23-05-2021

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Head First PHP & MySQL

Book Title :Head First PHP & MySQL

If you're ready to create web pages more complex than those you can build with HTML and CSS, Head First PHP MySQL is the ultimate learning guide to building dynamic, databasedriven websites using PHP and MySQL. Packed with realworld examples, this book teaches you all the essentials of serverside programming, from the fundamentals of PHP and MySQL coding to advanced topics such as form validation, session IDs, cookies, database queries and joins, file IO operations, content management, and more.Head First PHP MySQL offers the same visually rich format that's turned every title in the Head First series into a bestseller, with plenty of exercises, quizzes, puzzles, and other interactive features to help you retain what you've learned. Use PHP to transform static HTML pages into dynamic web sites Create and populate your own MySQL database tables, and work with data stored in files Perform sophisticated MySQL queries with joins, and refine your results with LIMIT and ORDER BY Use cookies and sessions to track visitors' login information and personalize the site for users Protect your data from SQL injection attacks Use regular expressions to validate information on forms Dynamically display text based on session info and create images on the fly Pull syndicated data from other sites using PHP and XMLThroughout the book, you'll build sophisticated examples including a mailing list, a job board, and an online dating site to help you learn how to harness the power of PHP and MySQL in a variety of contexts. If you're ready to build a truly dynamic website, Head First PHP MySQL is the ideal way to get going.

Author(s) :Lynn Beighley; Michael Morrison (2008)

