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Python automation hot selling course!

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Ebenezer Shyaka

2:29:42

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  • 1. Introduction to Python.mp4
    03:25
  • 2. Python Overview.html
  • 3. Healthy habits for course completion.html
  • 4. Introduction to Python Programming.mp4
    04:02
  • 5. more on python.mp4
    04:02
  • 6. Get to know python.html
  • 7. create basic python script.mp4
    02:47
  • 8. Python environments.html
  • 9. test your knowledge.html
  • 1. Data types in Python.mp4
    05:47
  • 2. More about data types.html
  • 3. work with variables.mp4
    07:51
  • 4. assign and reassign variables in python.html
  • 5. quiz.html
  • 1. Conditional statements in Python.mp4
    08:44
  • 2. More on conditionals in Python.html
  • 3. For loops.mp4
    05:28
  • 4. While loops.mp4
    05:39
  • 5. more on loops.html
  • 6. Identify the correct iterative statement.html
  • 7. quiz.html
  • 8. wrap up.mp4
    01:05
  • 9. Reference guide Python concepts from module 1.html
  • 10. Glossary terms from module 1.html
  • 1. Introduction to Function.mp4
    02:45
  • 2. Create a basic function.mp4
    02:47
  • 3. Python functions in cybersecurity.html
  • 4. Quiz.html
  • 1. Use parameters in functions.mp4
    04:37
  • 2. Return statements.mp4
    04:11
  • 3. Functions and variables.html
  • 4. Explore built-in functions.mp4
    06:06
  • 5. Work with built-in functions.html
  • 6. quiz.html
  • 1. Modules and libraries.mp4
    02:48
  • 2. Import modules and libraries in Python.html
  • 3. Code readability.mp4
    04:42
  • 4. Ensure proper syntax and readability in Python.html
  • 5. Quiz.html
  • 6. Reference guide Python concepts from module 2.html
  • 7. Glossary terms from module 2.html
  • 8. Wrap-up.mp4
    01:05
  • 1. Welcome to module 3.mp4
    01:15
  • 2. String operations.mp4
    05:51
  • 3. String indices and slices.mp4
    06:22
  • 4. Strings and the security analyst.html
  • 5. quiz.html
  • 1. List operations in Python.mp4
    07:45
  • 2. Write a simple algorithm.mp4
    06:13
  • 3. Lists and the security analyst.html
  • 4. quiz.html
  • 5. Regular expressions in Python.mp4
    09:00
  • 6. wrap up.mp4
    01:11
  • 1. More about regular expressions.html
  • 2. Reference guide Python concepts from module 3.html
  • 3. quiz.html
  • 1. Welcome to module 4.mp4
    01:16
  • 2. Automate tasks with Python.mp4
    04:02
  • 3. Glossary terms from module 3.html
  • 4. Essential Python components for automation.html
  • 5. quiz.html
  • 1. Access a text file in Python.mp4
    03:57
  • 2. Import files into Python.html
  • 3. Parse a text file in Python.mp4
    02:34
  • 4. Work with files in Python.html
  • 5. Develop a parsing algorithm in Python.mp4
    06:33
  • 6. quiz.html
  • 1. Debugging strategies.mp4
    06:22
  • 2. Apply debugging strategies.mp4
    05:58
  • 3. Explore debugging techniques.html
  • 4. quiz.html
  • 5. Wrap-up.mp4
    01:03
  • 6. course Wrap-up.mp4
    02:29
  • 7. Reference guide Python concepts from week 4.html
  • 8. Glossary terms from module 4.html
  • 9. Reference guide Python concepts.html
  • Description


    Automate Tasks with Python

    What You'll Learn?


    • Introduction to Python
    • Write effective Python code
    • Work with strings and lists
    • Python in practice

    Who is this for?


  • Beginner Python Developers curious about data science
  • security analysts
  • What You Need to Know?


  • some computer knowledge
  • More details


    Description

    Automating tasks with Python has revolutionized the way individuals and organizations streamline their workflows. Python's simplicity and versatility make it an ideal choice for automating a wide range of repetitive tasks across various domains. From file management to data processing and web scraping, Python offers an extensive ecosystem of libraries and tools that empower users to automate virtually any task imaginable. With libraries like os and shutil, Python simplifies file manipulation and system-level operations, allowing users to automate tasks such as file renaming, copying, and deletion with just a few lines of code. Furthermore, Python's subprocess module enables seamless integration with external applications, facilitating the automation of complex processes and workflows. For tasks involving web scraping and data extraction, Python's Selenium and Beautiful Soup libraries provide robust solutions, allowing users to automate interactions with web pages and extract data from HTML documents effortlessly. Moreover, Python's PyAutoGUI library enables GUI automation for desktop applications, making it possible to automate mouse and keyboard interactions with graphical interfaces. By leveraging Python's automation capabilities, individuals and organizations can significantly increase productivity, reduce manual errors, and focus on more strategic and creative tasks, ultimately driving efficiency and innovation in their operations. this will help you on your journey

    Who this course is for:

    • Beginner Python Developers curious about data science
    • security analysts

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    Ebenezer Shyaka
    Ebenezer Shyaka
    Instructor's Courses
    Detail-oriented cybersecurity professional dedicated to protecting organizations and the people they serve. Knowledgeable about NIST frameworks and able to implement security controls to ensure compliance with international regulations related to data protection. Experience with identifying threats, risks, and vulnerabilities; security hardening; threat modeling; and incident escalation and response. Proficient in the use of Linux command line, SQL, and Python. Strong communication and problem-solving skills. Recently completed the Google Cybersecurity Certificate, a rigorous, skills-based program that covers key cybersecurity knowledge and skills. and my managerial skills : shipping/receiving/ stowing packages - organizing people)-finally my extensive knowledge in trucking , I posses doubles / triples , tanker license , hazmat license with my CDL class A endorsements.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 34
    • duration 2:29:42
    • Release Date 2024/05/28