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Python for Beginners: Step-by-Step Journey into Programming

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Python for Beginners: Step-by-Step Journey into Programming, available at $19.99, has an average rating of 4.95, with 87 lectures, based on 13 reviews, and has 26 subscribers.

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You will learn about Introduction to Python and Programming A Step-by-Step Journey into Programming Understanding what Python is and its key features Familiarizing with the Python interpreter and running code This course is ideal for individuals who are Individuals with little to no prior programming experience who are eager to learn Python from scratch and embark on their programming journey. or Students or professionals from any field who want to add programming skills to their repertoire and leverage Python for various projects. or Students seeking to gain a solid foundation in programming and computer science concepts, with the goal of enhancing their academic performance and career prospects or Non-technical professionals looking to transition into tech-related roles, where Python is a widely-used and in-demand programming language or Individuals interested in web development who want to learn Python for back-end programming and Django, a popular Python web framework. or Aspiring data analysts, data scientists, or data engineers who wish to learn Python for data manipulation, analysis, and visualization using libraries like Pandas and NumPy. or Professionals working in business analysis who want to utilize Python to automate tasks, analyze data, and create insightful reports. or Students in scientific or engineering disciplines who want to use Python for numerical computations, simulations, and data analysis. or Individuals with a passion for technology and DIY projects who want to explore the world of programming and create interactive projects using Python. or Individuals who are simply curious about coding and want to explore the world of programming through a beginner-friendly and versatile language like Python. It is particularly useful for Individuals with little to no prior programming experience who are eager to learn Python from scratch and embark on their programming journey. or Students or professionals from any field who want to add programming skills to their repertoire and leverage Python for various projects. or Students seeking to gain a solid foundation in programming and computer science concepts, with the goal of enhancing their academic performance and career prospects or Non-technical professionals looking to transition into tech-related roles, where Python is a widely-used and in-demand programming language or Individuals interested in web development who want to learn Python for back-end programming and Django, a popular Python web framework. or Aspiring data analysts, data scientists, or data engineers who wish to learn Python for data manipulation, analysis, and visualization using libraries like Pandas and NumPy. or Professionals working in business analysis who want to utilize Python to automate tasks, analyze data, and create insightful reports. or Students in scientific or engineering disciplines who want to use Python for numerical computations, simulations, and data analysis. or Individuals with a passion for technology and DIY projects who want to explore the world of programming and create interactive projects using Python. or Individuals who are simply curious about coding and want to explore the world of programming through a beginner-friendly and versatile language like Python.

Enroll now: Python for Beginners: Step-by-Step Journey into Programming

Summary

Title: Python for Beginners: Step-by-Step Journey into Programming

Price: $19.99

Average Rating: 4.95

Number of Lectures: 87

Number of Published Lectures: 87

Number of Curriculum Items: 87

Number of Published Curriculum Objects: 87

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Introduction to Python and Programming
  • A Step-by-Step Journey into Programming
  • Understanding what Python is and its key features
  • Familiarizing with the Python interpreter and running code

Who Should Attend

  • Individuals with little to no prior programming experience who are eager to learn Python from scratch and embark on their programming journey.
  • Students or professionals from any field who want to add programming skills to their repertoire and leverage Python for various projects.
  • Students seeking to gain a solid foundation in programming and computer science concepts, with the goal of enhancing their academic performance and career prospects
  • Non-technical professionals looking to transition into tech-related roles, where Python is a widely-used and in-demand programming language
  • Individuals interested in web development who want to learn Python for back-end programming and Django, a popular Python web framework.
  • Aspiring data analysts, data scientists, or data engineers who wish to learn Python for data manipulation, analysis, and visualization using libraries like Pandas and NumPy.
  • Professionals working in business analysis who want to utilize Python to automate tasks, analyze data, and create insightful reports.
  • Students in scientific or engineering disciplines who want to use Python for numerical computations, simulations, and data analysis.
  • Individuals with a passion for technology and DIY projects who want to explore the world of programming and create interactive projects using Python.
  • Individuals who are simply curious about coding and want to explore the world of programming through a beginner-friendly and versatile language like Python.

