本站已收录 番号和无损神作磁力链接/BT种子 

Udemy - Python Comprehensive Bootcamp (Beginner To Professional) [AhLaN]

种子简介

种子名称: Udemy - Python Comprehensive Bootcamp (Beginner To Professional) [AhLaN]
文件类型: 视频
文件数目: 334个文件
文件大小: 4.4 GB
收录时间: 2020-12-7 23:34
已经下载: 3
资源热度: 203
最近下载: 2024-7-8 13:36

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:a7752966bd807ebb5b0912d6c621780da05b11c3&dn=Udemy - Python Comprehensive Bootcamp (Beginner To Professional) [AhLaN] 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

Udemy - Python Comprehensive Bootcamp (Beginner To Professional) [AhLaN].torrent
  • 28. Python and Data Science/19. Basic Data Cleaning Process~.mp4118.08MB
  • 1. Introduction/1. Introduction~.mp44.24MB
  • 1. Introduction/2. High and low level programming languages~.mp418.58MB
  • 1. Introduction/3. Compilers and Interpreters~.mp422.46MB
  • 1. Introduction/4. What is Python~.mp416.77MB
  • 2. Introduction to Command Line Interface/1. What is command line~.mp42.65MB
  • 2. Introduction to Command Line Interface/2. How to access comandline interface~.mp47.35MB
  • 2. Introduction to Command Line Interface/3. What you can do with commandline~.mp43.45MB
  • 2. Introduction to Command Line Interface/4. Useful Commands~.mp412.62MB
  • 3. Python Installation and Setup/1. Installing Python on Windows~.mp421.2MB
  • 3. Python Installation and Setup/2. Installing Python3 on Macs~.mp441.9MB
  • 3. Python Installation and Setup/3. Installing Pycharm on Windows~.mp420.84MB
  • 3. Python Installation and Setup/4. Changing Pycharm Theme~.mp410.59MB
  • 3. Python Installation and Setup/5. Pycharm windows configuration Part 1~.mp433.85MB
  • 3. Python Installation and Setup/6. Pycharm windows configuration Part 2~.mp437.89MB
  • 3. Python Installation and Setup/7. Installing Pycharm on Macs~.mp424.71MB
  • 3. Python Installation and Setup/8. Pycharm mac configuration~.mp459.34MB
  • 3. Python Installation and Setup/9. Installing Atom Text Editor~.mp415.8MB
  • 4. Interacting with Python/1. Interacting using Python Shell~.mp419.24MB
  • 4. Interacting with Python/2. Interacting using Python File~.mp417.57MB
  • 4. Interacting with Python/3. Python Expressions~.mp49.64MB
  • 4. Interacting with Python/4. Python Code Comments~.mp439.13MB
  • 4. Interacting with Python/5. Python Code Indentation~.mp415.7MB
  • 4. Interacting with Python/6. Python Variables~.mp420.38MB
  • 4. Interacting with Python/7. Creating Variables~.mp419.84MB
  • 4. Interacting with Python/8. Getting Input from Users~.mp456.88MB
  • 5. Python Operators/1. Introduction to Python Operators~.mp410.59MB
  • 5. Python Operators/2. Python Arithmetic Operators~.mp421.95MB
  • 5. Python Operators/3. Python Assignment Operators~.mp414.57MB
  • 5. Python Operators/4. Python Comparison Operators~.mp421.75MB
  • 5. Python Operators/5. Python Logical Operators~.mp421.28MB
  • 5. Python Operators/6. Python Identity Operators~.mp421.71MB
  • 5. Python Operators/7. Python Membership Operators~.mp412.65MB
  • 5. Python Operators/8. Binary Numbers~.mp424.42MB
  • 5. Python Operators/9. Python Bitwise Operators Part 1~.mp421.52MB
  • 5. Python Operators/10. Python Bitwise Operators Part 2~.mp417.68MB
  • 5. Python Operators/11. Python Operator Precedence~.mp425.64MB
  • 6. Python Data Types/1. Python Number Data Type~.mp414.16MB
  • 6. Python Data Types/2. Python String Data Type~.mp423.34MB
  • 6. Python Data Types/3. Python Boolean Data Type~.mp46.11MB
  • 6. Python Data Types/4. Casting Data Types~.mp431.62MB
  • 7. Python String Methods and Formatting/1. Python String Methods Part 1~.mp434.36MB
  • 7. Python String Methods and Formatting/2. Python String Methods Part 2~.mp451.05MB
  • 7. Python String Methods and Formatting/3. Python String Formatting Part 1~.mp425.51MB
  • 7. Python String Methods and Formatting/4. Python String Formatting Part 2~.mp431.34MB
