本站已收录 番号和无损神作磁力链接/BT种子 

[FreeCourseSite.com] Udemy - The Complete Python Course Learn Python by Doing

种子简介

种子名称: [FreeCourseSite.com] Udemy - The Complete Python Course Learn Python by Doing
文件类型: 视频
文件数目: 226个文件
文件大小: 4.08 GB
收录时间: 2023-2-5 21:26
已经下载: 3
资源热度: 121
最近下载: 2024-6-4 13:16

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:3b29a3e69ef18a0cededd1bdec0daa5f41476d22&dn=[FreeCourseSite.com] Udemy - The Complete Python Course Learn Python by Doing 复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeCourseSite.com] Udemy - The Complete Python Course Learn Python by Doing.torrent
  • 1. Intro to Python/1. Welcome to this course!.mp412.24MB
  • 1. Intro to Python/10. Python strings and string formatting.mp420.75MB
  • 1. Intro to Python/11. Getting user input in Python.mp419.4MB
  • 1. Intro to Python/15. Boolean and comparisons in Python.mp437.86MB
  • 1. Intro to Python/17. Lists, tuples, and sets in Python.mp424.38MB
  • 1. Intro to Python/18. Advanced set operations.mp413.27MB
  • 1. Intro to Python/2. Overview of the course curriculum.mp47.61MB
  • 1. Intro to Python/22. Python dictionaries.mp413.25MB
  • 1. Intro to Python/24. Calculating the length of lists.mp414.03MB
  • 1. Intro to Python/27. Conclusion of this section.mp43.04MB
  • 1. Intro to Python/3. Introduction to this section.mp44.1MB
  • 1. Intro to Python/4. Our Python coding environment.mp45.13MB
  • 1. Intro to Python/5. Numbers and printing in Python.mp417.61MB
  • 10. Advanced Python Development/1. Introduction to this section.mp45.1MB
  • 10. Advanced Python Development/11. Timezones.mp415.91MB
  • 10. Advanced Python Development/12. Dates and time in Python.mp425.55MB
  • 10. Advanced Python Development/13. Timing your code with Python.mp49.88MB
  • 10. Advanced Python Development/14. Regular expressions.mp415.09MB
  • 10. Advanced Python Development/15. Regex examples.mp457.74MB
  • 10. Advanced Python Development/18. Introduction to logging in Python.mp421.7MB
  • 10. Advanced Python Development/19. Logging to a file and other features.mp49.81MB
  • 10. Advanced Python Development/2. Mutability in Python.mp425.15MB
  • 10. Advanced Python Development/20. Conclusion of this section.mp43.77MB
  • 10. Advanced Python Development/3. Argument mutability in Python.mp416.01MB
  • 10. Advanced Python Development/4. Default values for parameters.mp411.23MB
  • 10. Advanced Python Development/5. Mutable default arguments (bad idea).mp414.47MB
  • 10. Advanced Python Development/6. Argument unpacking in Python.mp417.25MB
  • 10. Advanced Python Development/7. Queues in Python.mp47.05MB
  • 10. Advanced Python Development/8. Some interesting Python collections.mp436.47MB
  • 11. Web Scraping with Python/1. Introduction to this section.mp47.15MB
  • 11. Web Scraping with Python/10. Quotes Project 2 Structuring a scraping app in Python.mp43.94MB
  • 11. Web Scraping with Python/11. Quotes Project 3 Getting our locators.mp413.02MB
  • 11. Web Scraping with Python/12. Quotes Project 4 Crafting our quote parser.mp413.72MB
  • 11. Web Scraping with Python/13. Quotes Project 5 The quotes page.mp47.99MB
  • 11. Web Scraping with Python/14. Quotes Project 6 Recap of the project.mp46.7MB
  • 11. Web Scraping with Python/15. Milestone Project 4 A Book Scraper + application.mp411.77MB
  • 11. Web Scraping with Python/16. Books Project 2 Recap of HTML locators.mp47.43MB
  • 11. Web Scraping with Python/17. Books Project 3 Creating locators in Python.mp46.27MB
  • 11. Web Scraping with Python/18. Books Project 4 Creating our page.mp45.6MB
  • 11. Web Scraping with Python/19. Books Project 5 Creating our book parser.mp431.32MB
  • 11. Web Scraping with Python/20. Books Project 6 Writing our app file.mp410.9MB
  • 11. Web Scraping with Python/21. Books Project 7 Sorting the books.mp421.16MB
