Python

15 Courses – 4.90$ Price

You will get all these 15 courses for just 4.90$

1536 Files  |  106 Folders  |  77.7 GB total space

            439 Files  |  26 Folders  |  3 GB total space

  1. Getting Started
  2. Variables Datatypes and Functions
  3. Dealing with Programming Errors
  4. Conditionals
  5. Loops and User Input
  6. File Handling
  7. More Functionalities
  8. Application 1 Building an Interactive Dictionary
  9. Data Analysis with Pandas
  10. Numpy
  11. Application 2 Creating Webmaps with Python and Folium
  12. Application 3 Building a Website Blocker
  13. Application 4 Building a Website with Python and Flask
  14. Building Graphical User Interfaces with Tkinter
  15. Python for Interacting with SQLite and PostgreSQL Databases
  16. Application 5 Building a Desktop Database Application
  17. Object Oriented Programming
  18. Python for Image and Video Processing with OpenCV
  19. Application 6 Building a Webcam Motion Detector
  20. Python for Interactive Data Visualization on the Browser
  21. Webscraping
  22. Application 7 Scraping Real Estate Property Data from the Web
  23. Application 8 Building a Web-based Financial Graph
  24. Application 9 Building a Data Collector Web App with PostGreSQL and Flask
  25. Application 10 Student Project on Building a Geocoder Web Service