  • 8. Python Data Structures/1. What are data structures~.mp42.47MB
  • 8. Python Data Structures/2. Python List~.mp49MB
  • 8. Python Data Structures/3. Creating a Python List~.mp413MB
  • 8. Python Data Structures/4. Accessing elements in a list~.mp428.26MB
  • 8. Python Data Structures/5. Python List Methods Part 1~.mp453.23MB
  • 8. Python Data Structures/6. Python List Methods Part 2~.mp450.77MB
  • 8. Python Data Structures/7. Python Tuple Part 1~.mp417.17MB
  • 8. Python Data Structures/8. Python Tuple Part 2~.mp426.68MB
  • 8. Python Data Structures/9. Python SET~.mp422.56MB
  • 8. Python Data Structures/10. Python SET Methods~.mp443.6MB
  • 8. Python Data Structures/11. Python Dictionary~.mp422.63MB
  • 8. Python Data Structures/12. Python Dictionary Methods~.mp451.58MB
  • 8. Python Data Structures/13. Creating a directory for Python Files~.mp46.02MB
  • 9. Python Control Flow Statements/1. Introduction to control flow~.mp410.84MB
  • 9. Python Control Flow Statements/2. if statements~.mp426.22MB
  • 9. Python Control Flow Statements/3. Else statements~.mp438.02MB
  • 9. Python Control Flow Statements/4. ELif statements~.mp429.56MB
  • 9. Python Control Flow Statements/5. While Loops~.mp422.05MB
  • 9. Python Control Flow Statements/6. For Loops~.mp414.29MB
  • 9. Python Control Flow Statements/7. Nested For Loops~.mp423.17MB
  • 9. Python Control Flow Statements/8. Break Statement~.mp417.44MB
  • 9. Python Control Flow Statements/9. Continue Statement~.mp421.23MB
  • 9. Python Control Flow Statements/10. For Loop and break statement~.mp416.02MB
  • 9. Python Control Flow Statements/11. For Loop and continue statement~.mp418.27MB
  • 9. Python Control Flow Statements/12. For Loop and else statement~.mp414.45MB
  • 9. Python Control Flow Statements/13. For Loop and Range Statement~.mp435.01MB
  • 10. Python Functions/1. What are Python Functions~.mp429.5MB
  • 10. Python Functions/2. Python Return Keyword Value~.mp412.8MB
  • 10. Python Functions/3. Default Parameter Value~.mp427.71MB
  • 10. Python Functions/4. Keyword Arguments~.mp432.46MB
  • 10. Python Functions/5. Functions returning other functions~.mp49.83MB
  • 10. Python Functions/6. Assigning Functions To Variables~.mp414.17MB
  • 10. Python Functions/7. Global and Local Variable Scopes~.mp440.31MB
  • 10. Python Functions/8. Nesting Functions~.mp416.04MB
  • 10. Python Functions/9. Nesting Functions Accessing Variable Scope~.mp418.41MB
  • 10. Python Functions/10. Function Pass Keyword~.mp44.54MB
  • 10. Python Functions/11. Passing functions as arguments~.mp417.01MB
  • 10. Python Functions/12. VarArgs Parameter~.mp442.68MB
  • 10. Python Functions/13. Anonymous Functions~.mp432.4MB
  • 10. Python Functions/14. Python DocStrings~.mp432.4MB
  • 10. Python Functions/15. Python Decorators~.mp460.39MB
  • 10. Python Functions/16. Python Function Vs Python Method~.mp413.88MB
  • 11. Object Oriented Programming (OOP)/1. What is OOP~.mp422.3MB
  • 11. Object Oriented Programming (OOP)/2. Creating a class~.mp454.21MB
  • 11. Object Oriented Programming (OOP)/3. instantiating a class~.mp443.71MB
  • 11. Object Oriented Programming (OOP)/4. Modifying Classes~.mp445.37MB
  • 11. Object Oriented Programming (OOP)/5. Class and instance Variables~.mp411.46MB
  • 11. Object Oriented Programming (OOP)/6. Inheritance Part 1~.mp439.17MB
  • 11. Object Oriented Programming (OOP)/7. Inheritance Part 2~.mp442.6MB
  • 11. Object Oriented Programming (OOP)/8. Inheritance Part 3~.mp473.25MB
  • 11. Object Oriented Programming (OOP)/9. Inheritance Part 4~.mp451.82MB
  • 11. Object Oriented Programming (OOP)/10. Polymorphism Part 1~.mp416.86MB
  • 11. Object Oriented Programming (OOP)/11. Polymorphism Part 2~.mp446.28MB
  • 11. Object Oriented Programming (OOP)/12. Polymorphism Part 3~.mp464.13MB
