Lynda | Advanced Python: Working with Databases [FCO]

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Lynda | Advanced Python: Working with Databases [FCO] (Size: 1014.34 MB)
  0. Introduction
  001 - Using databases to level up your Python applications.mp4 9.25 MB
  001 - Using databases to level up your Python applications.srt 2.59 KB
  002 - What you need to know.mp4 6.56 MB
  002 - What you need to know.srt 3.89 KB
  0. Websites you may like
  0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url 377 B
  1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 B
  3. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 B
  How you can help our Group!.txt 208 B
  1. Introduction to Databases in Python
  001 - What is a database.mp4 5.91 MB
  001 - What is a database.srt 3.3 KB
  002 - Relational databases.mp4 12.75 MB
  002 - Relational databases.srt 6.5 KB
  003 - Non-relational databases.mp4 9.97 MB
  003 - Non-relational databases.srt 6.78 KB
  004 - Python Database API.mp4 7.06 MB
  004 - Python Database API.srt 5.02 KB
  2. Using SQLite in Python
  001 - What is SQLite.mp4 4.56 MB
  001 - What is SQLite.srt 3.44 KB
  002 - Creating an SQLite database.mp4 5.64 MB
  002 - Creating an SQLite database.srt 5.73 KB
  003 - Manipulating records in a SQLite database.mp4 16.87 MB
  003 - Manipulating records in a SQLite database.srt 11.82 KB
  004 - What is SQLAlchemy.mp4 8.68 MB
  004 - What is SQLAlchemy.srt 6.62 KB
  005 - Setting up a virtual environment for SQLAlchemy.mp4 4.9 MB
  005 - Setting up a virtual environment for SQLAlchemy.srt 4.23 KB
  006 - Using SQLAlchemy Core with an SQLite database.mp4 19.68 MB
  006 - Using SQLAlchemy Core with an SQLite database.srt 15.23 KB
  007 - Challenge- Create an SQLite database.mp4 2.16 MB
  007 - Challenge- Create an SQLite database.srt 1.37 KB
  008 - Solution- Create an SQLite database.mp4 24.2 MB
  008 - Solution- Create an SQLite database.srt 13.6 KB
  3. Using MySQL in Python
  001 - What is MySQL.mp4 9.55 MB
  001 - What is MySQL.srt 6.17 KB
  002 - Creating a MySQL database.mp4 7.82 MB
  002 - Creating a MySQL database.srt 5.95 KB
  003 - Building tables in a MySQL database.mp4 25.07 MB
  003 - Building tables in a MySQL database.srt 13.58 KB
  004 - Connecting a Python application to a MySQL database.mp4 12.78 MB
  004 - Connecting a Python application to a MySQL database.srt 9.92 KB
  005 - Encaspulating database operations to make better applications.mp4 29.31 MB
  005 - Encaspulating database operations to make better applications.srt 15.62 KB
  006 - Developing Pythonic applications with SQLAlchemy ORM.mp4 23.86 MB
  006 - Developing Pythonic applications with SQLAlchemy ORM.srt 13.36 KB
  007 - Using SQLAlchemy Sessions to transact on a MySQL database.mp4 24.38 MB
  007 - Using SQLAlchemy Sessions to transact on a MySQL database.srt 10.9 KB
  008 - Using SQL to import CSV data.mp4 40.4 MB
  008 - Using SQL to import CSV data.srt 53 B
  009 - Leveraging SQLAlchemy and pandas to import CSV data.mp4 24.4 MB
  009 - Leveraging SQLAlchemy and pandas to import CSV data.srt 11.64 KB
  010 - Challenge- Create a MySQL database.mp4 5.22 MB
  010 - Challenge- Create a MySQL database.srt 1.96 KB
  011 - Solution- Create a MySQL database.mp4 25.92 MB
  011 - Solution- Create a MySQL database.srt 12.14 KB
  4. Using PostgreSQL in Python
  001 - What is PostgreSQL.mp4 5.03 MB
  001 - What is PostgreSQL.srt 3.92 KB
  002 - Creating a PostgreSQL database.mp4 12.43 MB
  002 - Creating a PostgreSQL database.srt 7.5 KB
  003 - Creating a table in Postgres using Python.mp4 8.18 MB
  003 - Creating a table in Postgres using Python.srt 7.81 KB
  004 - Inserting data into a Postgres database.mp4 21.17 MB
  004 - Inserting data into a Postgres database.srt 12.11 KB
  005 - Interacting with a Postgres database using Python.mp4 31.25 MB
  005 - Interacting with a Postgres database using Python.srt 15.47 KB
  006 - Pythonic Postgres interactions with SQLAlchemy Core.mp4 31.59 MB