            24 Files  |  5 Folders  |  1.43 GB total space

  1. Introduction
  2. Starter Projects (1 – 10)
  3. Intermediate Projects (11 – 20)
  4. What’s next?

            1743 Files  |  102 Folders  |  19.7 GB total space

  1. Day 1 – Beginner – Working with Variables in Python to Manage Data
  2. Day 2 – Beginner – Understanding Data Types and How to Manipulate Strings
  3. Day 3 – Beginner – Control Flow and Logical Operators
  4. Day 4 – Beginner – Randomisation and Python Lists
  5. Day 5 – Beginner – Python Loops
  6. Day 6 – Beginner – Python Functions & Karel
  7. Day 7 – Beginner – Hangman
  8. Day 8 – Beginner – Function Parameters & Caesar Cipher
  9. Day 9 – Beginner – Dictionaries, Nesting and the Secret Auction
  10. Day 10 – Beginner – Functions with Outputs
  11. Day 11 – Beginner – The Blackjack Capstone Project
  12. Day 12 – Beginner – Scope & Number Guessing Game
  13. Day 13 – Beginner – Debugging How to Find and Fix Errors in your Code
  14. Day 14 – Beginner – Higher Lower Game Project
  15. Day 15 – Intermediate – Local Development Environment Setup & the Coffee Machine
  16. Day 16 – Intermediate – Object Oriented Programming (OOP)
  17. Day 17 – Intermediate – The Quiz Project & the Benefits of OOP
  18. Day 18 – Intermediate – Turtle & the Graphical User Interface (GUI)
  19. Day 19 – Intermediate – Instances, State and Higher Order Functions
  20. Day 20 – Intermediate – Build the Snake Game Part 1 Animation & Coordinates
  21. Day 21 – Intermediate – Build the Snake Game Part 2 Inheritance & List Slicing
  22. Day 22 – Intermediate – Build Pong The Famous Arcade Game
  23. Day 23 – Intermediate – The Turtle Crossing Capstone Project
  24. Day 24 – Intermediate – Files, Directories and Paths
  25. Day 25 – Intermediate – Working with CSV Data and the Pandas Library
  26. Day 26 – Intermediate – List Comprehension and the NATO Alphabet
  27. Day 27 – Intermediate – Tkinter, args, kwargs and Creating GUI Programs
  28. Day 28 – Intermediate – Tkinter, Dynamic Typing and the Pomodoro GUI Application
  29. Day 29 – Intermediate – Building a Password Manager GUI App with Tkinter
  30. Day 30 – Intermediate – Errors, Exceptions and JSON Data Improving the Password
  31. Day 31 – Intermediate – Flash Card App Capstone Project
  32. Day 32 – Intermediate+ Send Email (smtplib) & Manage Dates (datetime)
  33. Day 33 – Intermediate+ API Endpoints & API Parameters – ISS Overhead Notifier
  34. Day 34 – Intermediate+ API Practice – Creating a GUI Quiz App
  35. Day 35 – Intermediate+ Keys, Authentication & Environment Variables Send SMS
  36. Day 36 – Intermediate+ Stock Trading News Alert Project
  37. Day 37 – Intermediate+ Habit Tracking Project API Post Requests & Headers
  38. Day 38 – Intermediate+ Workout Tracking Using Google Sheets
  39. Day 39 – Intermediate+ Capstone Part 1 Flight Deal Finder
  40. Day 40 – Intermediate+ Capstone Part 2 Flight Club
  41. Day 41 – Web Foundation – Introduction to HTML
  42. Day 42 – Web Foundation – Intermediate HTML
  43. Day 43 – Web Foundation – Introduction to CSS
  44. Day 44 – Web Foundation – Intermediate CSS
  45. Day 45 – Intermediate+ Web Scraping with Beautiful Soup
  46. Day 46 – Intermediate+ Create a Spotify Playlist using the Musical Time Machine
  47. Day 47 – Intermediate+ Create an Automated Amazon Price Tracker
  48. Day 48 – Intermediate+ Selenium Webdriver Browser and Game Playing Bot
  49. Day 49 – Intermediate+ Automating Job Applications on LinkedIn
  50. Day 50 – Intermediate+ Auto Tinder Swiping Bot
  51. Day 51 – Intermediate+ Internet Speed Twitter Complaint Bot
  52. Day 52 – Intermediate+ Instagram Follower Bot
  53. Day 53 – Intermediate+ Web Scraping Capstone – Data Entry Job Automation
  54. Day 54 – Intermediate+ Introduction to Web Development with Flask
  55. Day 55 – Intermediate+ HTML & URL Parsing in Flask and the Higher Lower Game
  56. Day 56 – Intermediate+ Rendering HTMLStatic files and Using Website Templates
  57. Day 57 – Intermediate+ Templating with Jinja in Flask Applications
  58. Day 58 – Web Foundation Bootstrap
  59. Day 59 – Advanced – Blog Capstone Project Part 2 – Adding Styling
  60. Day 60 – Advanced – Make POST Requests with Flask and HTML Forms
  61. Day 61 – Advanced – Building Advanced Forms with Flask-WTForms
  62. Day 62 – Advanced – Flask, WTForms, Bootstrap and CSV – Coffee & Wifi Project
  63. Day 63 – Advanced – Databases and with SQLite and SQLAlchemy
  64. Day 64 – Advanced – My Top 10 Movies Website
  65. Day 65 – Web Design School – How to Create a Website that People will Love
  66. Day 66 – Advanced – Building Your Own API with RESTful Routing
  67. Day 67 – Advanced – Blog Capstone Project Part 3 – RESTful Routing
  68. Day 68 – Advanced – Authentication with Flask
  69. Day 69 – Advanced – Blog Capstone Project Part 4 – Adding Users
  70. Day 70 – Advanced – Deploying Your Web Application with Heroku
  71. Day 71 – Advanced – Data Exploration with Pandas College Major v.s. Your Salary
  72. Day 72 – Advanced – Data Visualisation with Matplotlib Programming Languages
  73. Day 73 – Advanced – Aggregate & Merge Data with Pandas Analyse the LEGO Dataset
  74. Day 74 – Advanced – Google Trends Data Resampling and Visualising Time Series
  75. Day 75 – Advanced – Beautiful Plotly Charts & Analysing the Android App Store
  76. Day 76 – Advanced – Computation with NumPy and N-Dimensional Arrays
  77. Day 77 – Advanced – Linear Regression and Data Visualisation with Seaborn
  78. Day 78 – Advanced – Analysing the Nobel Prize with Plotly, Matplotlib & Seaborn
  79. Day 79 – Advanced – The Tragic Discovery of Handwashing t-Tests & Distributions
  80. Day 80 – Advanced – Capstone Project – Predict House Prices
  81. Day 81 – Professional Portfolio Project – [Python Scripting]
  82. Day 82 – Professional Portfolio Project – [Python Web Development]
  83. Day 83 – Professional Portfolio Project – [Python Scripting]
  84. Day 84 – Professional Portfolio Project – [GUI]
  85. Day 85 – Professional Portfolio Project – [GUI]
  86. Day 86 – Professional Portfolio Project – [Game]
  87. Day 87 – Professional Portfolio Project – [Web Development]
  88. Day 88 – Professional Portfolio Project – [Web Development]
  89. Day 89 – Professional Portfolio Project – [GUI Desktop App]
  90. Day 90 – Professional Portfolio Project – [HTTP Requests & APIs]
  91. Day 91 – Professional Portfolio Project – [Image Processing & Data Science]
  92. Day 92 – Professional Portfolio Project – [Web Scraping]
  93. Day 93 – Professional Portfolio Project – [GUI Automation]
  94. Day 94 – Professional Portfolio Project – [Game]
  95. Day 95 – Professional Portfolio Project – [HTTP Requests & APIs]
  96. Day 96 – Professional Portfolio Project – [Web Development]
  97. Day 97 – Professional Portfolio Project – [Python Automation]
  98. Day 98 – Professional Portfolio Project – [Data Science]
  99. Day 99 – Professional Portfolio Project – [Data Science]
  100. Day 100 – Professional Portfolio Project – [Data Science]
  101. Final Stretch

