8 million SRR files and counting
  • Anonymous
  • 2020-05-22 11:33:44
  • Unknown

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ReScene version pyReScene Auto 0.7 REBAR File size CRC
Download
23,459
Stored files
187 B1F6DD25
2,132 055D7BE8
RAR-files
rebar-automating.networks.with.python.rar 15,000,000 D48E41C0
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rebar-automating.networks.with.python.r39 92,443 FD7AD375

Total size: 600,092,443
Archived files
00 - Course Overview\01 - Course Overview.mp4 [7bd942c27a459447] 4,898,643 A5AB1BA8
01 - Reorienting Python for Network Applications\02 - Things You Should Know Before Beginning.mp4 [1901ba89e318b7b3] 6,446,435 697F05E6
01 - Reorienting Python for Network Applications\03 - Understanding Our MPLS Network.mp4 [41b7d1acddb0dea6] 4,684,333 2B327E38
01 - Reorienting Python for Network Applications\04 - Introducing the Python Paramiko Package.mp4 [6f5a6c690f933dd3] 4,894,597 37C672D1
01 - Reorienting Python for Network Applications\05 - Demo- Your First Paramiko Networking Script.mp4 [c26701818bccac59] 31,097,232 E064E7C5
01 - Reorienting Python for Network Applications\06 - Challenge- Add Persistent Storage to the Existing Script.mp4 [1166f57dce2be68d] 9,899,209 0965C0A7
01 - Reorienting Python for Network Applications\07 - Bonus Demo- The Python Debugger (pdb).mp4 [c3320a6a5d3812c2] 22,409,965 D3B57FC2
01 - Reorienting Python for Network Applications\08 - Paramiko Summarized with Pseudo-Code.mp4 [7ee3725db692f024] 1,918,423 86932DE6
02 - Automating Networks with Paramiko and Netmiko\09 - What is Infrastructure as Code-.mp4 [fce677ed7474aa1f] 11,832,010 335F2E23
02 - Automating Networks with Paramiko and Netmiko\10 - Introducing Jinja2 for Text Templating.mp4 [21104209932a402b] 4,532,105 FAAD3B8E
02 - Automating Networks with Paramiko and Netmiko\11 - Demo- Supplementary Infrastructure as Code Files.mp4 [5b194e11160eca53] 13,226,967 E2DF5F6E
02 - Automating Networks with Paramiko and Netmiko\12 - Demo- Using Paramiko and Jinja2 for CLI-based IAC.mp4 [65f218da60df7e0c] 12,879,097 488C4382
02 - Automating Networks with Paramiko and Netmiko\13 - Why Do We Need Netmiko-.mp4 [7db4a983da601e97] 2,106,179 9F4B4869
02 - Automating Networks with Paramiko and Netmiko\14 - Demo- Retooling Our Solution Using Netmiko.mp4 [59e0a9450576a5db] 15,822,273 91ABC610
02 - Automating Networks with Paramiko and Netmiko\15 - Bonus Demo- Secure Copy Protocol (SCP) File Transfer Using Netmiko.mp4 [13243ecf38f9e431] 10,894,213 556469CC
02 - Automating Networks with Paramiko and Netmiko\16 - Comparing Paramiko and Netmiko.mp4 [fa0b6ce3d923fb47] 2,791,475 DFA77DDE
03 - Responsibly Parsing Text Using Python\17 - Introducing Python Regular Expressions.mp4 [6ee1b59ca79bdc79] 6,222,555 4B6BBD96
03 - Responsibly Parsing Text Using Python\18 - Demo- Implementing Platform Model ID Parsers.mp4 [250a7ed1e8e277b9] 12,766,764 4E9FD174
03 - Responsibly Parsing Text Using Python\19 - Demo- Implementing VRF Configuration Parsers.mp4 [1ae870f115af875d] 23,571,627 A8CEBBD7
03 - Responsibly Parsing Text Using Python\20 - What is Unit Testing-.mp4 [73fb526dddef817e] 1,734,173 E0897709
03 - Responsibly Parsing Text Using Python\21 - Demo- Using pytest for Model ID Parser Testing.mp4 [d8324585c2d19361] 18,152,852 3DDFCBA9
03 - Responsibly Parsing Text Using Python\22 - Demo- Using pytest for VRF Configuration Parser Testing.mp4 [fcf9be0d2da31be6] 12,829,854 87ABA83C
03 - Responsibly Parsing Text Using Python\23 - Regex and Unit Testing in Summary.mp4 [e86dd0f55731accc] 1,880,160 D997BB20
04 - Abstracting Network Automation Tasks with NAPALM\24 - Introducing NAPALM Simplify Mixed Networks .mp4 [d5570eabb0c91b29] 3,608,948 B005221D
04 - Abstracting Network Automation Tasks with NAPALM\25 - Demo- NAPALM Getters and Basic Configuration Merging.mp4 [9dfe4f6c20f596c8] 27,142,485 A41EC05F
04 - Abstracting Network Automation Tasks with NAPALM\26 - Introduction to Set Theory using Python.mp4 [855009a7cf13363] 4,306,796 90C50E11
04 - Abstracting Network Automation Tasks with NAPALM\27 - Demo- Integrating Set Theory Logic.mp4 [3aea6d65f968e057] 27,910,646 984D8F86
04 - Abstracting Network Automation Tasks with NAPALM\28 - Combining Set Theory with NAPALM.mp4 [7989671a6fa4a627] 3,199,197 979DF8CA
