Python Projects: Build 25+ Real Applications (Beg to Adv)
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 43m | Size: 256 MB
Master Python from Basics to Expert with 25+ Hands-On Projects
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 43m | Size: 256 MB
Master Python from Basics to Expert with 25+ Hands-On Projects
What you'll learn
Variables, data types (int, float, str, bool), and basic input/output (e.g., input(), print()).
Basic operators (arithmetic, comparison, logical).
Control structures: if statements, for and while loops.
Basic string manipulation (e.g., lower(), upper(), title()).
Lists, tuples, and basic operations (indexing, slicing, appending).
Functions and modular programming (defining, calling, and organizing code).
List comprehensions and generator expressions for efficient data processing.
File handling (reading/writing files, managing history with Path).
Error handling with try/except for robust applications.
Type hints with the typing module for better code readability.
Object-oriented programming (classes, objects, inheritance) for structured projects.
Advanced OOP (polymorphism, encapsulation, abstract classes).
Modules and packages for scalable code organization.
Working with APIs and web scraping (e.g., requests, BeautifulSoup).
Data structures (dictionaries, sets) and their applications.
Performance optimization techniques (e.g., single-pass processing, minimizing memory usage).
Data analysis with NumPy and Pandas.
Regular expressions for advanced string processing.
GUI development (e.g., Tkinter).
Working with libraries (e.g., math, datetime).
Requirements
No prior coding experience needed.
A computer (PC/Mac/Linux) with internet
Curiosity to learn and experiment!
Description
Dive into the world of Python programming with Python Projects: Build 25+ Real Applications (Beg to Adv), a comprehensive course designed to take you from a complete beginner to an expert developer. Whether you're starting with no coding experience or looking to sharpen your advanced skills, this course offers over 25 hands-on projects to build a robust portfolio while mastering Python from the ground up.What You'll Learn:- Basics: Master variables, data types, operators, input/output, control flow (if/else, loops), and foundational data structures (lists, tuples, dictionaries). - Intermediate: Explore functions, modules, list comprehensions, file I/O, exception handling, and object-oriented programming (classes, inheritance). - Advanced: Tackle OOP advanced topics (polymorphism, decorators), multithreading, APIs/web scraping, database integration, data analysis with NumPy/Pandas, and GUI development. Course Highlights: - Build 25+ real-world applications, including a Name Analyzer, calculators, games, and more. - Apply Python best practices with clean, efficient, and documented code. - Gain practical experience with external libraries and tools for professional projects. - Progress at your pace with beginner-friendly explanations and challenging advanced tasks. Who This Course Is For:- Beginners eager to learn Python through practical projects. - Intermediate developers seeking to expand their skills with real applications. - Advanced programmers aiming to refine expertise and build a diverse portfolio. By the end, you'll have a collection of 25+ Python projects to showcase to employers or clients, along with the confidence to tackle any coding challenge. Enroll now and start your journey to Python mastery! Level: Beginner to Advanced Prerequisites: Basic computer skills (no prior coding experience required)
Who this course is for
Complete Beginners: Those new to coding who want to learn Python through hands-on projects.
Intermediate Learners: Developers with some Python experience looking to build practical applications and expand their skills.
Advanced Programmers: Experienced coders aiming to refine expertise, explore advanced topics, and create a diverse project portfolio.
Career Switchers: Individuals seeking to break into tech or boost employability with real-world Python projects.
Hobbyists: Enthusiasts eager to create fun and useful applications for personal growth or sharing.
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