Python For Beginners Using Anaconda And Jupyter Notebook

Unlocking Python's Power: A Step-by-Step Journey with Anaconda & Jupyter for the Modern Beginner

What you'll learn

Python Basics: Understand the syntax, semantics, and basic constructs of Python.

Anaconda Overview: Learn the importance of Anaconda in Python development and how it simplifies package management.

Jupyter Notebook Essentials: Explore the user interface, features, and functionalities of Jupyter Notebook.

Variables and Data Types: Delve into various Python data types, including integers, floats, strings, and booleans.

Control Structures: Master the use of if, elif, and else statements for decision-making.

Loops: Grasp the workings of 'for' and 'while' loops to execute repetitive tasks.

Functions: Define and invoke functions; understand the concept of function parameters and return values.

Data Structures: Dive into lists, dictionaries, sets, and tuples, learning how to create, manipulate, and access them

Requirements

Basic Computer Literacy: Familiarity with fundamental computer operations, such as creating folders, downloading files, and navigating the file system.

Operating System: A computer running Windows, macOS, or Linux. The course will provide installation guidelines for all these platforms.

Internet Connection: A stable internet connection for downloading necessary software, packages, and accessing supplemental online resources.

Passion to Learn: A genuine interest in programming and a desire to understand computational thinking.

No Prior Programming Experience: This course is designed for beginners, so there's no need for prior coding knowledge. However, those with some experience can still benefit by brushing up on basics and learning about Anaconda and Jupyter.

Adequate Storage Space: Ensure you have enough space on your computer for software installations, particularly Anaconda which can require several gigabytes.

Description

Embark on a transformative journey into Python, one of the world's most popular and versatile programming languages. Crafted with beginners in mind, this course amalgamates the robustness of Python with the intuitive environment provided by Anaconda and Jupyter Notebook, ensuring a seamless and engaging learning experience.Key Takeaways:Foundations of Python: Grasp the core concepts, syntax, and structures of Python to build a solid programming foundation. From variables to loops, understand the building blocks that form Python's essence.Introduction to Anaconda: Familiarize yourself with Anaconda, the world's most popular Python distribution. Learn how it facilitates package management and deployment to ensure smooth project executions.Mastering Jupyter Notebook: Delve into the interactive realms of Jupyter Notebook. Discover its dynamic nature, where code, text, and multimedia converge to offer a holistic coding environment.Hands-on Practice: Engage in a plethora of real-world exercises  within the Jupyter framework. Witness immediate outputs, tweak code in real-time, and learn from instant feedback.Data Manipulation: Python is renowned for its prowess in data handling. Unearth beginner-friendly techniques to manipulate, analyze, and visualize data, all within the Jupyter ecosystem.Transitioning to Advanced Modules: As you steadily navigate the Python landscape, get introduced to advanced modules and libraries that could be your next learning milestone.By the end of this course, you will not only be equipped with the fundamental skills of Python programming but also gain proficiency in utilizing the Anaconda platform and Jupyter Notebook to their fullest potential. This synergy ensures that your transition from a beginner to a confident Python enthusiast is smooth, interactive, and enriched with hands-on experience.Whether you're an aspiring developer, a data enthusiast, a student venturing into the world of programming, or someone from a non-technical background with a keen interest in coding, this course is your gateway to the captivating world of Python.Leverage the dual advantage of learning Python alongside mastering tools like Anaconda and Jupyter Notebook. Allow us to guide you through your initial steps into programming, ensuring a robust foundation and a passion for exploration. Welcome to the realm of Python with Anaconda and Jupyter Notebook!

Overview

Section 1: Setting your environment

Lecture 1 Introduction

Lecture 2 What is Python

Lecture 3 What is Anaconda

Lecture 4 Installing Anaconda on Windows

Lecture 5 Verify Anaconda Installation on Windows

Lecture 6 Installing Anaconda on Mac

Lecture 7 Verify Anaconda installation on Mac

Lecture 8 Introduction to Conda

Lecture 9 Introduction to Anaconda Navigator

Lecture 10 Anaconda Navigator Overview

Lecture 11 What are environments

Lecture 12 Creating a new environment with Anaconda

Lecture 13 Creating a new environment with Conda

Lecture 14 What is Jupyter Notebook

Lecture 15 Installing Jupyter Notebook using Anaconda

Lecture 16 How to start Jupyter Notebook Server

Lecture 17 How to create a new notebook

Section 2: Python Programming Essentials

Lecture 18 Python Expressions

Lecture 19 Python Statements

Lecture 20 Python Code Comments

Lecture 21 Python Data Types

Lecture 22 Casting Data Types

Lecture 23 Python Variables

Lecture 24 Python List

Lecture 25 Python Tuple

Lecture 26 Python Dictionaries

Lecture 27 Python Operators

Lecture 28 Python Conditional Statements

Lecture 29 Python Loops

Lecture 30 Python Functions

Absolute Beginners: Individuals with little to no experience in programming, looking for a comprehensive and beginner-friendly introduction to the world of coding.,Data Enthusiasts: Those curious about data science, machine learning, or data analysis, and want to start with a powerful toolset like Anaconda and Jupyter Notebook.,Students: Whether you're in high school, college, or pursuing higher studies, if you're looking to add a versatile programming language like Python to your academic skill set, this course is for you.,Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point.,Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point.,Current Developers: Programmers familiar with other languages but want to add Python to their repertoire, especially using the convenient environment provided by Jupyter Notebook.,Researchers and Academics: Individuals involved in research across various fields, who want to leverage Python for data manipulation, statistical analysis, or even complex simulations.,Hobbyists and DIY Enthusiasts: Those who enjoy tech projects in their free time, be it creating games, setting up a home automation system, or any other DIY project requiring a programming touch.,Entrepreneurs: Business founders or product managers in startups or established firms who believe in the power of data-driven decisions and want a hands-on understanding of the tools their technical teams might be using.,Teachers and Educators: Those looking to introduce or integrate Python programming into their curriculum will benefit from understanding the beginner's perspective and the tools involved.,Career Changers: Individuals from various professions aiming to transition into tech roles, especially in areas like software development, data science, or web development.