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种子名称： [Udemy] Полный Python PostgreSQL Курс 2.0 (2020)
文件类型： 视频
文件数目： 137个文件
文件大小： 4.82 GB
收录时间： 2022-12-9 22:12
已经下载： 3次
资源热度： 164
最近下载： 2024-12-25 07:45

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[Udemy] Полный Python PostgreSQL Курс 2.0 (2020).torrent

1. Introduction/1. Welcome to this course!.mp439.71MB

2. A Full Python Refresher/1. Introduction to this section.mp420.49MB

2. A Full Python Refresher/3. Variables in Python.mp432.13MB

2. A Full Python Refresher/4. String formatting in Python.mp427.91MB

2. A Full Python Refresher/5. Getting user input.mp421.54MB

2. A Full Python Refresher/6. Writing our first Python app.mp416.44MB

2. A Full Python Refresher/7. Lists, tuples and sets.mp426.42MB

2. A Full Python Refresher/8. Advanced set operations.mp420.37MB

2. A Full Python Refresher/9. Booleans in Python.mp423.17MB

2. A Full Python Refresher/10. If statements.mp444.66MB

2. A Full Python Refresher/11. The in keyword in Python.mp411.21MB

2. A Full Python Refresher/12. If statements with the in keyword.mp442.42MB

2. A Full Python Refresher/13. Loops in Python.mp453.41MB

2. A Full Python Refresher/14. List comprehensions in Python.mp430.86MB

2. A Full Python Refresher/15. Dictionaries.mp436.39MB

2. A Full Python Refresher/16. Destructuring variables.mp434.12MB

2. A Full Python Refresher/17. Functions in Python.mp444.63MB

2. A Full Python Refresher/18. Function arguments and parameters.mp437.97MB

2. A Full Python Refresher/19. Default parameter values.mp418.05MB

2. A Full Python Refresher/20. Functions returning values.mp435.19MB

2. A Full Python Refresher/21. Lambda functions in Python.mp438.55MB

2. A Full Python Refresher/22. Dictionary comprehensions.mp423.75MB

2. A Full Python Refresher/23. Unpacking arguments.mp451.44MB

2. A Full Python Refresher/24. Unpacking keyword arguments.mp444.73MB

2. A Full Python Refresher/25. Object-Oriented Programming in Python.mp489.66MB

2. A Full Python Refresher/26. Magic methods _str_ and _repr_.mp436.76MB

2. A Full Python Refresher/27. @classmethod and @staticmethod.mp480.77MB

2. A Full Python Refresher/28. Class inheritance.mp453.69MB

2. A Full Python Refresher/29. Class composition.mp435.18MB

2. A Full Python Refresher/30. Type hinting in Python 3.5+.mp431.89MB

2. A Full Python Refresher/31. Imports in Python.mp458.48MB

2. A Full Python Refresher/32. Relative imports in Python.mp454.22MB

2. A Full Python Refresher/33. Errors in Python.mp487.72MB

2. A Full Python Refresher/34. Custom error classes.mp442.14MB

2. A Full Python Refresher/35. First-class functions.mp448.54MB

2. A Full Python Refresher/36. Simple decorators in Python.mp450.13MB

2. A Full Python Refresher/37. The 'at' syntax for decorators.mp428.91MB

2. A Full Python Refresher/38. Decorating functions with parameters.mp414.39MB

2. A Full Python Refresher/39. Decorators with parameters.mp435.92MB

2. A Full Python Refresher/40. Mutability in Python.mp424.55MB

2. A Full Python Refresher/41. Mutable default parameters (and why they're a bad idea).mp422.26MB

3. Build a Programming Journal with Python & SQL/1. Overview of the project.mp419.24MB

3. Build a Programming Journal with Python & SQL/2. Creating our user menu.mp426.36MB

3. Build a Programming Journal with Python & SQL/3. What is SQL.mp444.14MB

3. Build a Programming Journal with Python & SQL/4. Using Python lists as an in-memory database.mp458.05MB

3. Build a Programming Journal with Python & SQL/5. A SQLite data viewer.mp437.6MB

3. Build a Programming Journal with Python & SQL/6. CREATE TABLE new tables with SQL.mp428.37MB