  • 11. Object Oriented Programming (OOP)/13. Encapsulation Part 1~.mp430.21MB
  • 11. Object Oriented Programming (OOP)/14. Encapsulation Part 2~.mp440.69MB
  • 11. Object Oriented Programming (OOP)/15. Encapsulation Part 3~.mp454.86MB
  • 11. Object Oriented Programming (OOP)/16. Abstraction Part 1~.mp446.49MB
  • 11. Object Oriented Programming (OOP)/17. Abstraction Part 2~.mp488.74MB
  • 12. Python Modules and Packages/1. What are Modules~.mp416.43MB
  • 12. Python Modules and Packages/2. How to use Modules~.mp428.16MB
  • 12. Python Modules and Packages/3. Built-in Modules~.mp428.43MB
  • 12. Python Modules and Packages/4. What are Python Packages~.mp435.37MB
  • 12. Python Modules and Packages/5. Python dir function~.mp410.97MB
  • 12. Python Modules and Packages/6. Pycache directory~.mp414.65MB
  • 12. Python Modules and Packages/7. Python name attribute~.mp429.7MB
  • 13. Working with External Files in Python/1. File Handling~.mp425.99MB
  • 13. Working with External Files in Python/2. Opening and Reading Files Part 1~.mp436.38MB
  • 13. Working with External Files in Python/3. Opening and Reading Files Part 2~.mp429.6MB
  • 13. Working with External Files in Python/4. Appending and writing to external files~.mp426.39MB
  • 13. Working with External Files in Python/5. Accessing file object attributes~.mp412.98MB
  • 13. Working with External Files in Python/6. Setting the file pointer~.mp426.14MB
  • 13. Working with External Files in Python/7. Renaming and deleting external files~.mp426.57MB
  • 14. Working with Dates ,Time , Calenders/1. Working with dates and Time Part 1~.mp451.74MB
  • 14. Working with Dates ,Time , Calenders/2. Working with dates and Time Part 2~.mp433MB
  • 14. Working with Dates ,Time , Calenders/3. Working with dates and Time Part 3~.mp422.65MB
  • 14. Working with Dates ,Time , Calenders/4. Formatting date and time objects Part 1~.mp427.84MB
  • 14. Working with Dates ,Time , Calenders/5. Formatting date and time objects Part 2~.mp429.35MB
  • 14. Working with Dates ,Time , Calenders/6. Formatting date and time objects Part 3~.mp428.27MB
  • 14. Working with Dates ,Time , Calenders/7. Datetime calculations Part 1~.mp436.89MB
  • 14. Working with Dates ,Time , Calenders/8. Datetime calculations Part 2~.mp437.69MB
  • 14. Working with Dates ,Time , Calenders/9. Datetime calculations Part 3~.mp448.87MB
  • 14. Working with Dates ,Time , Calenders/10. Working with calendars Part 1~.mp4345B
  • 14. Working with Dates ,Time , Calenders/11. Working with calendars Part 2~.mp4345B
  • 14. Working with Dates ,Time , Calenders/12. Working with calendars Part 3~.mp4345B
  • 15. Working with Images in Python/1. Working with images~.mp4345B
  • 15. Working with Images in Python/2. Loading Images~.mp4345B
  • 15. Working with Images in Python/3. Manipulating Images~.mp4345B
  • 15. Working with Images in Python/4. Creating thumbnails~.mp4345B
  • 16. Working with CSV and PDF in Python/1. Working with CSV files~.mp4345B
  • 16. Working with CSV and PDF in Python/2. Reading a csv file~.mp4345B
  • 16. Working with CSV and PDF in Python/3. Writing to a csv file~.mp4345B
  • 16. Working with CSV and PDF in Python/4. Working with PDF in Python~.mp4345B
  • 16. Working with CSV and PDF in Python/5. Extracting pdf document information in Python~.mp4345B
  • 16. Working with CSV and PDF in Python/6. How to rotate pages in PDF~.mp4345B
  • 16. Working with CSV and PDF in Python/7. How to merge pdf documents~.mp4345B
  • 16. Working with CSV and PDF in Python/8. How to split pdf document pages~.mp4345B
  • 16. Working with CSV and PDF in Python/9. How to add watermark to a PDF document~.mp4345B
  • 16. Working with CSV and PDF in Python/10. How to encrypt a PDF document~.mp4345B
  • 17. Errors and Exceptions Handling/1. Python Exceptions~.mp4345B
