Python Celery for Distributed Tasks and Parallel Programming
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磁链详情
文件数目:
43个文件
文件大小:
552.21 MB
收录时间:
2025-09-14
访问次数:
1
相关内容:
Python
Celery
Distributed
Tasks
Parallel
Programming
文件meta
5. Working with Celery Pipeline Framework/4. Another Celery Example, Calculate Bank Interest.mp4
47.14 MB
4. Working with Spark Data Frames/5. Group by and sorting.mp4
42.13 MB
5. Working with Celery Pipeline Framework/5. Adding more Queues and Workers.mp4
41.2 MB
4. Working with Spark Data Frames/4. Working with user defined functions.mp4
37.92 MB
2. Course Lap Setup/1. Install Oracle client on ubuntu and install cx_Oracle library.mp4
37.53 MB
2. Course Lap Setup/4. Install celery pipeline framework.mp4
37.04 MB
4. Working with Spark Data Frames/3. Spark Data frames basics.mp4
34.85 MB
3. Working with Pandas Data Frames/1. Introduction to data frames.mp4
34.01 MB
3. Working with Pandas Data Frames/5. Merging data frames and use apply function.mp4
32.34 MB
2. Course Lap Setup/2. Install Spark and pandas 1.mp4
26.67 MB
5. Working with Celery Pipeline Framework/3. Using celery to call Send SMS Function.mp4
25.37 MB
4. Working with Spark Data Frames/1. Loading data from Oracle to Spark Data frame.mp4
24.18 MB
3. Working with Pandas Data Frames/2. Working with index.mp4
24.03 MB
2. Course Lap Setup/3. Install Spark and pandas 2.mp4
20.68 MB
3. Working with Pandas Data Frames/3. Selecting from data frames.mp4
18.77 MB
5. Working with Celery Pipeline Framework/2. Using Oracle Queue to call Send SMS Web Service.mp4
17.58 MB
3. Working with Pandas Data Frames/4. Grouping and sorting data in data frames.mp4
15.22 MB
5. Working with Celery Pipeline Framework/1. When Using Queues.mp4
14.03 MB
4. Working with Spark Data Frames/2. Loading data from Oracle to Spark Data frame 2.mp4
13.66 MB
1. Start Here/1. Introduction.mp4
4.96 MB
4. Working with Spark Data Frames/6. Pandas and Spark Quiz.mp4
1.03 MB
6. Bouns Section/1. Using Kafka JDBC Connector with Oracle DB (Doc Only).mp4
1.03 MB
2. Course Lap Setup/4.1 InstallCelery.pdf
244.56 KB
6. Bouns Section/1.3 Kafka_With_Oracle.pdf
235.71 KB
4. Working with Spark Data Frames/7. Quiz Answer.mp4
145.76 KB
4. Working with Spark Data Frames/6.1 Quiz.pptx
132.09 KB
2. Course Lap Setup/2.1 InstallSpark.pdf
33.76 KB
2. Course Lap Setup/1.1 OraClient_ubunto.pdf
31.27 KB
3. Working with Pandas Data Frames/1.1 Pandas+Lec1.zip
5.83 KB
5. Working with Celery Pipeline Framework/4.1 Bank_Interest.zip
4.5 KB
4. Working with Spark Data Frames/6.2 QuizCSV.csv
4.43 KB
5. Working with Celery Pipeline Framework/5.1 Adding more workers.zip
4.17 KB
4. Working with Spark Data Frames/5.1 SparkGroupby.zip
4.09 KB
5. Working with Celery Pipeline Framework/2.1 Oracle_Queues.SQL
3.83 KB
3. Working with Pandas Data Frames/5.1 Pandas Merge and using apply function.zip
3.52 KB
4. Working with Spark Data Frames/3.1 Spark.zip
3.49 KB
4. Working with Spark Data Frames/7.1 bankdata.py
2.17 KB
6. Bouns Section/1.2 Script.txt
1.66 KB
4. Working with Spark Data Frames/4.1 TestUDF.py
1.5 KB
3. Working with Pandas Data Frames/4.1 Pandas group by and sort.zip
1.33 KB
6. Bouns Section/1.1 Oracle_Consumer.py
1.21 KB
5. Working with Celery Pipeline Framework/3.1 Celery_SMS.zip
1.07 KB
4. Working with Spark Data Frames/1.1 SparkOracle.py
743 Bytes
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