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

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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: 4.12 GB
收录时间: 2021-6-29 16:01
已经下载: 3
资源热度: 135
最近下载: 2024-4-24 19:18

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[FreeCourseSite.com] Udemy - The Complete Python Course Learn Python by Doing.torrent
  • 01 Intro to Python/01-01 Welcome to this course!.mp412.24MB
  • 01 Intro to Python/01-02 Overview of the course curriculum.mp47.61MB
  • 01 Intro to Python/01-03 Introduction to this section.mp44.1MB
  • 01 Intro to Python/01-04 Our Python coding environment.mp45.13MB
  • 01 Intro to Python/01-05 Numbers and printing in Python.mp417.61MB
  • 01 Intro to Python/01-06 Python strings and string formatting.mp420.75MB
  • 01 Intro to Python/01-07 Getting user input in Python.mp419.4MB
  • 01 Intro to Python/01-08 Boolean and comparisons in Python.mp437.85MB
  • 01 Intro to Python/01-09 Lists, tuples, and sets in Python.mp424.37MB
  • 01 Intro to Python/01-10 Advanced set operations.mp413.27MB
  • 01 Intro to Python/01-11 Python dictionaries.mp413.25MB
  • 01 Intro to Python/01-12 Calculating the length of lists.mp414.03MB
  • 01 Intro to Python/01-13 Conclusion of this section.mp43.04MB
  • 02 Functions and loops in Python/02-01 Introduction to this section.mp44.07MB
  • 02 Functions and loops in Python/02-02 If statements in Python.mp419.44MB
  • 02 Functions and loops in Python/02-03 While loops in Python.mp411.75MB
  • 02 Functions and loops in Python/02-04 For loops, range(), and tuple destructuring in Python.mp430.93MB
  • 02 Functions and loops in Python/02-05 Two important loop keywords + finding prime numbers.mp420.07MB
  • 02 Functions and loops in Python/02-06 List slicing in Python.mp46.81MB
  • 02 Functions and loops in Python/02-07 List comprehension in Python.mp420.14MB
  • 02 Functions and loops in Python/02-08 Set and dictionary comprehensions.mp412.94MB
  • 02 Functions and loops in Python/02-09 Functions, arguments, and parameters in Python.mp432.68MB
  • 02 Functions and loops in Python/02-10 Functions and return values in Python.mp412.25MB
  • 02 Functions and loops in Python/02-11 Lambda, first-class, and higher order functions in Python.mp415.24MB
  • 02 Functions and loops in Python/02-12 Conclusion of this section.mp43.04MB
  • 03 Milestone (Project 1)/03-01 Introduction to this section.mp44.04MB
  • 03 Milestone (Project 1)/03-02 Installing Python in your computer.mp46.2MB
  • 03 Milestone (Project 1)/03-03 Installing PyCharm in your computer.mp47.46MB
  • 03 Milestone (Project 1)/03-04 Creating our first PyCharm project.mp412.89MB
  • 03 Milestone (Project 1)/03-05 Setting up PyCharm font and display settings.mp46.36MB
  • 03 Milestone (Project 1)/03-06 Coding our application's menu in Python.mp429.79MB
  • 03 Milestone (Project 1)/03-07 Adding new movies to our application.mp424.63MB
  • 03 Milestone (Project 1)/03-08 Showing the user their movies.mp412.4MB
  • 03 Milestone (Project 1)/03-09 Finding movies and retrieving their details.mp434.29MB
  • 03 Milestone (Project 1)/03-10 Conclusion of this section.mp42.19MB
  • 04 Object-Oriented Programming with Python/04-01 Introduction to this section.mp45.17MB
  • 04 Object-Oriented Programming with Python/04-02 Intro to Object-Oriented Programming with Python.mp434.54MB
  • 04 Object-Oriented Programming with Python/04-03 More about classes and objects.mp420.44MB
  • 04 Object-Oriented Programming with Python/04-04 Parameter naming in Python.mp48.3MB
  • 04 Object-Oriented Programming with Python/04-05 Magic methods in Python.mp428.32MB
  • 04 Object-Oriented Programming with Python/04-06 Inheritance in Python.mp413.59MB
  • 04 Object-Oriented Programming with Python/04-07 The @property decorator.mp49.57MB
  • 04 Object-Oriented Programming with Python/04-08 @classmethod and @staticmethod in Python.mp416.59MB
