| 1. Automating the emails with Smartlead.mp4 | 53.5 MB | ||
| 1. Extract the Valid Emails with Verification API.mp4 | 101 MB | ||
| 1. Fetching the Email Data with Contacts API.mp4 | 124.7 MB | ||
| 1. How to use Pandas.mp4 | 73.4 MB | ||
| 1. Introduction and Project Overview.mp4 | 12.9 MB | ||
| 1. Overview of our Final Infrastructure.mp4 | 11.4 MB | ||
| 1. Overview of the Company API.mp4 | 42.5 MB | ||
| 1. Setting up the Outlook Business Account.mp4 | 71.8 MB | ||
| 1. Setup your SMTP Server Part 1.mp4 | 22.2 MB | ||
| 1. Warming up your account with Email Warmup Tools.mp4 | 57.6 MB | ||
| 1.1 Apollo IO API.html | 102.4 B | ||
| 1.1 Lemwarm URL.html | 102.4 B | ||
| 1.1 Million Verifier URL.html | 102.4 B | ||
| 1.1 Namecheap URL.html | 102.4 B | ||
| 1.1 Smartlead API.html | 102.4 B | ||
| 1.1 The Companies API URL.html | 102.4 B | ||
| 1.2 Apollo IO URL.html | 102.4 B | ||
| 1.2 Smartlead URL.html | 102.4 B | ||
| 1.2 Warmup Inbox URL.html | 102.4 B | ||
| 2. Fetching the Company Data Part 1.mp4 | 56.4 MB | ||
| 2. Installing Anaconda and Jupyter Notebook.mp4 | 41 MB | ||
| 2. SPF and DKIM Setup.mp4 | 21 MB | ||
| 2. Setup your SMTP Server Part 2.mp4 | 99.1 MB | ||
| 2.1 Anaconda Download URL.html | 102.4 B | ||
| 2.2 Master Notebook.ipynb | 25.9 KB | ||
| 2.3 Pandas Training.ipynb | 168 KB | ||
| 3. Fetching the Company Data Part 2.mp4 | 75.3 MB | ||
| 4. Fetching the Company Data Part 3.mp4 | 47.2 MB | ||
| 5. Fetching the Company Data Part 4.mp4 | 26.5 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 31 total files | |||
Build Your Mass Cold Email Engine with Python 2024
https://CourseWikia.com
Published 1/2024
Created by Baris Karaman
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 2h 1m ) | Size: 937 MB
Learn how to build a cold email engine with Python
What you'll learn:
Building the Outbound Email Engine
Building your own Email SMTP server
How to Automate Cold Email Tasks
Python Basics and Pandas
Requirements:
Little experience with Python can be helpful
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