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Chapter 1 Data and Tables: A place for everything
1. Defining your data
2. Look at your data in categories
3. What’s in a database?
4. Your database viewed through x-ray specs...
5. Databases contain connected data
6. Take command!
7. Setting the table: the CREATE TABLE statement
8. Creating a more complicated table
9. Look how easy it is to write SQL
10. Create the my_contacts table, finally
11. Your table is ready
12. Take a meeting with some data types
13. Your table, DESCribed
14. You can’t recreate an existing table or database!
15. Out with the old table, in with the new
16. To add data to your table, you’ll use the INSERT statement
17. Create the INSERT statement
18. Variations on an INSERT statement
19. Columns without values
20. Peek at your table with the SELECT statement
21. Controlling your inner NULL
22. NOT NULL appears in DESC
23. Fill in the blanks with DEFAULT
24. Your SQL Toolbox
Chapter 2 The SELECT Statement: Gifted data retrieval
1. Date or no date?
2. Making contact
3. A better SELECT
4. What the * is that?
5. How to query your data types
6. More punctuation problems
7. Unmatched single quotes
8. Single quotes are special characters
9. INSERT data with single quotes in it
10. SELECT specific data
11. The old way
12. SELECT specific columns to limit results
13. SELECT specific columns for faster results
14. Doughnut ask what your table can do for you...
15. Ask what you can do for your doughnut
16. Combining your queries
17. Finding numeric values
18. Once is enough
19. Smooth Comparison Operators
20. Finding numeric data with Comparison Operators
21. Text data roping with Comparison Operators
22. Selecting your ingredients
23. To be OR not to be
24. The difference between AND and OR
25. Use IS NULL to find NULLs
26. Meanwhile, back at Greg’s place...
27. Saving time with a single keyword: LIKE
28. The call of the Wild(card)
29. That’s more LIKE it
30. Just BETWEEN us... there’s a better way
31. After the dates, you are either IN...
32. ... or you are NOT IN
33. More NOT
34. Your SQL Toolbox
Chapter 3 DELETE and UPDATE: A change will do you good
1. Clowns are scary
2. Clown tracking
3. How our clown data gets entered
4. Bonzo, we’ve got a problem
5. Getting rid of a record with DELETE
6. Using our new DELETE statement
7. DELETE rules
8. The INSERT-DELETE two step
9. Be careful with your DELETE
10. The trouble with imprecise DELETE
11. Change your data with UPDATE
12. UPDATE rules
13. UPDATE is the new INSERT-DELETE
14. UPDATE in action
15. UPDATE your prices
16. All we need is one UPDATE
17. Your SQL Toolbox
Chapter 4 Smart Table Design: Why be normal?
1. Two fishy tables
2. A table is all about relationships
3. Atomic data
4. Atomic data and your tables
5. Reasons to be normal
6. The benefits of normal tables
7. Clowns aren’t normal
8. Halfway to 1NF
9. PRIMARY KEY rules
10. Getting to NORMAL
11. Fixing Greg’s table
12. The CREATE TABLE we wrote
13. Show me the
14. Time-saving command
15. The CREATE TABLE with a PRIMARY KEY
16. 1, 2, 3... auto incrementally
17. Adding a PRIMARY KEY to an existing table
18. ALTER TABLE and add a PRIMARY KEY
19. Your SQL Toolbox
Chapter 5 Alter: Rewriting the Past
1. We need to make some changes
2. Table altering
3. Extreme table makeover
4. Renaming the table
5. We need to make some plans
6. Retooling our columns
7. Structural changes
8. ALTER and CHANGE
9. Change two columns with one SQL statement
10. Quick! DROP that column
11. A closer look at the non-atomic location column
12. Look for patterns
13. A few handy string functions
14. Use a current column to fill a new column
15. How our UPDATE and SET combo works
16. Your SQL Toolbox
Chapter 6 Advanced Select: Seeing your data with new eyes
1. Dataville Video is reorganizing
2. Problems with our current table
3. Matching up existing data
4. Populating the new column
5. UPDATE with a CASE expression
6. Looks like we have a problem
7. Tables can get messy
8. We need a way to organize the data we SELECT
9. Try a little ORDER BY
10. ORDER a single column
11. ORDER with two columns
12. ORDER with multiple columns
13. An orderly movie_table
14. Reverse the ORDER with DESC
15. The Girl Sprout® cookie sales leader problem
16. SUM can add them for us
17. SUM all of them at once with GROUP BY
18. AVG with GROUP BY
19. MIN and MAX
20. COUNT the days
21. SELECT DISTINCT values
22. LIMIT the number of results
23. LIMIT to just second place
24. Your SQL Toolbox
Chapter 7 Multi-Table Database Design: Outgrowing your table
1. Finding Nigel a date
2. Why change anything?
3. The query worked really well
4. It worked too well
5. Ignoring the problem isn’t the answer
6. Too many bad matches
7. Use only the first interest
8. A possible match
9. Mis-matched
10. Add more interest columns
11. Starting over
12. All is lost...
13. ... But wait
14. Think outside of the single table
15. The multi-table clown tracking database
16. The clown_tracking database schema
17. An easier way to diagram your tables
18. How to go from one table to two
19. Linking your tables in a diagram
20. Connecting your tables
21. Foreign key facts
22. Constraining your foreign key
23. Why bother with foreign keys?
24. CREATE a table with a FOREIGN KEY
25. Relationships between tables
26. Patterns of data: one-to-one
27. Patterns of data: when to use one-to-one tables
28. Patterns of data: one-to-many
29. Patterns of data: getting to many-to-many
30. Patterns of data: we need a junction table
31. Patterns of data: many-to-many
32. Patterns of data: fixing gregs_list
33. Not in first normal form
34. Finally in 1NF
35. Composite keys use multiple columns
36. Even superheros can be dependent
37. Shorthand notations
38. Superhero dependencies
39. Partial functional dependency
40. Transitive functional dependency
41. Second normal form
42. We might be 2NF already...
43. Third normal form (at last)
44. And so, Regis (and gregs_list) lived happily ever after
45. The End
46. Your SQL Toolbox
Chapter 8 Joins and Multi-Table Operations: Can’t we all just get along?
1. Still repeating ourselves, still repeating...
2. Prepopulate your tables
3. We got the “table ain’t easy to normalize” blues
4. The special interests (column)
5. Keeping interested
6. UPDATE all your interests
7. Getting all the interests
8. Many paths to one place
9. CREATE, SELECT and INSERT at (nearly) the same time
10. CREATE, SELECT and INSERT at the same time
11. What’s up with that AS?
12. Column aliases
13. Table aliases, who needs ’em?
14. Everything you wanted to know about inner joins
15. Cartesian join
16. Releasing your inner join
17. The inner join in action: the equijoin
18. The inner join in action: the non-equijoin
19. The last inner join: the natural join
20. Joined-up queries?
21. Your SQL Toolbox
Chapter 9 Subqueries: Queries within queries
1. Greg gets into the job recruiting business
2. Greg’s list gets more tables
3. Greg uses an inner join
4. But he wants to try some other queries
5. Subqueries
6. We combine the two into a query with a subquery
7. Subquery rules
8. Subquery rules
9. A subquery construction walkthrough
10. A subquery as a SELECT column
11. Another example: Subquery with a natural join
12. A noncorrelated subquery
13. A noncorrelated subquery with multiple values: IN, NOT IN
14. Correlated subqueries
15. A (useful) correlated subquery with NOT EXISTS
16. EXISTS and NOT EXISTS
17. Greg’s Recruiting Service is open for business
18. On the way to the party
19. Your SQL Toolbox
Chapter 10 Outer Joins, Self-Joins, and Unions: New maneuvers
1. Cleaning up old data
2. It’s about left and right
3. Here’s a left outer join
4. Outer joins and multiple matches
5. The right outer join
6. While you were outer joining...
7. We could create a new table
8. How the new table fits in
9. A self-referencing foreign key
10. Join the same table to itself
11. We need a self-join
12. Another way to get multi-table information
13. You can use a UNION
14. UNION is limited
15. UNION rules in action
16. UNION ALL
17. Create a table from your union
18. INTERSECT and EXCEPT
19. We’re done with joins, time to move on to...
20. Subqueries and joins compared
21. Turning a subquery into a join
22. A self-join as a subquery
23. Greg’s company is growing
24. Your SQL Toolbox
Chapter 11 Constraints, Views, and Transactions: Too many cooks spoil the database
1. Greg’s hired some help
2. Jim’s first day: Inserting a new client
3. Jim avoids a NULL
4. Flash forward three months
5. CHECK, please: Adding a CHECK CONSTRAINT
6. CHECKing the gender
7. Frank’s job gets tedious
8. Creating a view
9. Viewing your views
10. What your view is actually doing
11. What a view is
12. Inserting, updating, and deleting with views
13. The secret is to pretend a view is a real table
14. View with CHECK OPTION
15. Your view may be updatable if...
16. When you’re finished with your view
17. When bad things happen to good databases
18. What happened inside the ATM
19. More trouble at the ATM
20. It’s not a dream, it’s a transaction
21. The classic ACID test
22. SQL helps you manage your transactions
23. What should have happened inside the ATM
24. How to make transactions work with MySQL
25. Now try it yourself
26. Your SQL Toolbox
Chapter 12 Security: Protecting your assets
1. User problems
2. Avoiding errors in the clown tracking database
3. Protect the root user account
4. Add a new user
5. Decide exactly what the user needs
6. A simple GRANT statement
7. GRANT variations
8. REVOKE privileges
9. REVOKING a used GRANT OPTION
10. REVOKING with precision
11. The problem with shared accounts
12. Using your role
13. Role dropping
14. Using your role WITH ADMIN OPTION
15. Combining CREATE USER and GRANT
16. Greg’s List has gone global!
17. Your SQL Toolbox
18. How about a Greg’s List in your city?
19. Use SQL on your own projects, and you too could be like Greg!