  • 11. Web Scraping with Python/22. Books Project 8 Constructing our menu.mp416.06MB
  • 11. Web Scraping with Python/23. ASIDE The best way to write user menus.mp42.85MB
  • 11. Web Scraping with Python/24. Books Project 9 Getting multiple pages.mp47.87MB
  • 11. Web Scraping with Python/25. Books Project 10 Multiple pages in Python.mp413.25MB
  • 11. Web Scraping with Python/26. Books Project 11 Getting the page count in Python.mp421.29MB
  • 11. Web Scraping with Python/27. Books Project 12 Adding logging to our Python project.mp469.89MB
  • 11. Web Scraping with Python/28. A word on scraping pages with JavaScript.mp48.14MB
  • 11. Web Scraping with Python/3. Understanding HTML with BeautifulSoup.mp430.89MB
  • 11. Web Scraping with Python/30. Conclusion of this section.mp43.55MB
  • 11. Web Scraping with Python/4. More complex HTML parsing.mp461.31MB
  • 11. Web Scraping with Python/5. Structuring our parsing program better.mp421.56MB
  • 11. Web Scraping with Python/6. Splitting HTML locators out of our Python class.mp412.12MB
  • 11. Web Scraping with Python/7. Understanding HTML with the browser.mp423.28MB
  • 11. Web Scraping with Python/8. Scraping our first website with Python.mp416.22MB
  • 11. Web Scraping with Python/9. Milestone Project 3 A Quote Scraper.mp412.33MB
  • 12. Asynchronous Python Development/1. Introduction to this section.mp48.12MB
  • 12. Asynchronous Python Development/10. Multiprocessing in Python.mp412.11MB
  • 12. Asynchronous Python Development/11. Using Python concurrent.futures the ProcessPoolExecutor.mp44.16MB
  • 12. Asynchronous Python Development/12. Dealing with shared state in threads.mp412.63MB
  • 12. Asynchronous Python Development/13. Queuing in threads with shared state.mp420.14MB
  • 12. Asynchronous Python Development/14. Using Python generators instead of threads.mp46.73MB
  • 12. Asynchronous Python Development/15. Our first single-threaded task scheduler in Python.mp48.45MB
  • 12. Asynchronous Python Development/16. Yielding from another iterator in Python.mp48.4MB
  • 12. Asynchronous Python Development/17. Receiving data through yield.mp413.69MB
  • 12. Asynchronous Python Development/18. The async and await keywords.mp49.86MB
  • 12. Asynchronous Python Development/19. Watch these talks for more explanations and examples!.mp42.39MB
  • 12. Asynchronous Python Development/20. Our asynchronous scraper.mp413.13MB
  • 12. Asynchronous Python Development/21. Making our first async request in Python.mp422.87MB
  • 12. Asynchronous Python Development/22. Getting multiple pages efficiently.mp417.88MB
  • 12. Asynchronous Python Development/23. Using async_timeout for security.mp43.45MB
  • 12. Asynchronous Python Development/24. Turning our book scraping project async.mp436.85MB
  • 12. Asynchronous Python Development/25. A note on HTTPS with Python and Mac OS X.mp49.26MB
  • 12. Asynchronous Python Development/26. Conclusion of this section.mp45.63MB
  • 12. Asynchronous Python Development/4. The Dining Philosophers Problem.mp49.14MB
  • 12. Asynchronous Python Development/5. Processes and threads.mp410.45MB
  • 12. Asynchronous Python Development/6. The Python GIL.mp412.51MB
  • 12. Asynchronous Python Development/7. Example threads in Python.mp418.39MB
  • 12. Asynchronous Python Development/8. Using Python concurrent.futures the ThreadPoolExecutor.mp45.14MB
  • 12. Asynchronous Python Development/9. Don_t kill threads!.mp42.95MB
  • 13. Python on the console and managing project dependencies/1. Intro to this section.mp44.76MB
  • 13. Python on the console and managing project dependencies/2. Running Python in the console.mp411.35MB
  • 13. Python on the console and managing project dependencies/3. Terminal video running Python.mp48.94MB
  • 13. Python on the console and managing project dependencies/4. Terminal video what is a virtualenv.mp419.8MB
