Python Kickstart: An Introduction for Absolute Beginners

By Siddartha Kshirsagar
$5
Python Kickstart: An Introduction for Absolute Beginners image
Subjects:
Python, Python Basics, Python for Beginners
Level:
Beginner, Intermediate, Diploma, Bachelors/Undergraduate, Masters/Postgraduate
Types:
PPT/Presentation
Language used:
English

Course Overview: Embark on a comprehensive journey through Python programming with our all-encompassing course. From the language's historical roots to advanced data manipulation with libraries like NumPy, Pandas, and Scikit-learn, this course covers every aspect essential for mastering Python.

  1. Python: History, Overview, Environment Setup:

    • Explore the origins and evolution of Python.
    • Gain insights into Python's versatile features and set up a robust programming environment.

  2. Basic Syntax, Basic Programs:

    • Delve into fundamental Python syntax, including variables and data types.
    • Apply this knowledge to create basic yet practical programs.

  3. Variable Types, Different Datatypes, Basic Programs:

    • Master the concept of variables and various data types in Python.
    • Develop practical programming skills through hands-on exercises.

  4. Decision Making and Loops:

    • Understand control flow structures, including decision-making with conditional statements and iterative processes using loops.

  5. Numbers and Strings:

    • Explore numerical operations, manipulation of strings, and the diverse functionalities offered by Python for working with these data types.

  6. Lists, Tuples, Dictionary:

    • Dive into Python's versatile data structures, including lists, tuples, and dictionaries, learning their properties and applications.

  7. Functions:

    • Grasp the concept of functions, their creation, and their role in modularizing code for improved readability and reusability.

  8. Files I/O, Exceptions:

    • Learn file input/output operations and handle exceptions gracefully to enhance the robustness of your programs.

  9. Numpy, Pandas, Scikit-learn:

    • Unlock the power of specialized libraries like NumPy for numerical operations, Pandas for data manipulation, and Scikit-learn for machine learning.

Course Objectives: Equip participants with a comprehensive understanding of Python, enabling them to write efficient code, make data-driven decisions, and apply machine learning techniques.

Who Should Enroll:

  • Beginners with little or no programming experience.
  • Professionals seeking to enhance their Python proficiency

By completing this course, participants will emerge as proficient Python programmers ready to tackle a wide array of real-world challenges.

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