  • 04 Object-Oriented Programming with Python/04-09 More @classmethod and @staticmethod examples.mp425.96MB
  • 04 Object-Oriented Programming with Python/04-10 Conclusion of this section.mp43.66MB
  • 05 Errors in Python/05-01 Introduction to this section.mp44.44MB
  • 05 Errors in Python/05-02 Intro to errors in Python.mp428.05MB
  • 05 Errors in Python/05-03 Built in errors in Python.mp422.77MB
  • 05 Errors in Python/05-04 Raising errors in Python.mp427.1MB
  • 05 Errors in Python/05-05 Creating our own errors in Python.mp429.42MB
  • 05 Errors in Python/05-06 Dealing with Python errors.mp422.15MB
  • 05 Errors in Python/05-07 The on success block and re-raising exceptions.mp428.65MB
  • 05 Errors in Python/05-08 Handling those pesky user errors!.mp469.67MB
  • 05 Errors in Python/05-09 Debugging with Pycharm.mp442.45MB
  • 05 Errors in Python/05-10 Conclusion of this section.mp43.93MB
  • 06 Files in Python/06-01 Introduction to this section.mp46.52MB
  • 06 Files in Python/06-02 Files in Python.mp415MB
  • 06 Files in Python/06-03 Python Exercise. Copying files.mp433.55MB
  • 06 Files in Python/06-04 CSV files with Python.mp414.29MB
  • 06 Files in Python/06-05 JSON files with Python.mp429.79MB
  • 06 Files in Python/06-06 Using the with syntax in Python.mp48.33MB
  • 06 Files in Python/06-07 Importing our own files.mp414.45MB
  • 06 Files in Python/06-08 Python relative imports. Children.mp422.62MB
  • 06 Files in Python/06-09 Python relative imports. Parents.mp49.15MB
  • 06 Files in Python/06-10 Import errors and running as a Python script.mp48.94MB
  • 06 Files in Python/06-11 Conclusion of this section.mp48.14MB
  • 07 Databases in Python & Milestone (Project 2)/07-01 Introduction to this section.mp48.4MB
  • 07 Databases in Python & Milestone (Project 2)/07-02 Intro to Milestone (Project 2).mp412.27MB
  • 07 Databases in Python & Milestone (Project 2)/07-03 Milestone Project with lists.mp428.54MB
  • 07 Databases in Python & Milestone (Project 2)/07-04 Storing books in files.mp431.63MB
  • 07 Databases in Python & Milestone (Project 2)/07-05 Using JSON instead of CSV.mp418.11MB
  • 07 Databases in Python & Milestone (Project 2)/07-06 Intro to databases with Python.mp412.72MB
  • 07 Databases in Python & Milestone (Project 2)/07-07 Using SQLite in Python.mp45.58MB
  • 07 Databases in Python & Milestone (Project 2)/07-08 Some database jargon.mp47.98MB
  • 07 Databases in Python & Milestone (Project 2)/07-09 Creating our books table using Python.mp413.75MB
  • 07 Databases in Python & Milestone (Project 2)/07-10 Inserting books using Python.mp410.63MB
  • 07 Databases in Python & Milestone (Project 2)/07-11 SELECT examples.mp46.72MB
  • 07 Databases in Python & Milestone (Project 2)/07-12 Getting all our books.mp411.64MB
  • 07 Databases in Python & Milestone (Project 2)/07-13 UPDATE and DELETE.mp45.07MB
  • 07 Databases in Python & Milestone (Project 2)/07-14 Filtering with WHERE.mp410.19MB
  • 07 Databases in Python & Milestone (Project 2)/07-15 Finishing the Milestone Project.mp414.72MB
  • 07 Databases in Python & Milestone (Project 2)/07-16 Ordering and limiting.mp45.83MB
  • 07 Databases in Python & Milestone (Project 2)/07-17 Developing our context manager in Python.mp417.81MB
  • 07 Databases in Python & Milestone (Project 2)/07-18 Errors in context managers.mp411.35MB
  • 07 Databases in Python & Milestone (Project 2)/07-19 Conclusion of this section.mp44.8MB
  • 08 Type hinting in Python/08-01 Introduction to this section.mp44.48MB
  • 08 Type hinting in Python/08-02 Typing in Python.mp423.25MB
  • 08 Type hinting in Python/08-03 Further reading.mp44.6MB
  • 08 Type hinting in Python/08-04 Conclusion of this section.mp43.53MB
  • 09 Advanced built-in functions in Python/09-01 Introduction to this section.mp43.64MB
  • 09 Advanced built-in functions in Python/09-02 Generators in Python.mp416.57MB