  • 13. Python on the console and managing project dependencies/5. Terminal video navigating the terminal and using virtualenv.mp415.64MB
  • 13. Python on the console and managing project dependencies/6. Terminal video using Pipenv.mp419.33MB
  • 13. Python on the console and managing project dependencies/7. Terminal video Pipenv and virtualenv.mp48.73MB
  • 13. Python on the console and managing project dependencies/9. Conclusion of this section.mp43.16MB
  • 14. Web Development with Flask/1. Intro to this section.mp416.42MB
  • 14. Web Development with Flask/10. Putting our form in a single endpoint.mp45.51MB
  • 14. Web Development with Flask/11. Using Jinja2 for loops to create a nicer homepage.mp411.67MB
  • 14. Web Development with Flask/12. Adding navigation to our website.mp411.86MB
  • 14. Web Development with Flask/13. Conclusion of this section.mp44.54MB
  • 14. Web Development with Flask/2. Setting up our project with Pipenv.mp418.18MB
  • 14. Web Development with Flask/4. Our first Flask endpoint.mp414.97MB
  • 14. Web Development with Flask/5. Returning information with Flask and Python.mp47.28MB
  • 14. Web Development with Flask/6. Rendering HTML with Flask and Python.mp49.73MB
  • 14. Web Development with Flask/7. Error pages and Jinja2 inheritance.mp417.39MB
  • 14. Web Development with Flask/8. Rendering forms with Flask and Python.mp423.8MB
  • 14. Web Development with Flask/9. Accessing POST form data with Flask.mp410.51MB
  • 15. Decorators in Python/1. Introduction to this section.mp44.92MB
  • 15. Decorators in Python/10. Generic decorators for any function.mp46.26MB
  • 15. Decorators in Python/13. Conclusion of this section.mp45.15MB
  • 15. Decorators in Python/2. A simple decorator in Python.mp412.19MB
  • 15. Decorators in Python/5. Using a @syntax.mp47.45MB
  • 15. Decorators in Python/6. Functools wraps in Python.mp44.61MB
  • 15. Decorators in Python/7. Decorating functions with parameters.mp410.75MB
  • 15. Decorators in Python/8. Decorators with parameters.mp420.22MB
  • 15. Decorators in Python/9. Functions that accept multiple arguments.mp410.77MB
  • 16. Advanced Object-Oriented Programming/1. Introduction to this section.mp44.19MB
  • 16. Advanced Object-Oriented Programming/10. The property setter in Python.mp419.04MB
  • 16. Advanced Object-Oriented Programming/12. Conclusion of this section.mp44.26MB
  • 16. Advanced Object-Oriented Programming/2. Intro to multiple inheritance with Python.mp419.97MB
  • 16. Advanced Object-Oriented Programming/5. Intro to ABCs in Python.mp412.07MB
  • 16. Advanced Object-Oriented Programming/6. The usefulness of ABCs.mp45.76MB
  • 16. Advanced Object-Oriented Programming/7. The relationship between ABCs and interfaces.mp410.3MB
  • 17. Algorithms and Data Structures/1. Introduction to this section.mp44.71MB
  • 17. Algorithms and Data Structures/10. How do you delete nodes from a binary tree.mp458.05MB
  • 17. Algorithms and Data Structures/11. Deleting nodes in code with Python.mp4138.04MB
  • 17. Algorithms and Data Structures/12. Deleting nodes with two children in code.mp4216.25MB
  • 17. Algorithms and Data Structures/13. Testing our binary tree!.mp426.72MB
  • 17. Algorithms and Data Structures/14. Conclusion of this section.mp43.03MB
  • 17. Algorithms and Data Structures/2. Presentation queues, stacks, and complexity.mp447.39MB
  • 17. Algorithms and Data Structures/3. Presentation binary search.mp427.54MB
  • 17. Algorithms and Data Structures/4. Presentation binary trees.mp423.51MB
  • 17. Algorithms and Data Structures/5. Presentation traversal of binary trees.mp437.77MB
  • 17. Algorithms and Data Structures/6. Presentation adding elements to a binary tree.mp437.15MB
  • 17. Algorithms and Data Structures/7. Adding elements to a binary tree in Python.mp462.59MB
