is divided into carefully structured modules to ensure a seamless learning experience:Introduction to Python: Learn Python basics, set up your development environment, and write your first Python program.Basic Python Programming: Master variables, data types, input/output functions, and arithmetic operations.Control Flow: Understand conditional statements, loops, and control flow techniques to build interactive programs.Functions: Explore functions, parameters, return statements, and advanced features like lambda functions and decorators.Data Structures: Work with lists, tuples, dictionaries, and sets to handle and manipulate data effectively.Modules and Packages: Learn to import and create modules, and use Python packages to organize your code.File Handling: Read, write, and manage files, including .txt and .csv formats, for efficient data management.Error Handling: Manage exceptions and ensure robust programs using try-except blocks and custom exceptions.Object-Oriented Programming (OOP): Dive into classes, objects, inheritance, polymorphism, and more to design modular code.Working with APIs: Learn to make HTTP requests, parse JSON data, and interact with web APIs.Web Scraping: Use Beautiful Soup and Selenium to gather data from websites and automate browser tasks.Database Handling: Perform CRUD operations using SQLite and learn database integration with Python.Web Development: Build web applications using Flask, templating with Jinja2, and handling user requests.Testing and Debugging: Write test cases using unittest and pytest to debug and optimize your code.Concurrency and Multithreading: Explore multithreading, multiprocessing, and asynchronous programming.Advanced Python Topics: Cover generators, decorators, regular expressions, and type hinting to build efficient programs.By completing this course, you'll gain a well-rounded skill set that opens doors to careers in software development, web development, data analysis, and automation. You'll have the confidence to tackle Python projects of any complexity, automate repetitive tasks, and explore opportunities in freelance or full-time roles.Join today and take the first step toward transforming your ideas into reality with Python!
Who this course is for
Beginners: Individuals with no prior programming experience who want to start their coding journey with Python.
Students and Enthusiasts: School and college students who wish to enhance their skill set and build real-world Python projects.
Aspiring Developers: Those looking to pursue a career in software development, web development, or data analysis using Python.
Professionals: Developers or IT professionals wanting to switch to Python or add it to their skillset for automation, scripting, or data management tasks.
Hobbyists: Tech enthusiasts interested in creating applications, automating tasks, or exploring Python for personal projects.
Freelancers: Freelancers aiming to offer Python-based services such as web scraping, automation, or API integrations to clients.
Intermediate Learners: Programmers with basic coding knowledge in other languages who want to master Python's versatility and advanced concepts.
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