            80 Files  |  23 Folders  |  8.46 GB total space

  1. Course Overview
  2. Python Setup
  3. Python Object and Data Structure Basics
  4. Python Comparison Operators
  5. Python Statements
  6. Methods and Functions
  7. Milestone Project – 1
  8. Object Oriented Programming
  9. Modules and Packages
  10. Errors and Exceptions Handling
  11. Milestone Project – 2
  12. Python Decorators
  13. Python Generators
  14. Advanced Python Modules
  15. Web Scraping with Python
  16. Working with Images with Python
  17. Working with PDFs and Spreadsheet CSV Files
  18. Emails with Python
  19. Final Capstone Python Project
  20. Advanced Python Objects and Data Structures
  21. Bonus Material – Introduction to GUIs
  22. APPENDIX – OLDER PYTHON 2 MATERIAL
  23. BONUS SECTION – THANK YOU!

            45 Files  |  18 Folders  |  3.59 GB total space

  1. Welcome to the Course Let’s Start Coding
  2. Exercises 1 – 8 Strings (Level 1)
  3. Exercises 9 – 16 Strings (Level 2)
  4. Exercises 17 – 24 Lists and Tuples (Level 1)
  5. Exercises 25 – 32 Lists and Tuples (Level 2)
  6. Exercises 33 – 38 Dictionaries (Level 1)
  7. Exercises 39 – 44 Dictionaries (Level 2)
  8. Exercises 45 – 50 Programs with Conditionals (Level 1)
  9. Exercises 51 – 56 Programs with Conditionals (Level 2)
  10. Exercises 57 – 63 For Loops and while Loops (Level 1)
  11. Exercises 64 – 71 For Loops and while Loops (Level 2)
  12. Exercises 72 – 76 Recursion (Level 1)
  13. Exercises 77 – 82 Recursion (Level 2)
  14. Exercises 83 – 87 Working with files (Level 1)
  15. Exercises 88 – 91 Working with files (Level 2)
  16. Exercises 92 – 97 Miscellaneous and more challenging programs (level 1)
  17. Exercises 98 – 101 Miscellaneous and more challenging programs (level 2)
  18. Congratulations You did it!