  • 17. Algorithms and Data Structures/8. Recursion and inorder traversal in Python.mp4110.36MB
  • 17. Algorithms and Data Structures/9. Finding nodes in a tree with Python.mp431.43MB
  • 18. Python libraries/1. Introduction to this section.mp44.62MB
  • 18. Python libraries/2. Python libraries overview.mp435.68MB
  • 18. Python libraries/3. Using pylint.mp481.62MB
  • 18. Python libraries/4. Using yapf.mp443.16MB
  • 18. Python libraries/5. Sending e-mails with smtplib.mp459.15MB
  • 18. Python libraries/6. Sending e-mails with Mailgun.mp475.08MB
  • 18. Python libraries/7. Creating a re-usable Mailgun library.mp447.66MB
  • 18. Python libraries/8. Sneak peek my IDE setup!.mp458.93MB
  • 18. Python libraries/9. Conclusion of this section.mp43.47MB
  • 19. Bonus Section/1. Thank you for taking the course.mp46.45MB
  • 2. Functions and loops in Python/1. Introduction to this section.mp44.08MB
  • 2. Functions and loops in Python/12. List slicing in Python.mp46.81MB
  • 2. Functions and loops in Python/13. List comprehension in Python.mp420.14MB
  • 2. Functions and loops in Python/14. Set and dictionary comprehensions.mp412.94MB
  • 2. Functions and loops in Python/18. Functions, arguments, and parameters in Python.mp432.68MB
  • 2. Functions and loops in Python/19. Functions and return values in Python.mp412.25MB
  • 2. Functions and loops in Python/2. If statements in Python.mp419.44MB
  • 2. Functions and loops in Python/21. Lambda, first-class, and higher order functions in Python.mp415.24MB
  • 2. Functions and loops in Python/23. Conclusion of this section.mp43.04MB
  • 2. Functions and loops in Python/4. While loops in Python.mp411.75MB
  • 2. Functions and loops in Python/7. For loops, range(), and tuple destructuring in Python.mp430.93MB
  • 2. Functions and loops in Python/8. Two important loop keywords + finding prime numbers.mp420.07MB
  • 3. Milestone Project 1/1. Introduction to this section.mp44.04MB
  • 3. Milestone Project 1/10. Showing the user their movies.mp412.4MB
  • 3. Milestone Project 1/11. Finding movies and retrieving their details.mp434.3MB
  • 3. Milestone Project 1/12. Conclusion of this section.mp42.19MB
  • 3. Milestone Project 1/3. Installing Python in your computer.mp46.2MB
  • 3. Milestone Project 1/4. Installing PyCharm in your computer.mp47.46MB
  • 3. Milestone Project 1/5. Creating our first PyCharm project.mp412.89MB
  • 3. Milestone Project 1/6. Setting up PyCharm font and display settings.mp46.36MB
  • 3. Milestone Project 1/8. Coding our application_s menu in Python.mp429.79MB
  • 3. Milestone Project 1/9. Adding new movies to our application.mp424.63MB
  • 4. Object-Oriented Programming with Python/1. Introduction to this section.mp45.17MB
  • 4. Object-Oriented Programming with Python/10. Parameter naming in Python.mp48.3MB
  • 4. Object-Oriented Programming with Python/11. Magic methods in Python.mp428.32MB
  • 4. Object-Oriented Programming with Python/14. Inheritance in Python.mp413.59MB
  • 4. Object-Oriented Programming with Python/15. The @property decorator.mp49.57MB
  • 4. Object-Oriented Programming with Python/17. @classmethod and @staticmethod in Python.mp416.59MB
  • 4. Object-Oriented Programming with Python/18. More @classmethod and @staticmethod examples.mp425.96MB
  • 4. Object-Oriented Programming with Python/2. Intro to Object-Oriented Programming with Python.mp434.54MB
  • 4. Object-Oriented Programming with Python/20. Conclusion of this section.mp43.66MB
  • 4. Object-Oriented Programming with Python/7. More about classes and objects.mp420.44MB
  • 5. Errors in Python/1. Introduction to this section.mp44.44MB
  • 5. Errors in Python/12. Dealing with Python errors.mp422.15MB
  • 5. Errors in Python/14. The on success block and re-raising exceptions.mp428.65MB
  • 5. Errors in Python/16. Handling those pesky user errors!.mp469.67MB