  • 17. Errors and Exceptions Handling/2. Handling Exceptions~.mp4345B
  • 17. Errors and Exceptions Handling/3. Implementing basic exception handling Part 1~.mp4345B
  • 17. Errors and Exceptions Handling/4. Implementing basic exception handling Part 2~.mp4345B
  • 17. Errors and Exceptions Handling/5. Implementing basic exception handling Part 3~.mp4345B
  • 18. Creating Basic Python Projects/1. Number Guessing Game~.mp4345B
  • 18. Creating Basic Python Projects/2. Random Number Generator~.mp4345B
  • 18. Creating Basic Python Projects/3. Lottery Number Simulator~.mp4345B
  • 18. Creating Basic Python Projects/4. Creating a digital clock part 1~.mp4345B
  • 18. Creating Basic Python Projects/5. Creating a digital clock part 2~.mp4345B
  • 18. Creating Basic Python Projects/6. Creating a digital clock part 3~.mp4345B
  • 18. Creating Basic Python Projects/7. Creating a countdown timer part 1~.mp4345B
  • 18. Creating Basic Python Projects/8. Creating a countdown timer part 2~.mp4345B
  • 18. Creating Basic Python Projects/9. Creating a countdown timer part 3~.mp4345B
  • 19. Building Desktop GUI Apps using Python/1. What is tkinter~.mp4345B
  • 19. Building Desktop GUI Apps using Python/2. Building a calculator part 1~.mp4345B
  • 19. Building Desktop GUI Apps using Python/3. Building a calculator part 2~.mp4345B
  • 19. Building Desktop GUI Apps using Python/4. Building a calculator part 3~.mp4345B
  • 19. Building Desktop GUI Apps using Python/5. Building an MP3 Player Part 1~.mp4345B
  • 19. Building Desktop GUI Apps using Python/6. Building an MP3 Player Part 2~.mp4345B
  • 19. Building Desktop GUI Apps using Python/7. Building an MP3 Player Part 3~.mp4345B
  • 19. Building Desktop GUI Apps using Python/8. Building an MP3 Player Part 4~.mp4345B
  • 19. Building Desktop GUI Apps using Python/9. Building an MP3 Player Part 5~.mp4345B
  • 19. Building Desktop GUI Apps using Python/10. Loan Calculator Create file~.mp4345B
  • 19. Building Desktop GUI Apps using Python/11. Building a loan calculator part 1~.mp4345B
  • 19. Building Desktop GUI Apps using Python/12. Building a loan calculator part 2~.mp4345B
  • 19. Building Desktop GUI Apps using Python/13. Building a loan calculator part 3~.mp4345B
  • 19. Building Desktop GUI Apps using Python/14. Building a loan calculator part 4~.mp4345B
  • 19. Building Desktop GUI Apps using Python/15. Building a loan calculator part 5~.mp4345B
  • 20. Web Scraping with Python/1. What is Web Scraping~.mp4345B
  • 20. Web Scraping with Python/2. Tools for web scraping~.mp4345B
  • 20. Web Scraping with Python/3. What we will scrape~.mp4345B
  • 20. Web Scraping with Python/4. Installing Virtual Environment Tool~.mp4345B
  • 20. Web Scraping with Python/5. Creating and activating a virtual environment~.mp4345B
  • 20. Web Scraping with Python/6. Installing Beautiful Soup~.mp4345B
  • 20. Web Scraping with Python/7. Installing Visual Studio Code~.mp4345B
  • 20. Web Scraping with Python/8. Build a web scrapping script Part 1~.mp4345B
  • 20. Web Scraping with Python/9. Build a web scrapping script Part 2~.mp4345B
  • 20. Web Scraping with Python/10. Prototyping the script Part 1~.mp4345B
  • 20. Web Scraping with Python/11. Prototyping the script Part 2~.mp4345B
  • 20. Web Scraping with Python/12. Prototyping the script Part 3~.mp4345B
  • 20. Web Scraping with Python/13. Prototyping the script Part 4~.mp4345B
  • 20. Web Scraping with Python/14. Prototyping the script Part 5~.mp4345B
  • 20. Web Scraping with Python/15. Testing and saving scraped data~.mp4345B
  • 20. Web Scraping with Python/16. Installing Scrapy~.mp4345B
  • 20. Web Scraping with Python/17. Creating a scrapy project~.mp4345B
  • 20. Web Scraping with Python/18. Components of a scrapy project~.mp4345B
  • 20. Web Scraping with Python/19. Scrapy Architecture~.mp4345B