            281 Files  |  60 Folders  |  12.8 GB total space

  1. Day 1 – App 1️⃣ (Todo List App) #print #variables #functions #lists
  2. Day 2 – App 1️⃣ (Todo List App) #while-loop #methods
  3. Day 3 – App 1️⃣ (Todo List App) #match-case #for-loops
  4. Day 4 – App 1️⃣ (Todo List App) #type-conversion #list-indices #tuples
  5. Day 5 – App 1️⃣ (Todo List App) #enumerate #f-strings
  6. Day 6 -App 1️⃣ (Todo List App) #text-files #text-files #file-paths
  7. Day 7 -App 1️⃣ (Todo List App) #list-comprehensions #comments
  8. Day 8 -App 1️⃣ (Todo List App) #with-context-manager
  9. Day 9, App 1️⃣ (Todo List App) #if #elif #else #slicing #dictionaries
  10. Day 10 App 1️⃣ (Todo List App) #try-except #continue #exceptions
  11. Day 11 – App 1️⃣ (Todo List App) #custom-functions
  12. Day 12 – App 1️⃣ (Todo List App) #arguments #multiple-arguments #decoupling-output
  13. Day 13 – App 1️⃣ (Todo List App) #default-arg #doc-strings #decouple-functions
  14. Day 14 – App 1️⃣ (Todo List App) #local-modules #import
  15. Day 15 – App 1️⃣ (Todo List App) #standard-modules #import #git-introduction
  16. Day 16 – App 1️⃣ (Todo List App – Desktop GUI) #third-party-modules #gui #github
  17. Day 17 – App 1️⃣ (Todo List App – Desktop GUI) #gui-buttons #gui-text-boxes
  18. Day 18 – App 1️⃣ (Todo List App – Desktop GUI) #gui-styles
  19. Day 19 – App 1️⃣ (Todo List App – Web App) #web-apps #streamlit #heroku-deploy
  20. Day 20 – Summary Day #summary #python-basics
  21. Day 21 – App 2️⃣ (Portfolio Website) #streamlit
  22. Day 22 – App 2️⃣ (Portfolio Website) #pandas
  23. Day 23 – App 2️⃣ (Portfolio Website) #email
  24. Day 24 – App 3️⃣ (PDF Generation) #pdf #pandas
  25. Day 25 – App 4️⃣ (Excel Invoices to PDF) #excel #pdf
  26. Day 26 – App 4️⃣ (Excel Invoices to PDF)
  27. Day 27 – App 5️⃣ (News By Email Everyday) #api #email
  28. Day 28 – App 5️⃣ (News By Email Everyday) #schedule-task
  29. Day 29 – App 6️⃣ (Weather API) #api #html #flask
  30. Day 30 – App 6️⃣ (Weather API) #data-analysis #jupyter-lab
  31. Day 31 – App 6️⃣ (Weather API) #advanced-api
  32. Day 32 – App 7️⃣ (Weather Forecast Web App) #streamlit #webapp
  33. Day 33 – App 7️⃣ (Weather Forecast Web App) #data-visualization #plotting #plotly
  34. Day 34 – App 8️⃣ (Book Sentiment Analysis) #regex
  35. Day 35 – App 8️⃣ (Book Sentiment Analysis) #natural-language-processing #nlp
  36. Day 36 – App 9️⃣ (Email Webcam Object Detection) #opencv
  37. Day 37 – App 9️⃣ (Email Webcam Object Detection) #email
  38. Day 38 – App 1️⃣0️⃣ (Web Scraping Music Events) #requests #selectorlib
  39. Day 39 – App 1️⃣0️⃣ (Web Scraping Music Events) #sql-databases
  40. Day 40 Object Oriented Programming #classes #oop
  41. Day 41 – App 1️⃣1️⃣ (Hotel Booking App) #classes #oop
  42. Day 42 – App 1️⃣1️⃣ (Hotel Booking App) #classes #oop
  43. Day 43 – App 1️⃣1️⃣ (Hotel Booking App) #classes-advanced #oop-advanced
  44. Day 44 – App 1️⃣2️⃣ (Super Mario Game Code Inspection) #code-inspection #collaborate
  45. Day 45 – App 1️⃣3️⃣ (SQLite Student Management System GUI with PyQt6) #pyqt6 #gui
  46. Day 46 – App 1️⃣3️⃣ (SQLite Student Management System GUI with PyQt6) #pyqt6 #gui
  47. Day 47 – App 1️⃣3️⃣ (SQLite Student Management System GUI with PyQt6) #toolbars
  48. Day 48 – App 1️⃣4️⃣ (MySQL Student Management System GUI with PyQt6) #mysql
  49. Day 49 – App 1️⃣5️⃣ (ChatGPT OpenAI PyQt6 ChatBot) #chatbot #gpt #ai #openai
  50. Day 50 – App 1️⃣6️⃣ (Flask Job Application Form) #frontend
  51. Day 51 – App 1️⃣6️⃣ (Flask Job Application Form) #backend #database
  52. Day 52 – App 1️⃣7️⃣ (Django Job Application Form) #database #models #views
  53. Day 53 – App 1️⃣7️⃣ (Django Job Application Form) #forms #emails
  54. Day 54 – App 1️⃣7️⃣ (Django Job Application Form) #base-template #admin #navbar
  55. Day 55 – App 1️⃣8️⃣ (Django Restaurant App) #django-setup #database-models
  56. Day 56 – App 1️⃣8️⃣ (Django Restaurant App) #class-views #html #context
  57. Day 57 – App 1️⃣8️⃣ (Django Restaurant App) #admin #frontend
  58. Day 58, 59 – App 1️⃣9️⃣ (Data Science App)
  59. Day 60 – App 2️⃣0️⃣ (Creating a Python Package)
  60. Bonus Exercises

            75 Files  |  19 Folders  |  807 MB total space

  1. Course Introduction
  2. Lab Setup
  3. Programming Basics
  4. Python Basics Intro
  5. Python Operators
  6. Python Loops
  7. Python Condictions
  8. Python Functions
  9. Python Strings
  10. Python Lists
  11. Python Tuples
  12. Python Dictionary
  13. Python Built In Modules
  14. Python Object Oriented Programming
  15. Python Projects
  16. Intro To GUI With PyQt
  17. PyQt Widgets In Details
  18. Qt Designer In Details
  19. Course Review

