1. 1. Python in Parallel
2. 2. Parallel
3. 1. 2.1. Types of Problems
   2. 2.2. Types of solutions
   3. 2.3. Time slicing
   4. 2.4. Concurrencies
   5. 2.5. How many parallels to use?
   6. 2.6. Dividing jobs
   7. 2.7. Performance Monitoring
4. 3. Threads
5. 1. 3.1. Python Threading docs
   2. 3.2. Threaded counters
   3. 3.3. Simple threaded counters
   4. 3.4. Simple threaded counters (parameterized)
   5. 3.5. Pass parameters to threads - Counter with attributes
   6. 3.6. Create a central counter
   7. 3.7. Lock - acquire - release
   8. 3.8. Counter - plain
   9. 3.9. GIL - Global Interpreter Lock
   10. 3.10. Thread load
   11. 3.11. Exercise: thread files
   12. 3.12. Exercise: thread URL requests.
   13. 3.13. Exercise: thread queue
   14. 3.14. Solution: thread queue
   15. 3.15. Solution: thread URL requests.
   16. 3.16. Concurrency
   17. 3.17. Create a counter queue
   18. 3.18. A Queue of tasks
6. 4. Forking
7. 1. 4.1. Fork
   2. 4.2. Forking
   3. 4.3. Fork skeleton
   4. 4.4. Fork with load
   5. 4.5. Fork load results
   6. 4.6. Marshalling / Serialization
   7. 4.7. Fork with random
   8. 4.8. Exercise: fork return data
   9. 4.9. Solution: fork return data
8. 5. Asynchronous programming with AsyncIO
9. 1. 5.1. Use cases for Async
   2. 5.2. Event loop
   3. 5.3. Print sync
   4. 5.4. Print async
   5. 5.5. Sync sleep
   6. 5.6. Async sleep
   7. 5.7. Sync sleep in loop
   8. 5.8. Async sleep in loop
   9. 5.9. Async sleep in loop with gather
   10. 5.10. coroutines
   11. 5.11. Async Tasks
   12. 5.12. Count Async
   13. 5.13. Passing the baton while sleeping 0 sec
   14. 5.14. Async sleep in a queue
   15. 5.15. Async http
   16. 5.16. Sync http requests
   17. 5.17. Async http requests
   18. 5.18. Async http requests with queue
   19. 5.19. Sync chores
   20. 5.20. Async chores
10. 6. Async more
11. 1. 6.1. Explanation
    2. 6.2. Coroutines
    3. 6.3. More about asyncio
    4. 6.4. unsync
    5. 6.5. Async files
    6. 6.6. Async example
12. 7. Asynchronus programming with Twisted
13. 1. 7.1. About Twisted
    2. 7.2. Echo
    3. 7.3. Echo with log
    4. 7.4. Simple web client
    5. 7.5. Web client
14. 8. Multiprocess
15. 1. 8.1. Multiprocess CPU count
    2. 8.2. Multiprocess N files: Pool
    3. 8.3. Multiprocess load
    4. 8.4. Multiprocess: Pool
    5. 8.5. Multiprocess load async
    6. 8.6. Multiprocess and logging
    7. 8.7. Exercise: Process N files in parallel
    8. 8.8. Exercise: Process N Excel files in parallel
    9. 8.9. Exercise: Fetch URLs in parallel
    10. 8.10. Exercise: Fetch URLs from one site.
    11. 8.11. Solution: Process N files in parallel
    12. 8.12. Solution: Fetch URLs in parallel
16. 9. Multitasking
17. 1. 9.1. What is Multitasking?
    2. 9.2. Multitasking example
    3. 9.3. Multitasking example with wait
    4. 9.4. Multitaksing - second loop waits for first one
    5. 9.5. Multitasking counter
    6. 9.6. Multitasking counter with thread locking