  • 20. Web Scraping with Python/20. Creating a Spider Part 1~.mp4345B
  • 20. Web Scraping with Python/21. Creating a Spider Part 2~.mp4345B
  • 20. Web Scraping with Python/22. Scraping data with Scrapy Shell Part 1~.mp4345B
  • 20. Web Scraping with Python/23. Scraping data with Scrapy Shell Part 2~.mp4345B
  • 20. Web Scraping with Python/24. Running the Spider~.mp4345B
  • 21. Web Development with Python using Django/1. What is Django~.mp4345B
  • 21. Web Development with Python using Django/2. Famous apps built with Django~.mp4345B
  • 21. Web Development with Python using Django/3. Django Architecture~.mp4345B
  • 21. Web Development with Python using Django/4. Creating Project Directory~.mp4345B
  • 21. Web Development with Python using Django/5. Installing Visual Studio Code~.mp4345B
  • 21. Web Development with Python using Django/6. Install Virtual Environment~.mp4345B
  • 21. Web Development with Python using Django/7. Creating and activating a virtual environment~.mp4345B
  • 21. Web Development with Python using Django/8. Updating Pip~.mp4345B
  • 21. Web Development with Python using Django/9. Installing Django~.mp4345B
  • 21. Web Development with Python using Django/10. Django App vs Django Project~.mp4345B
  • 22. Building a Web Application with Django/1. What we will create~.mp4345B
  • 22. Building a Web Application with Django/2. Project mockup design~.mp4345B
  • 22. Building a Web Application with Django/3. Creating a Django Project~.mp4345B
  • 22. Building a Web Application with Django/4. Anatomy of a Django Project~.mp4345B
  • 22. Building a Web Application with Django/5. Starting and stopping Django development server~.mp4345B
  • 22. Building a Web Application with Django/6. Django Migrations~.mp4345B
  • 22. Building a Web Application with Django/7. Installing Django App~.mp4345B
  • 22. Building a Web Application with Django/8. Anatomy of a Django App~.mp4345B
  • 22. Building a Web Application with Django/9. Django admin and superuser~.mp4345B
  • 22. Building a Web Application with Django/10. Django Templates~.mp4345B
  • 22. Building a Web Application with Django/11. Django Views~.mp4345B
  • 22. Building a Web Application with Django/12. URL and URL Patterns~.mp4345B
  • 22. Building a Web Application with Django/13. Accessing static files~.mp4345B
  • 22. Building a Web Application with Django/14. Django Models~.mp4345B
  • 22. Building a Web Application with Django/15. Creating a Model~.mp4345B
  • 22. Building a Web Application with Django/16. Migrating Models~.mp4345B
  • 22. Building a Web Application with Django/17. Adding Models to Admin Site~.mp4345B
  • 23. Adding Web Project to Version Control/1. What is version control~.mp4345B
  • 23. Adding Web Project to Version Control/2. What is Git~.mp4345B
  • 23. Adding Web Project to Version Control/3. What is Github~.mp4345B
  • 23. Adding Web Project to Version Control/4. Installing Git~.mp4345B
  • 23. Adding Web Project to Version Control/5. Git Configuration~.mp4345B
  • 23. Adding Web Project to Version Control/6. Creating Github account~.mp4345B
  • 23. Adding Web Project to Version Control/7. Initializing git repository~.mp4345B
  • 23. Adding Web Project to Version Control/8. Excluding files from version control~.mp4345B
  • 23. Adding Web Project to Version Control/9. Adding files to version control~.mp4345B
  • 23. Adding Web Project to Version Control/10. Committing files to version control~.mp4345B
  • 23. Adding Web Project to Version Control/11. Creating remote repository~.mp4345B
  • 23. Adding Web Project to Version Control/12. Pushing project code to Github~.mp4345B
  • 24. Implementing Dynamic Data Display/1. Displaying Data from database~.mp4345B
  • 24. Implementing Dynamic Data Display/2. Setting background color for completed items~.mp4345B