            78 Files  |  38 Folders  |  4.59 GB total space

  1. Python Intro
  2. Installing Python
  3. Install IDE
  4. Draw a shape
  5. Variables
  6. String
  7. Numbers
  8. Input
  9. Basic Calc
  10. Calc 2
  11. Lists
  12. Lists2
  13. Split and tuples
  14. Functions
  15. Function Return
  16. If Statement
  17. If and comparison
  18. Better Calc
  19. Dictionaries
  20. While
  21. Guessing Game
  22. For Loop
  23. For Loop
  24. For part2
  25. For part3
  26. For Part4
  27. Build a translator
  28. Build A translator part2
  29. Try and except
  30. Reading files
  31. writing files
  32. Creating HTML File
  33. Modules
  34. Class and Object
  35. OOP Class and Object
  36. Object Functions
  37. Class Inheritance
  38. Lambda

            352 Files  |  18 Folders  |  15.8 GB total space

  1. Intro, How to Take the Course, Access Free Python Book & Our First Exercise
  2. [BIA] Level 2 Data Types and Variables
  3. [BIA] Level 3 Python Math (Meaning Operators) and Strings
  4. [BIGA] Level 4 Built in Functions & Creating Basic Functions
  5. [BIGA] Level 5 The List Data Type and the Sum Function
  6. [BIGA] Level 6 Logic and Loops
  7. [BIGA] Level 7 3 More Data Types Tuple, Dictionary and Set
  8. [BIGA] Level 8 Methods and Advanced Strings
  9. [BIGA] Level 9 Object Oriented Programming (OOP) & Classes
  10. [IGA] Level 10 Mastering NumPy (Numerical Python)
  11. [IGA] Level 11 Pandas and Polars
  12. [IGA] Level 12 Data Processing and ETL (Extract, Transform and Load)
  13. [BIGA] Level 13 Writing Clean and Efficient Code
  14. [IGA] Level 14 Using Python in Excel
  15. [GA] Level 15 Mojo
  16. [BIGA] Level 16 All Built-In Python Functions
  17. [BIGA] Level 17 Conclusion, Next Steps and Additional Python Topics
  18. Bonus Materials

         59 Files  |  04 Folders  |  13.4 GB total space

  1. Your Age in Seconds
  2. Price of a Chair
  3. A simple terminal Blog
  4. Our first web application

           208 Files  |  17 Folders  |  11 GB total space

  1. Introduction
  2. Starting Points
  3. Python Syntax
  4. Start Coding with Python
  5. Strings in Python
  6. Lists and for Loop in Python
  7. Slice List
  8. Tuples in Python
  9. If, else Statements
  10. Lists with If, else Statements
  11. if, elif, else Statements
  12. Dictionaries in Python
  13. input () Function in Python
  14. While Loop
  15. Functions
  16. Classes
  17. Class Inheritance

           44 Files  |  01 Folders  |  1.73 GB total space

  • There are total 44 video lectures (44 lessons) in this course

           36 Files  |  07 Folders  |  761 MB total space

  1. String in Python
  2. Day 2 Data Strutures (List – Tuples)
  3. Day 3 Data Strutures (Sets – Dictionaries)
  4. Day 4 Control Flow & Loops
  5. Day 5 Functions & Error Handling
  6. Day 6 Error Handling – Files & Modules
  7. Day 7 Basics Wrap Up & OOP in Python

           61 Files  |  09 Folders  |  1.50 GB total space

  1. Introduction
  2. Software Setup
  3. Python Basics
  4. Control flow
  5. Loops
  6. Data structures in python
  7. Function
  8. Introduction to OOP
  9. Inheritance

           466 Files  |  35 Folders  |  1.13 GB total space

  1. Start Here
  2. Big O
  3. Classes & Pointers
  4. Linked Lists
  5. LL Coding Exercises
  6. LL Interview Leetcode Exercises
  7. Doubly Linked Lists
  8. DLL Coding Exercises
  9. DLL Interview Leetcode Exercises
  10. Stacks & Queues
  11. S & Q Coding Exercises
  12. S & Q Interview Leetcode Exercises
  13. Trees
  14. BST Coding Exercises
  15. Hash Tables
  16. HT Coding Exercises
  17. HT Interview Leetcode Exercises
  18. Graphs
  19. Graph Coding Exercises
  20. Recursion
  21. Recursive Binary Search Trees
  22. rBST Coding Exercises
  23. Basic Sorts
  24. Basic Sorts Coding Exercises
  25. Basic Sorts Interview Leetcode Exercises
  26. Merge Sort
  27. Merge Sort Coding Exercises
  28. Merge Interview Leetcode Exercise
  29. Quick Sort
  30. Quick Sort Coding Exercises
  31. Tree Traversal
  32. BST Traversal Coding Exercises
  33. BST Traversal Interview Leetcode Exercises
  34. Other Interview Leetcode Exercises
  35. Coding Exercises
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