  • 09 Advanced built-in functions in Python/09-03 Python generator classes and iterators.mp411.78MB
  • 09 Advanced built-in functions in Python/09-04 Iterables in Python.mp418.34MB
  • 09 Advanced built-in functions in Python/09-05 The filter() function in Python.mp411.66MB
  • 09 Advanced built-in functions in Python/09-06 The map() function in Python.mp48.5MB
  • 09 Advanced built-in functions in Python/09-07 any() and all() in Python.mp47.65MB
  • 09 Advanced built-in functions in Python/09-08 The enumerate() function.mp46.3MB
  • 09 Advanced built-in functions in Python/09-09 Conclusion of this section.mp44.25MB
  • 10 Advanced Python Development/10-01 Introduction to this section.mp45.1MB
  • 10 Advanced Python Development/10-02 Mutability in Python.mp425.15MB
  • 10 Advanced Python Development/10-03 Argument mutability in Python.mp416.01MB
  • 10 Advanced Python Development/10-04 Default values for parameters.mp411.22MB
  • 10 Advanced Python Development/10-05 Mutable default arguments (bad idea).mp414.47MB
  • 10 Advanced Python Development/10-06 Argument unpacking in Python.mp417.25MB
  • 10 Advanced Python Development/10-07 Queues in Python.mp47.05MB
  • 10 Advanced Python Development/10-08 Some interesting Python collections.mp436.47MB
  • 10 Advanced Python Development/10-09 Timezones.mp415.91MB
  • 10 Advanced Python Development/10-10 Dates and time in Python.mp425.55MB
  • 10 Advanced Python Development/10-11 Timing your code with Python.mp455.76MB
  • 10 Advanced Python Development/10-12 Regular expressions.mp415.09MB
  • 10 Advanced Python Development/10-13 Regex examples.mp457.74MB
  • 10 Advanced Python Development/10-14 Introduction to logging in Python.mp421.7MB
  • 10 Advanced Python Development/10-15 Logging to a file and other features.mp49.81MB
  • 10 Advanced Python Development/10-16 Conclusion of this section.mp43.77MB
  • 11 Web Scraping with Python/11-01 Introduction to this section.mp47.15MB
  • 11 Web Scraping with Python/11-02 Understanding HTML with BeautifulSoup.mp430.89MB
  • 11 Web Scraping with Python/11-03 More complex HTML parsing.mp461.31MB
  • 11 Web Scraping with Python/11-04 Structuring our parsing program better.mp421.56MB
  • 11 Web Scraping with Python/11-05 Splitting HTML locators out of our Python class.mp412.12MB
  • 11 Web Scraping with Python/11-06 Understanding HTML with the browser.mp423.28MB
  • 11 Web Scraping with Python/11-07 Scraping our first website with Python.mp416.22MB
  • 11 Web Scraping with Python/11-08 Milestone Project 3. A Quote Scraper.mp412.33MB
  • 11 Web Scraping with Python/11-09 Quotes Project 2. Structuring a scraping app in Python.mp43.94MB
  • 11 Web Scraping with Python/11-10 Quotes Project 3. Getting our locators.mp413.02MB
  • 11 Web Scraping with Python/11-11 Quotes Project 4. Crafting our quote parser.mp413.72MB
  • 11 Web Scraping with Python/11-12 Quotes Project 5. The quotes page.mp47.99MB
  • 11 Web Scraping with Python/11-13 Quotes Project 6. Recap of the project.mp46.7MB
  • 11 Web Scraping with Python/11-14 Milestone Project 4. A Book Scraper + application.mp411.77MB
  • 11 Web Scraping with Python/11-15 Books Project 2. Recap of HTML locators.mp47.43MB
  • 11 Web Scraping with Python/11-16 Books Project 3. Creating locators in Python.mp46.27MB
  • 11 Web Scraping with Python/11-17 Books Project 4. Creating our page.mp45.6MB
  • 11 Web Scraping with Python/11-18 Books Project 5. Creating our book parser.mp431.32MB
  • 11 Web Scraping with Python/11-19 Books Project 6. Writing our app file.mp410.9MB
  • 11 Web Scraping with Python/11-20 Books Project 7. Sorting the books.mp421.15MB
  • 11 Web Scraping with Python/11-21 Books Project 8. Constructing our menu.mp416.05MB
  • 11 Web Scraping with Python/11-22 ASIDE. The best way to write user menus.mp42.85MB
  • 11 Web Scraping with Python/11-23 Books Project 9. Getting multiple pages.mp47.86MB