3. Build a Programming Journal with Python & SQL/9. How to connect to a SQLite database with Python.mp459.31MB

3. Build a Programming Journal with Python & SQL/10. Connecting to SQLite in our app.mp416.12MB

3. Build a Programming Journal with Python & SQL/11. What is a cursor.mp441.52MB

3. Build a Programming Journal with Python & SQL/12. INSERT INTO add data to a table.mp427.8MB

3. Build a Programming Journal with Python & SQL/14. How to insert data into SQLite with Python.mp435.64MB

3. Build a Programming Journal with Python & SQL/15. SELECT retrieve data from a table.mp418.24MB

3. Build a Programming Journal with Python & SQL/17. Retrieving results from a cursor.mp437.79MB

3. Build a Programming Journal with Python & SQL/18. WHERE search with SQL.mp449.62MB

3. Build a Programming Journal with Python & SQL/20. DROP TABLE deleting entire tables.mp411.54MB

3. Build a Programming Journal with Python & SQL/22. What is a SQL injection attack.mp423.71MB

4. A Movie Watchlist App with Python & SQL/1. Overview of the project.mp416.5MB

4. A Movie Watchlist App with Python & SQL/2. Three development stages of our project.mp432.77MB

4. A Movie Watchlist App with Python & SQL/3. Our starting code for this project.mp46.95MB

4. A Movie Watchlist App with Python & SQL/4. Queries we'll need for the project to begin with.mp423.45MB

4. A Movie Watchlist App with Python & SQL/5. Write the database.py file.mp441.69MB

4. A Movie Watchlist App with Python & SQL/6. UPDATE changing data with SQL.mp427.56MB

4. A Movie Watchlist App with Python & SQL/8. Write our user menu and functions.mp463.18MB

4. A Movie Watchlist App with Python & SQL/9. Watched movies second approach.mp47.75MB

4. A Movie Watchlist App with Python & SQL/10. DELETE FROM removing rows with SQL.mp414.54MB

4. A Movie Watchlist App with Python & SQL/12. Stage 2 watching movies.mp452.57MB

4. A Movie Watchlist App with Python & SQL/13. Relational data primary and foreign keys.mp427.61MB

4. A Movie Watchlist App with Python & SQL/15. Watched movies final approach.mp419.12MB

4. A Movie Watchlist App with Python & SQL/16. Stage 3 adding new watched movies.mp465.11MB

4. A Movie Watchlist App with Python & SQL/17. Auto-incrementing row IDs.mp429.11MB

4. A Movie Watchlist App with Python & SQL/19. JOIN access two tables at once with SQL.mp422.58MB

4. A Movie Watchlist App with Python & SQL/20. Use JOINs to retrieve the movies a user has watched.mp451.94MB

4. A Movie Watchlist App with Python & SQL/22. ORDER BY sort the returned table.mp413.13MB

4. A Movie Watchlist App with Python & SQL/23. LIMIT getting a certain number of rows.mp47.75MB

4. A Movie Watchlist App with Python & SQL/24. LIKE flexible searching.mp450.4MB

4. A Movie Watchlist App with Python & SQL/25. What is an index in SQL.mp437.31MB

4. A Movie Watchlist App with Python & SQL/26. Adding an index to our table for more efficient searching.mp428.47MB

5. Introduction to PostgreSQL Migrating our App/1. SQLite vs. PostgreSQL.mp430.86MB

5. Introduction to PostgreSQL Migrating our App/2. How to install PostgreSQL.mp420.11MB

5. Introduction to PostgreSQL Migrating our App/3. How to run and access PostgreSQL.mp415.57MB

5. Introduction to PostgreSQL Migrating our App/4. psycopg2 vs psycopg2-binary.mp467.97MB

5. Introduction to PostgreSQL Migrating our App/5. How to store (and not store!) sensitive information in your code.mp454.08MB

5. Introduction to PostgreSQL Migrating our App/6. Psycopg2 cursors and query parameters.mp433.57MB

5. Introduction to PostgreSQL Migrating our App/7. Auto-incrementing columns SEQUENCE and SERIAL in PostgreSQL.mp412.98MB