  • 24. Implementing Dynamic Data Display/3. Committing changes to Github~.mp4345B
  • 24. Implementing Dynamic Data Display/4. Adding a form~.mp4345B
  • 24. Implementing Dynamic Data Display/5. Capturing data with form~.mp4345B
  • 24. Implementing Dynamic Data Display/6. Adding form to template and view~.mp4345B
  • 24. Implementing Dynamic Data Display/7. Adding form input to database~.mp4345B
  • 24. Implementing Dynamic Data Display/8. Creating a view for completed items~.mp4345B
  • 24. Implementing Dynamic Data Display/9. Creating a view to delete all completed items~.mp4345B
  • 24. Implementing Dynamic Data Display/10. Creating a view to remove all items from database~.mp4345B
  • 24. Implementing Dynamic Data Display/11. Pushing updates to version control~.mp4345B
  • 25. Deploying Web App/1. Deploying app Part 1~.mp4345B
  • 25. Deploying Web App/2. Deploying app Part 2~.mp4345B
  • 25. Deploying Web App/3. Deploying app Part 3~.mp4345B
  • 26. Building an API from scratch/1. What is an API~.mp4345B
  • 26. Building an API from scratch/2. Creating and activating a virtual environment~.mp4345B
  • 26. Building an API from scratch/3. Installing Django~.mp4345B
  • 26. Building an API from scratch/4. Installing Django REST Framework~.mp4345B
  • 26. Building an API from scratch/5. Creating a new Django project~.mp4345B
  • 26. Building an API from scratch/6. Creating a new Django app~.mp4345B
  • 26. Building an API from scratch/7. Register app with Django~.mp4345B
  • 26. Building an API from scratch/8. installing PostgreSQL Database Server~.mp4345B
  • 26. Building an API from scratch/9. Django and PostgreSQL Database Setup~.mp4345B
  • 26. Building an API from scratch/10. Running initial migration~.mp4345B
  • 26. Building an API from scratch/11. Creating a Django Model~.mp4345B
  • 26. Building an API from scratch/12. Creating and applying new migration~.mp4345B
  • 26. Building an API from scratch/13. Creating a serializer class~.mp4345B
  • 26. Building an API from scratch/14. Starting and stopping Django development server~.mp4345B
  • 26. Building an API from scratch/15. Creating a superuser account~.mp4345B
  • 26. Building an API from scratch/16. Creating views part 1~.mp4345B
  • 26. Building an API from scratch/17. Creating views part 2~.mp4345B
  • 26. Building an API from scratch/18. Mapping views to URL~.mp4345B
  • 26. Building an API from scratch/19. Register model with admin site~.mp4345B
  • 26. Building an API from scratch/20. Creating model objects~.mp4345B
  • 26. Building an API from scratch/21. Installing Postman~.mp4345B
  • 26. Building an API from scratch/22. Testing API~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/1. What is CRUD~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/2. What we will create~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/3. Application designsketch~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/4. Create Project directory and Python File~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/5. Creating app GUI Part 1~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/6. Creating app GUI Part 2~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/7. Creating app GUI Part 3~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/8. Creating app GUI Part 4~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/9. Creating app GUI Part 5~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/10. Adding comments to your code~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/12. What is SQL Server~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/13. Minimum Installation Requirements for SQL Server 2019~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/14. SQL Server Editions~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/15. Download SQL Server Developer