  • 11 Web Scraping with Python/11-24 Books Project 10. Multiple pages in Python.mp413.24MB
  • 11 Web Scraping with Python/11-25 Books Project 11. Getting the page count in Python.mp421.28MB
  • 11 Web Scraping with Python/11-26 Books Project 12. Adding logging to our Python project.mp469.88MB
  • 11 Web Scraping with Python/11-27 A word on scraping pages with JavaScript.mp48.14MB
  • 11 Web Scraping with Python/11-28 Conclusion of this section.mp43.55MB
  • 12 Asynchronous Python Development/12-01 Introduction to this section.mp48.11MB
  • 12 Asynchronous Python Development/12-02 The Dining Philosophers Problem.mp49.13MB
  • 12 Asynchronous Python Development/12-03 Processes and threads.mp410.45MB
  • 12 Asynchronous Python Development/12-04 The Python GIL.mp412.51MB
  • 12 Asynchronous Python Development/12-05 Example. Threads in Python.mp418.38MB
  • 12 Asynchronous Python Development/12-06 Using Python concurrent.futures. The ThreadPoolExecutor.mp45.14MB
  • 12 Asynchronous Python Development/12-07 Don't kill threads!.mp42.95MB
  • 12 Asynchronous Python Development/12-08 Multiprocessing in Python.mp412.11MB
  • 12 Asynchronous Python Development/12-09 Using Python concurrent.futures. The ProcessPoolExecutor.mp44.15MB
  • 12 Asynchronous Python Development/12-10 Dealing with shared state in threads.mp412.63MB
  • 12 Asynchronous Python Development/12-11 Queuing in threads with shared state.mp420.14MB
  • 12 Asynchronous Python Development/12-12 Using Python generators instead of threads.mp46.73MB
  • 12 Asynchronous Python Development/12-13 Our first single-threaded task scheduler in Python.mp48.44MB
  • 12 Asynchronous Python Development/12-14 Yielding from another iterator in Python.mp48.4MB
  • 12 Asynchronous Python Development/12-15 Receiving data through yield.mp413.69MB
  • 12 Asynchronous Python Development/12-16 The async and await keywords.mp49.86MB
  • 12 Asynchronous Python Development/12-17 Watch these talks for more explanations and examples!.mp42.39MB
  • 12 Asynchronous Python Development/12-18 Our asynchronous scraper.mp413.13MB
  • 12 Asynchronous Python Development/12-19 Making our first async request in Python.mp422.87MB
  • 12 Asynchronous Python Development/12-20 Getting multiple pages efficiently.mp417.88MB
  • 12 Asynchronous Python Development/12-21 Using async_timeout for security.mp43.44MB
  • 12 Asynchronous Python Development/12-22 Turning our book scraping project async.mp436.85MB
  • 12 Asynchronous Python Development/12-23 A note on HTTPS with Python and Mac OS X.mp49.26MB
  • 12 Asynchronous Python Development/12-24 Conclusion of this section.mp45.63MB
  • 13 Python on the console and managing project dependencies/13-01 Intro to this section.mp44.76MB
  • 13 Python on the console and managing project dependencies/13-02 Running Python in the console.mp411.35MB
  • 13 Python on the console and managing project dependencies/13-03 Terminal video. Running Python.mp48.94MB
  • 13 Python on the console and managing project dependencies/13-04 Terminal video. What is a virtualenv.mp419.8MB
  • 13 Python on the console and managing project dependencies/13-05 Terminal video. Navigating the terminal and using virtualenv.mp415.64MB
  • 13 Python on the console and managing project dependencies/13-06 Terminal video. Using Pipenv.mp419.33MB
  • 13 Python on the console and managing project dependencies/13-07 Terminal video. Pipenv and virtualenv.mp48.73MB
  • 13 Python on the console and managing project dependencies/13-08 Conclusion of this section.mp43.16MB
  • 14 Web Development with Flask/14-01 Intro to this section.mp416.42MB
  • 14 Web Development with Flask/14-02 Setting up our project with Pipenv.mp418.18MB
  • 14 Web Development with Flask/14-03 Our first Flask endpoint.mp414.97MB
  • 14 Web Development with Flask/14-04 Returning information with Flask and Python.mp47.28MB
