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Basics of Python Programming

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Course offered by Md Abuzar Khan

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Introduction to Python Programming:

In this session, we will delve into the fundamentals of Python programming, covering essential concepts such as basic syntax, data types, operators, loops, and functions. Python is a versatile and powerful programming language widely used in various domains, including data science, web development, artificial intelligence, and more. Understanding these core concepts will provide you with a solid foundation to build upon as you embark on your journey into the world of Python programming.


1. Basic Syntax:

Python's syntax is known for its simplicity and readability, making it an excellent language for beginners and experienced programmers alike. In this section, we will explore the basic syntax elements of Python, including:

  • Statements and indentation
  • Comments
  • Variables and data assignment
  • Print function

Understanding these fundamental syntax rules is crucial for writing clear and concise Python code.


2. Data Types:

Python supports various data types, each serving different purposes in programming. We will cover the following data types:

  • Integers
  • Floating-point numbers
  • Strings
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Learning about data types will enable you to manipulate and store different kinds of data effectively in your Python programs.


3. Operators:

Operators in Python are symbols that perform operations on operands. We will discuss the following types of operators:

  • Arithmetic operators (+, -, *, /, %, **)
  • Assignment operators (=, +=, -=, *=, /=)
  • Comparison operators (==, !=, <,>, <=,>=)
  • Logical operators (and, or, not)
  • Bitwise operators (&, |, ^, ~, <<,>>)

Understanding how to use these operators will allow you to perform mathematical computations, comparisons, and logical operations in Python.


4. Loops:

Loops are used to iterate over a sequence of elements in Python. We will cover two main types of loops:

  • For loops: Used for iterating over a sequence (e.g., lists, tuples, strings) a fixed number of times.
  • While loops: Used for iterating until a certain condition is met.

By mastering loops, you can automate repetitive tasks and efficiently process large sets of data in your Python programs.


5. Functions:

Functions in Python are reusable blocks of code that perform a specific task. We will learn about:

  • Defining functions
  • Passing arguments to functions
  • Returning values from functions
  • Scope of variables
  • Built-in functions vs. user-defined functions

Understanding how to define and use functions will allow you to modularize your code, improve readability, and promote code reusability in Python.


By exploring these subtopics, you will gain a solid understanding of the basics of Python programming, setting the stage for your continued learning and exploration of more advanced concepts and techniques. Let's dive in and begin our journey into the world of Python programming!

About the Trainer

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Md Abuzar Khan

com.mks.provider.Education : 2926504

3 Years of Experience

Introduction:
Objective:

Experienced bioinformatics professional with a proven track record as a Data Management Supervisor at CSIR-IGIB, demonstrating a strong commitment to efficient data handling and analysis. Fueled by a passion for part-time teaching, I aspire to leverage my expertise in data science to contribute meaningfully to both industry and education. Actively seeking a dynamic role that seamlessly integrates my professional proficiency in data science with my enthusiasm for educational engagement, fostering a balanced and mutually beneficial environment.

Professional Experience:

CSIR-IGIB, New Delhi — Data Management Supervisor
April 2023 - Present

Supervised data management operations, ensuring accuracy and compliance.
Leveraged Python and data engineering skills to streamline processes.
CSIR-IGIB, New Delhi — Project Associate - 1
Oct 2022 - Mar 2023

Collaborated with a multidisciplinary team to build a machine learning and deep learning-based pipeline to predict the infection status of a person suffering from COVID-19.
Education:

Masters in Bioinformatics, Jamia Millia Islamia, New Delhi
Nov 2020 - June 2022

Bachelors in Biosciences, Jamia Millia Islamia, New Delhi
Aug 2017 - Mar 2020

Projects:

Covid-19 Surveillance in India: Currently working as Data Management Supervisor in this project funded by the Melinda and Gates Foundation.

Informatics and Big Data Units: Worked as Project Associate - 1, funded by CSIR-IGIB.

Masters Dissertation: Antibiotic Resistant Phenotype Prediction Using Deep Learning and Natural Language Processing.

Skills:

Python
Machine Learning
Deep Learning
Natural Language Processing
Molecular Biology
Genetics
Cell Biology
Microbiology
Publications:

Research Article: Entitled: "Unraveling the genetic evolution of SARS-CoV-2 Recombinants using mutational dynamics across the different lineages."
Published a book chapter in 2022: Entitled: "Population-level differences in COVID-19 prevalence, severity, and clinical outcome."
Languages:

Hindi, Urdu, and English

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