Edition~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/16. Install SQL Server Developer Edition~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/17. Install SSMS~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/18. Connecting to SQL Server with SSMS~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/19. Creating a database and table~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/20. Creating a database configuration file~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/21. Create a virtual environment and install pypyodbc~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/22. Connect python file to database~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/23. Create a cursor object~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/24. Create a class and methods~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/25. Add more methods to class~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/26. Create function for selected row~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/27. Create more functions~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/28. Activate button widgets~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/29. App and database interaction Part 1~.mp4345B
  • 27. Create a CRUD App with Python & SQL Server/30. App and database interaction Part 2~.mp4345B
  • 28. Python and Data Science/1. What is Data Science~.mp428.94MB
  • 28. Python and Data Science/2. Impact of Data Science~.mp411.25MB
  • 28. Python and Data Science/3. Data Science life cycle~.mp45.27MB
  • 28. Python and Data Science/4. Data Science Terminologies~.mp419.9MB
  • 28. Python and Data Science/5. Probability Sampling~.mp429.11MB
  • 28. Python and Data Science/6. What is Jupyter Notebook~.mp44.57MB
  • 28. Python and Data Science/7. Installing Jupyter Notebook Server~.mp430.5MB
  • 28. Python and Data Science/8. Running Jupyter Notebook Server~.mp442.33MB
  • 28. Python and Data Science/9. Common Jupyter Notebook Commands~.mp428.46MB
  • 28. Python and Data Science/10. Jupyter Notebook Components~.mp421.89MB
  • 28. Python and Data Science/11. Jupyter Notebook Dashboard~.mp421.76MB
  • 28. Python and Data Science/12. Jupyter Notebook User Interface~.mp416.58MB
  • 28. Python and Data Science/13. Creating a new Notebook~.mp420.55MB
  • 28. Python and Data Science/14. Kaggle Data Sets~.mp426.26MB
  • 28. Python and Data Science/15. Tabular Data~.mp428.9MB
  • 28. Python and Data Science/16. Exploring Pandas DataFrame~.mp410.25MB
  • 28. Python and Data Science/17. Manipulating a Pandas DataFrame~.mp453.38MB
  • 28. Python and Data Science/18. What is Data Cleaning~.mp410.1MB
  • 28. Python and Data Science/20. Data Visualization~.mp414.14MB
  • 28. Python and Data Science/21. Visualizing Qualitative Data Part 1~.mp449.62MB
  • 28. Python and Data Science/22. Visualizing Qualitative Data Part 2~.mp462.75MB
  • 29. Python and Machine Learning/1. What is Machine Learning~.mp425.89MB
  • 29. Python and Machine Learning/2. Machine Learning Frameworks~.mp445.36MB
  • 29. Python and Machine Learning/3. Machine Learning Vocabulary~.mp420.17MB
  • 29. Python and Machine Learning/4. Installing Anaconda~.mp427.48MB
  • 29. Python and Machine Learning/5. Supervised machine learning~.mp445.12MB
  • 29. Python and Machine Learning/6. Where Machine Learning is used~.mp424.01MB
  • 29. Python and Machine Learning/7. Creating a basic house value estimator~.mp444.16MB
  • 29. Python and Machine Learning/8. Using Scikit-Learn~.mp450.73MB
  • 29. Python and Machine Learning/9. Loading a dataset part 1~.mp445.14MB
  • 29. Python and Machine Learning/10. Loading a dataset part 2~.mp414.07MB
  • 29. Python and Machine Learning/11. Making Predictions part 1~.mp432.81MB
  • 29. Python and Machine Learning/12. Making Predictions part 2~.mp419.53MB