04 - Abstracting Network Automation Tasks with NAPALM\29 - Demo- Enhanced NAPALM Merging with Set Theory.mp4 [a8e097f0ac203b12] 16,529,443 139C2C51
04 - Abstracting Network Automation Tasks with NAPALM\30 - Other Handy NAPALM Features.mp4 [8c015ff8eceb76f1] 3,309,418 CE4610EB
04 - Abstracting Network Automation Tasks with NAPALM\31 - Visually Comparing Paramiko, Netmiko, and NAPALM.mp4 [f9b00ba094ab21b3] 3,086,990 7AF5DD16
05 - Orchestrating Complex Processes with Nornir\32 - The Basic Nornir Architecture.mp4 [7cf818c5d85f2a19] 6,302,243 4984BDB2
05 - Orchestrating Complex Processes with Nornir\33 - Demo- Developing the Simplest Nornir Runbook.mp4 [5f80ac4b3b79422] 21,196,446 F259DB36
05 - Orchestrating Complex Processes with Nornir\34 - Bonus Demo- Exploring Nornir Results with pdb .mp4 [c664f871a2d2a99d] 15,274,599 852AF56C
05 - Orchestrating Complex Processes with Nornir\35 - Demo- Optimizing Performance via Task Grouping for Concurrency.mp4 [a634b68ba9599c2] 27,019,721 9A14E511
05 - Orchestrating Complex Processes with Nornir\36 - Demo- Assembling the Final Nornir Runbook.mp4 [7079b747b9ac2681] 33,065,466 FF491C5F
05 - Orchestrating Complex Processes with Nornir\37 - Bonus- Comparing Ansible and Nornir.mp4 [b3c84b5f6fc5881a] 2,528,194 32544562
06 - Advancing beyond SSH- Automating with APIs\38 - What Problem Does This Solve-.mp4 [f232729d1fab5a54] 5,448,489 E6E15BD2
06 - Advancing beyond SSH- Automating with APIs\39 - Introduction to NETCONF Operations and YANG Data Models.mp4 [976f6737a1f036f6] 6,382,536 439D3DFC
06 - Advancing beyond SSH- Automating with APIs\40 - Demo- Introducing ncclient and the “ge 20,223,656 BDF739AD
06 - Advancing beyond SSH- Automating with APIs\41 - Demo- Managing MPLS RTs Using NETCONF via ncclient.mp4 [52c21b11a3ca6b0f] 30,050,759 F4E6F337
06 - Advancing beyond SSH- Automating with APIs\42 - HTTP-based RESTCONF Operations.mp4 [6c610b1fe117c453] 3,513,083 4E1603E0
06 - Advancing beyond SSH- Automating with APIs\43 - Demo- An alternative MPLS RT Solution Using RESTCONF and Nornir.mp4 [c9a6aa02ed5b5e2d] 31,640,707 4D027FDF
06 - Advancing beyond SSH- Automating with APIs\44 - Comparing NETCONF and RETSCONF.mp4 [db9a5edfb3000fd1] 1,842,458 10871A04
07 - Writing Production-grade Python Code\45 - Why You Must Use Version Control.mp4 [8b43f1c3cfaed825] 3,052,967 B2A1138A
07 - Writing Production-grade Python Code\46 - Demo- Time Travel with Git.mp4 [b15a2254d9cf5734] 7,196,482 1497353A
07 - Writing Production-grade Python Code\47 - Module Summary and Final Thoughts.mp4 [f848b4200314b4a3] 3,152,224 564143B9
07 - Writing Production-grade Python Code\48 - Embedded Error-checking in Python.mp4 [482b3de3e2af960c] 3,113,191 C57E715C
07 - Writing Production-grade Python Code\49 - Demo- Command Line Input and File Validation Techniques.mp4 [e438a584265eb273] 10,263,085 21D41624
07 - Writing Production-grade Python Code\50 - Beautifying Code with Formatters.mp4 [a9b5f356715998f5] 1,586,661 9526D49B
07 - Writing Production-grade Python Code\51 - Demo- Uncompromising Uniformity with black.mp4 [b2d2a1eaa438254f] 6,769,233 8835654F
07 - Writing Production-grade Python Code\52 - Keeping Code Clean with Linters.mp4 [5b5de09c12a2068b] 1,767,603 A1864171
07 - Writing Production-grade Python Code\53 - Demo- Deploying pylint To Reveal Simple Problems.mp4 [31f5ab0128d46786] 13,506,620 5444F43D
07 - Writing Production-grade Python Code\54 - Writing Makefiles to Automate Shell Operations.mp4 [2e2e94ae561669a] 1,932,916 F05779A9
07 - Writing Production-grade Python Code\55 - Demo- Saving Time with Makefiles.mp4 [5e07531b71b5532b] 15,723,354 E0773BAD
automating-networks-python.zip 939,803 752ABABE
00 - Course Overview 0 00000000
01 - Reorienting Python for Network Applications 0 00000000
02 - Automating Networks with Paramiko and Netmiko 0 00000000
03 - Responsibly Parsing Text Using Python 0 00000000
04 - Abstracting Network Automation Tasks with NAPALM 0 00000000
05 - Orchestrating Complex Processes with Nornir 0 00000000
06 - Advancing beyond SSH- Automating with APIs 0 00000000
07 - Writing Production-grade Python Code 0 00000000

Total size: 600,077,560
RAR Recovery
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Labels UNKNOWN