Free Download The Ultimate Python Course 100 Projects + BasicsPublished 1/2026
Created by Coding Fab
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner |
Genre: eLearning |
Language: English |
Duration: 214 Lectures ( 34h 3m ) |
Size: 31.5 GB
Build 100 real-world Python projects step by step to gain practical coding skills.
Build 100 hands-on Python projects across six core areas: Basics, Desktop Apps, Web Apps, Data Analysis, AI/ML, and Automation.
Master Python fundamentals: variables, loops, functions, OOP, error handling, and file management.
Develop real-world applications using Tkinter, and Flask.
Analyze data with NumPy, Pandas, Matplotlib, and Seaborn while building practical visualizations.
Apply machine learning techniques (classification, clustering, NLP, reinforcement learning).
Automate daily tasks with scripts for file handling, email, scraping, and APIs.
RequirementsNo prior coding experience required - we start with Python basics.
DescriptionThe Ultimate Python Course: 100 Projects + Basics is a comprehensive, hands-on course designed to guide us from Python fundamentals to building real-world applications, automation tools, and AI-powered systems.This course follows a structured, step-by-step approach, where each section builds on the previous one and is reinforced through practical projects.Section 1: Introduction & Environment SetupPython IDEs and development toolsVisual Studio Code setup for macOS and WindowsJupyter Notebook and Google Colab setupPython environments and execution basicsThis section ensures we are fully prepared to start coding confidently from day one.Section 2: Python BasicsCore syntax: print, comments, variables, operators, and castingData types and structures: strings, lists, tuples, sets, and dictionariesControl flow: if-else statements, while loops, and for loopsFunctions, classes, and lambda functionsUser input handling and error handling with try-exceptFile handling and working with modulesThese fundamentals are reinforced through many hands-on projects, including calculators, trackers, games, and small utility applications.Section 3: Desktop Applications with TkinterTkinter basics, widgets, layouts, and event handlingDialogs, menus, styling with ttk, and keyboard shortcutsMulti-page applications, data handling, and app packagingWe build practical desktop applications such as notepads, login systems, expense trackers, and inventory managers.Section 4: Web Applications with FlaskFlask setup, routing, and HTTP methodsTemplates with Jinja2 and static filesForms, databases, and error handlingBuilding and deploying real web applicationsProjects include dashboards, authentication systems, APIs, and data-driven web apps.Section 5: Data Analysis with PandasLoading, exploring, cleaning, and analyzing dataFiltering, transforming, and exporting datasetsSection 6: Data Visualization with MatplotlibCore plotting concepts and plot typesCustomizing visuals and controlling axesSection 7: Numerical Computing with NumPyCreating arrays and array operationsIndexing, slicing, broadcasting, and linear algebraSection 8: AI & Machine LearningMachine learning foundations and workflowsRegression, classification, clustering, and reinforcement learningComputer vision, NLP, and model pipelinesReal-world ML projects and demosSection 9: Automation & ScriptingWeb scraping with BeautifulSoupBrowser automation with SeleniumUnit testing, integration testing, and file automationSection 10: Capstone ProjectsEnd-to-end applications combining multiple skillsML-powered apps, automation tools, and real-world systemsFinal course summary and next stepsBy the end of this course, we will have built 100 practical projects, gained strong Python fundamentals, and developed the confidence to build, automate, and deploy real-world applications using Python..
Who this course is forBeginners who want to learn Python through practical, step-by-step projects.
Intermediate learners who want to expand their skills with apps, web development, and data projects.
Students & job seekers who need coding practice for interviews or school assignments.
Professionals & hobbyists who want to automate tasks, analyze data, or experiment with AI.
Anyone curious about Python and looking for a portfolio of real projects to showcase.
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