Head First Sql Pdf Online

Appendix Leftovers: The Top Ten Topics (we didn’t cover)
1. #1. Get a GUI for your RDBMS
2. #2. Reserved Words and Special Characters
3. #3. ALL, ANY, and SOME
4. #4. More on Data Types
5. #5. Temporary tables
6. #6. Cast your data
7. #7. Who are you? What time is it?
8. #8. Useful numeric functions
9. #9. Indexing to speed things up
10. #10. 2-minute PHP/MySQL
Appendix MySQL Installation: Try it out for yourself
1. Get started, fast!
2. Instructions and Troubleshooting
3. Steps to Install MySQL on Windows
4. Steps to Install MySQL on Mac OS X
Appendix Tools Roundup: All your new SQL tools
Appendix
1. Symbols
2. A
3. B
4. C
5. D
6. E
7. F
8. G
9. I
10. L
11. M
12. N
13. O
14. P
15. S
16. T
17. U
18. V
19. W

Head First PHP & MySQL

Chapter 1 Data and Tables: A place for everything

Defining your data

Look at your data in categories

What’s in a database?

Your database viewed through x-ray specs...

Databases contain connected data

Take command!

Setting the table: the CREATE TABLE statement

Creating a more complicated table

Look how easy it is to write SQL

Create the my_contacts table, finally

Your table is ready

Take a meeting with some data types

Your table, DESCribed

You can’t recreate an existing table or database!

Out with the old table, in with the new

To add data to your table, you’ll use the INSERT statement

Create the INSERT statement

Variations on an INSERT statement

Columns without values

Peek at your table with the SELECT statement

Controlling your inner NULL

NOT NULL appears in DESC

Fill in the blanks with DEFAULT

Your SQL Toolbox

Chapter 2 The SELECT Statement: Gifted data retrieval

Date or no date?

Making contact

A better SELECT

What the * is that?

How to query your data types

More punctuation problems

Unmatched single quotes

Single quotes are special characters

INSERT data with single quotes in it

SELECT specific data

The old way

SELECT specific columns to limit results

SELECT specific columns for faster results

Doughnut ask what your table can do for you...

Ask what you can do for your doughnut

Combining your queries

Finding numeric values

Once is enough

Smooth Comparison Operators

Finding numeric data with Comparison Operators

Text data roping with Comparison Operators

Selecting your ingredients

To be OR not to be

The difference between AND and OR

Use IS NULL to find NULLs

Meanwhile, back at Greg’s place...

Saving time with a single keyword: LIKE

The call of the Wild(card)

That’s more LIKE it

Just BETWEEN us... there’s a better way

After the dates, you are either IN...

... or you are NOT IN

More NOT

Your SQL Toolbox

Chapter 3 DELETE and UPDATE: A change will do you good

Clowns are scary

Clown tracking

How our clown data gets entered

Bonzo, we’ve got a problem

Getting rid of a record with DELETE

Using our new DELETE statement

DELETE rules

The INSERT-DELETE two step

Be careful with your DELETE

The trouble with imprecise DELETE

Change your data with UPDATE

UPDATE rules

UPDATE is the new INSERT-DELETE

UPDATE in action

UPDATE your prices

All we need is one UPDATE

Your SQL Toolbox

Chapter 4 Smart Table Design: Why be normal?