  • 14 Web Development with Flask/14-05 Rendering HTML with Flask and Python.mp49.73MB
  • 14 Web Development with Flask/14-06 Error pages and Jinja2 inheritance.mp417.39MB
  • 14 Web Development with Flask/14-07 Rendering forms with Flask and Python.mp423.8MB
  • 14 Web Development with Flask/14-08 Accessing POST form data with Flask.mp410.51MB
  • 14 Web Development with Flask/14-09 Putting our form in a single endpoint.mp45.51MB
  • 14 Web Development with Flask/14-10 Using Jinja2 for loops to create a nicer homepage.mp411.67MB
  • 14 Web Development with Flask/14-11 Adding navigation to our website.mp411.86MB
  • 14 Web Development with Flask/14-12 Conclusion of this section.mp44.54MB
  • 15 Decorators in Python/15-01 Introduction to this section.mp44.91MB
  • 15 Decorators in Python/15-02 A simple decorator in Python.mp412.19MB
  • 15 Decorators in Python/15-03 Using a @syntax.mp47.45MB
  • 15 Decorators in Python/15-04 Functools wraps in Python.mp44.61MB
  • 15 Decorators in Python/15-05 Decorating functions with parameters.mp410.75MB
  • 15 Decorators in Python/15-06 Decorators with parameters.mp420.21MB
  • 15 Decorators in Python/15-07 Functions that accept multiple arguments.mp410.77MB
  • 15 Decorators in Python/15-08 Generic decorators for any function.mp46.26MB
  • 15 Decorators in Python/15-09 Conclusion of this section.mp45.15MB
  • 16 Advanced Object-Oriented Programming/16-01 Introduction to this section.mp44.19MB
  • 16 Advanced Object-Oriented Programming/16-02 Intro to multiple inheritance with Python.mp419.97MB
  • 16 Advanced Object-Oriented Programming/16-03 Intro to ABCs in Python.mp412.07MB
  • 16 Advanced Object-Oriented Programming/16-04 The usefulness of ABCs.mp45.76MB
  • 16 Advanced Object-Oriented Programming/16-05 The relationship between ABCs and interfaces.mp410.3MB
  • 16 Advanced Object-Oriented Programming/16-06 The property setter in Python.mp419.04MB
  • 16 Advanced Object-Oriented Programming/16-07 Conclusion of this section.mp44.26MB
  • 17 Algorithms and Data Structures/17-01 Introduction to this section.mp44.71MB
  • 17 Algorithms and Data Structures/17-02 Presentation. Queues, stacks, and complexity.mp447.39MB
  • 17 Algorithms and Data Structures/17-03 Presentation. Binary search.mp427.54MB
  • 17 Algorithms and Data Structures/17-04 Presentation. Binary trees.mp423.51MB
  • 17 Algorithms and Data Structures/17-05 Presentation. Traversal of binary trees.mp437.77MB
  • 17 Algorithms and Data Structures/17-06 Presentation. Adding elements to a binary tree.mp437.15MB
  • 17 Algorithms and Data Structures/17-07 Adding elements to a binary tree in Python.mp462.59MB
  • 17 Algorithms and Data Structures/17-08 Recursion and inorder traversal in Python.mp4110.36MB
  • 17 Algorithms and Data Structures/17-09 Finding nodes in a tree with Python.mp431.43MB
  • 17 Algorithms and Data Structures/17-10 How do you delete nodes from a binary tree.mp458.05MB
  • 17 Algorithms and Data Structures/17-11 Deleting nodes in code with Python.mp4138.04MB
  • 17 Algorithms and Data Structures/17-12 Deleting nodes with two children in code.mp4216.25MB
  • 17 Algorithms and Data Structures/17-13 Testing our binary tree!.mp426.71MB
  • 17 Algorithms and Data Structures/17-14 Conclusion of this section.mp43.03MB
  • 18 Python libraries/18-01 Introduction to this section.mp44.62MB
  • 18 Python libraries/18-02 Python libraries overview.mp435.68MB
  • 18 Python libraries/18-03 Using pylint.mp481.62MB
  • 18 Python libraries/18-04 Using yapf.mp443.16MB
  • 18 Python libraries/18-05 Sending e-mails with smtplib.mp459.15MB
  • 18 Python libraries/18-06 Sending e-mails with Mailgun.mp475.08MB
  • 18 Python libraries/18-07 Creating a re-usable Mailgun library.mp447.66MB
  • 18 Python libraries/18-08 Sneak peek. My IDE setup!.mp458.93MB
  • 18 Python libraries/18-09 Conclusion of this section.mp43.47MB
  • 19 Bonus Section/19-01 Thank you for taking the course.mp46.45MB