  006 - Pythonic Postgres interactions with SQLAlchemy Core.srt 15.87 KB
  007 - Pythonic Postgres interactions with SQLAlchemy ORM.mp4 27.48 MB
  007 - Pythonic Postgres interactions with SQLAlchemy ORM.srt 12.97 KB
  008 - Grouping SQL statements with stored procedures.mp4 5.33 MB
  008 - Grouping SQL statements with stored procedures.srt 3.67 KB
  009 - Creating a stored procedure in PostgreSQL.mp4 18.7 MB
  009 - Creating a stored procedure in PostgreSQL.srt 10.08 KB
  010 - Using Postgres stored procedures and functions in Python.mp4 21.56 MB
  010 - Using Postgres stored procedures and functions in Python.srt 53 B
  011 - Challenge- Create a Postgres database.mp4 5.02 MB
  011 - Challenge- Create a Postgres database.srt 3.64 KB
  012 - Solution- Create a Postgres database.mp4 44.21 MB
  012 - Solution- Create a Postgres database.srt 18.73 KB
  5. Developing Full-Stack Applications
  001 - Setting up Flask in a Python application.mp4 5.48 MB
  001 - Setting up Flask in a Python application.srt 3.66 KB
  002 - Creating a webpage with Flask.mp4 11.15 MB
  002 - Creating a webpage with Flask.srt 9.53 KB
  003 - Developing additional routes to enhance your application.mp4 17.17 MB
  003 - Developing additional routes to enhance your application.srt 12.84 KB
  004 - Instantiating a Postgres database using Python.mp4 14.48 MB
  004 - Instantiating a Postgres database using Python.srt 8.08 KB
  005 - Connecting a database to a Pythonic Flask project.mp4 21.74 MB
  005 - Connecting a database to a Pythonic Flask project.srt 10.42 KB
  006 - Feeding data from a database into a Flask application.mp4 16.29 MB
  006 - Feeding data from a database into a Flask application.srt 7.08 KB
  007 - Develop add functionality to a Flask application.mp4 29.43 MB
  007 - Develop add functionality to a Flask application.srt 13.27 KB
  008 - Challenge- Develop delete functionality.mp4 2.59 MB
  008 - Challenge- Develop delete functionality.srt 1.46 KB
  009 - Solution- Develop delete functionality.mp4 42.32 MB
  009 - Solution- Develop delete functionality.srt 16.59 KB
  6. Developing Analysis Applications
  001 - Introduction to pandas.mp4 6.53 MB
  001 - Introduction to pandas.srt 3.33 KB
  002 - Setting up pandas and Jupyter Notebook.mp4 7.58 MB
  002 - Setting up pandas and Jupyter Notebook.srt 3.37 KB
  003 - Analyzing data with pandas.mp4 14.09 MB
  003 - Analyzing data with pandas.srt 7.66 KB
  004 - Integrating SQLAlchemy with pandas.mp4 23.13 MB
  004 - Integrating SQLAlchemy with pandas.srt 53 B
  Conclusion
  001 - Next steps.mp4 7.48 MB
  001 - Next steps.srt 2.4 KB
  Ex_Files_Python_Databases.zip 195.64 MB

Description


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Author : Kathryn Hodge
Language : English
Released : 10/9/2020
Duration : 4h 51m
Subtitle : Included
Skill Level : Advanced
Course Source : https://www.lynda.com/Python-tutorials/Advanced-Python-Working-Databases/2832052-2.html

Description :

To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.

Topics include :

• What is a database?
• Relational vs. nonrelational databases
• Creating a SQLite database
• Editing records in SQLite
• Creating a MySQL database
• Encapsulating database operations
• Creating a PostgreSQL database
• Interacting with databases using SQLAlchemy
• Creating a stored procedure
• Developing full-stack apps with Python and Flask
• Developing analysis apps with pandas and SQLAlchemy

About Instructor :

Kathryn Hodge works as a software developer at a media company.

In addition to her work as a developer, Kathryn runs a YouTube channel for people wanting to learn how to code. Before graduating college, she worked for three years as a computer science teaching assistant. She is very interested in the intersection of media, entertainment, and technology, and is focused on creating software that makes an impact.

Skills covered in this course :

• Developer
• Programming Languages
• Python

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