5. Introduction to PostgreSQL Migrating our App/8. Our changed code, and finding differences between files.mp415.85MB

6. Building a Poll App & Advanced SQL/1. Overview of the project.mp423.62MB

6. Building a Poll App & Advanced SQL/2. What is ACID.mp433.97MB

6. Building a Poll App & Advanced SQL/3. Essential queries we'll need for this project.mp459.33MB

6. Building a Poll App & Advanced SQL/4. RETURNING data from modified rows.mp442.38MB

6. Building a Poll App & Advanced SQL/5. Nested queries getting the latest poll.mp451.71MB

6. Building a Poll App & Advanced SQL/6. SQL built-in functions.mp435.74MB

6. Building a Poll App & Advanced SQL/7. GROUP BY and calculating vote percentages.mp468.5MB

6. Building a Poll App & Advanced SQL/8. PostgreSQL window functions.mp451.13MB

6. Building a Poll App & Advanced SQL/9. PostgreSQL window functions (part 2).mp437.57MB

6. Building a Poll App & Advanced SQL/10. How to use ORDER BY with window functions.mp427.71MB

6. Building a Poll App & Advanced SQL/11. How to use PARTITION with window functions.mp430.6MB

6. Building a Poll App & Advanced SQL/12. SQL DISTINCT and DISTINCT ON.mp445.23MB

6. Building a Poll App & Advanced SQL/13. The SQL HAVING clause.mp413.12MB

6. Building a Poll App & Advanced SQL/14. SQL VIEW virtual tables.mp478.6MB

6. Building a Poll App & Advanced SQL/15. How to read the PostgreSQL documentation.mp4116.4MB

6. Building a Poll App & Advanced SQL/16. Adding type hinting to our application.mp451.96MB

7. Working with dates and times/1. How to separate our database entities into models.mp462.24MB

7. Working with dates and times/2. Creating our Option model class.mp426.45MB

7. Working with dates and times/3. Changes needed in database.py.mp462.86MB

7. Working with dates and times/4. Changes needed in app.py.mp475.18MB

7. Working with dates and times/5. What is connection pooling.mp429.94MB

7. Working with dates and times/6. How to create a connection pool with psycopg2.mp431.45MB

7. Working with dates and times/7. Reduce pooling duplication with context managers.mp437.03MB

7. Working with dates and times/8. Reduce cursor creation duplication with context managers.mp422.85MB

7. Working with dates and times/9. The Python datetime module.mp431.24MB

7. Working with dates and times/10. How to calculate new dates with timedelta.mp419.07MB

7. Working with dates and times/11. How to handle timezones with pytz.mp471.7MB

7. Working with dates and times/12. How to save dates to PostgreSQL.mp439.55MB

7. Working with dates and times/13. Add the vote date to our polling app.mp464.78MB

8. Python and Advanced PostgreSQL with psycopg2/1. Composite primary keys.mp419.22MB

8. Python and Advanced PostgreSQL with psycopg2/2. User-defined functions in PostgreSQL.mp442.71MB

8. Python and Advanced PostgreSQL with psycopg2/3. Composite types and sets in functions.mp446.25MB

8. Python and Advanced PostgreSQL with psycopg2/4. Stored procedures in PostgreSQL.mp431.41MB

8. Python and Advanced PostgreSQL with psycopg2/5. Connections vs transactions in psycopg2.mp423.65MB

8. Python and Advanced PostgreSQL with psycopg2/6. Locking in PostgreSQL.mp454.05MB

8. Python and Advanced PostgreSQL with psycopg2/7. Asynchronous psycopg2.mp425.98MB

8. Python and Advanced PostgreSQL with psycopg2/8. SQL string composition with psycopg2.mp428.31MB

9. Charting data from our tables using matplotlib/1. Overview creating graphs from poll data.mp414.96MB

9. Charting data from our tables using matplotlib/3. How to draw a line graph with matplotlib.mp416.68MB

9. Charting data from our tables using matplotlib/5. Matplotlib figures, axes, and plots.mp416.93MB

9. Charting data from our tables using matplotlib/6. The Object-Oriented Approach with matplotlib.mp417.22MB

9. Charting data from our tables using matplotlib/7. How to add multiple subplots to a figure.mp419.58MB

9. Charting data from our tables using matplotlib/8. How to draw a pie chart with matplotlib.mp456.99MB

9. Charting data from our tables using matplotlib/9. How to draw a bar chart with matplotlib.mp425.82MB

9. Charting data from our tables using matplotlib/10. How to adjust the size of a matplotlib plot.mp417.1MB

9. Charting data from our tables using matplotlib/11. How to adjust the x axis tick labels so they fit in the screen.mp426.41MB

9. Charting data from our tables using matplotlib/12. How to draw a stacked bar chart with matplotlib.mp435.38MB

9. Charting data from our tables using matplotlib/13. How to create a legend from your graphed data.mp413.74MB

9. Charting data from our tables using matplotlib/14. How to export an image with matplotlib.mp434.18MB

9. Charting data from our tables using matplotlib/15. How to create one document with multiple matplotlib plots.mp413.07MB

9. Charting data from our tables using matplotlib/16. How to create a custom legend with matplotlib.mp420.28MB