  • 5. Errors in Python/19. Debugging with Pycharm.mp442.45MB
  • 5. Errors in Python/22. Conclusion of this section.mp43.93MB
  • 5. Errors in Python/3. Intro to errors in Python.mp428.06MB
  • 5. Errors in Python/4. Built in errors in Python.mp422.77MB
  • 5. Errors in Python/6. Raising errors in Python.mp427.1MB
  • 5. Errors in Python/9. Creating our own errors in Python.mp429.42MB
  • 6. Files in Python/1. Introduction to this section.mp46.52MB
  • 6. Files in Python/11. Using the with syntax in Python.mp48.33MB
  • 6. Files in Python/12. Importing our own files.mp414.46MB
  • 6. Files in Python/13. Python relative imports children.mp422.62MB
  • 6. Files in Python/16. Python relative imports parents.mp49.15MB
  • 6. Files in Python/17. Import errors and running as a Python script.mp48.94MB
  • 6. Files in Python/19. Conclusion of this section.mp48.14MB
  • 6. Files in Python/3. Files in Python.mp415MB
  • 6. Files in Python/4. Python Exercise copying files.mp433.55MB
  • 6. Files in Python/7. CSV files with Python.mp414.29MB
  • 6. Files in Python/8. JSON files with Python.mp429.79MB
  • 7. Databases in Python _ Milestone Project 2/1. Introduction to this section.mp48.4MB
  • 7. Databases in Python _ Milestone Project 2/10. Some database jargon.mp47.98MB
  • 7. Databases in Python _ Milestone Project 2/11. Creating our books table using Python.mp413.75MB
  • 7. Databases in Python _ Milestone Project 2/12. Inserting books using Python.mp410.64MB
  • 7. Databases in Python _ Milestone Project 2/13. SELECT examples.mp46.72MB
  • 7. Databases in Python _ Milestone Project 2/14. Getting all our books.mp411.64MB
  • 7. Databases in Python _ Milestone Project 2/15. UPDATE and DELETE.mp45.07MB
  • 7. Databases in Python _ Milestone Project 2/16. Filtering with WHERE.mp410.19MB
  • 7. Databases in Python _ Milestone Project 2/17. Finishing the Milestone Project.mp414.72MB
  • 7. Databases in Python _ Milestone Project 2/18. Ordering and limiting.mp45.83MB
  • 7. Databases in Python _ Milestone Project 2/19. Developing our context manager in Python.mp417.81MB
  • 7. Databases in Python _ Milestone Project 2/20. Errors in context managers.mp411.35MB
  • 7. Databases in Python _ Milestone Project 2/22. Conclusion of this section.mp44.8MB
  • 7. Databases in Python _ Milestone Project 2/3. Intro to Milestone Project 2.mp412.27MB
  • 7. Databases in Python _ Milestone Project 2/5. Milestone Project with lists.mp428.54MB
  • 7. Databases in Python _ Milestone Project 2/6. Storing books in files.mp431.63MB
  • 7. Databases in Python _ Milestone Project 2/7. Using JSON instead of CSV.mp418.11MB
  • 7. Databases in Python _ Milestone Project 2/8. Intro to databases with Python.mp412.72MB
  • 7. Databases in Python _ Milestone Project 2/9. Using SQLite in Python.mp45.58MB
  • 8. Type hinting in Python/1. Introduction to this section.mp44.48MB
  • 8. Type hinting in Python/2. Typing in Python.mp423.25MB
  • 8. Type hinting in Python/3. Further reading.mp44.6MB
  • 8. Type hinting in Python/4. Conclusion of this section.mp43.53MB
  • 9. Advanced built-in functions in Python/1. Introduction to this section.mp43.64MB
  • 9. Advanced built-in functions in Python/10. The map() function in Python.mp48.5MB
  • 9. Advanced built-in functions in Python/11. any() and all() in Python.mp47.65MB
  • 9. Advanced built-in functions in Python/12. The enumerate() function.mp46.3MB
  • 9. Advanced built-in functions in Python/16. Conclusion of this section.mp44.25MB
  • 9. Advanced built-in functions in Python/2. Generators in Python.mp416.57MB
  • 9. Advanced built-in functions in Python/5. Python generator classes and iterators.mp411.78MB
  • 9. Advanced built-in functions in Python/8. Iterables in Python.mp418.34MB
  • 9. Advanced built-in functions in Python/9. The filter() function in Python.mp411.66MB