Target Audiences

  • Individuals with little to no prior programming experience who are eager to learn Python from scratch and embark on their programming journey.
  • Students or professionals from any field who want to add programming skills to their repertoire and leverage Python for various projects.
  • Students seeking to gain a solid foundation in programming and computer science concepts, with the goal of enhancing their academic performance and career prospects
  • Non-technical professionals looking to transition into tech-related roles, where Python is a widely-used and in-demand programming language
  • Individuals interested in web development who want to learn Python for back-end programming and Django, a popular Python web framework.
  • Aspiring data analysts, data scientists, or data engineers who wish to learn Python for data manipulation, analysis, and visualization using libraries like Pandas and NumPy.
  • Professionals working in business analysis who want to utilize Python to automate tasks, analyze data, and create insightful reports.
  • Students in scientific or engineering disciplines who want to use Python for numerical computations, simulations, and data analysis.
  • Individuals with a passion for technology and DIY projects who want to explore the world of programming and create interactive projects using Python.
  • Individuals who are simply curious about coding and want to explore the world of programming through a beginner-friendly and versatile language like Python.

Python for Beginners: A Step-by-Step Journey into Programming

Are you ready to embark on an exciting adventure into the world of programming? Look no further! This comprehensive Python course is tailor-made for beginners, offering an immersive learning experience that will demystify coding and empower you to build your own Python projects from scratch.

Python—the popular and highly-readable object-oriented language—is both powerful and relatively easy to learn. Whether you’re new to programming or an experienced developer, this course can help you get started with Python. This Python course provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web.

In this course, we will start with the basics, introducing you to the Python language and its vast capabilities. You’ll gain a solid understanding of Python’s simple and elegant syntax, perfect for those with little or no prior programming experience.

We’ll dive into fundamental concepts, such as variables, data types, conditional statements, and loops, empowering you to write logical and efficient code. You’ll learn how to control the flow of your programs, making decisions and executing repetitive tasks with ease.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: 02 – Exercise files

Lecture 3: 03 – About Python 3

Lecture 4: 04 – Installing Python and Komodo on a Mac

Lecture 5: 05 – Installing Python and Komodo on Windo

Lecture 6: 06 – About the overview

Lecture 7: 07 – Hello world

Lecture 8: 08 – Python anatomy

Lecture 9: 09 – Expressions and statements

Lecture 10: 10 – Whitespace and comments

Lecture 11: 11 – Using print

Lecture 12: 12 – Blocks and scope

Lecture 13: 13 – Conditionals

Lecture 14: 14 – Loops

Lecture 15: 15 – Functions

Lecture 16: 16 – Objects

Lecture 17: 17 – Overview

Lecture 18: 18 – The string type

Lecture 19: 19 – Numeric types1

Lecture 20: 20 – The bool type

Lecture 21: 21 – Sequence types

Lecture 22: 22 – type() and id()

Lecture 23: 23 – Conditional syntax

Lecture 24: 24 – Conditional operators

Lecture 25: 25 – Conditional assignment

Lecture 26: 26 – Arithmetic operators

Lecture 27: 27 – Bitwise operators

Lecture 28: 28 – Comparison operators

Lecture 29: 29 – Boolean operators

Lecture 30: 30 – Operator precedence

Lecture 31: 31 – Python loops

Lecture 32: 32 – The while loop

Lecture 33: 33 – The for loop

Lecture 34: 34 – Additional controls

Lecture 35: 35 – Defining a function

Lecture 36: 36 – Function arguments

Lecture 37: 37 – Argument lists

Lecture 38: 38 – Keyword arguments

Lecture 39: 39 – Return values

Lecture 40: 40 – Generators

Lecture 41: 41 – Decorators

Lecture 42: 42 – Basic data structures

Lecture 43: 43 – Lists and tuples

Lecture 44: 44 – Dictionaries

Lecture 45: 45 – Sets

Lecture 46: 46 – List comprehension

Lecture 47: 47 – Mixed structures

Lecture 48: 48 – Creating a class

Lecture 49: 49 – Constructing an object

Lecture 50: 50 – Class methods

Lecture 51: 51 – Object data

Lecture 52: 52 – Inheritance

Lecture 53: 53 – Iterator objects

Lecture 54: 54 – Handling exceptions

Lecture 55: 55 – Reporting errors

Lecture 56: 56 – Overview of string objects

Lecture 57: 57 – Common string methods

Lecture 58: 58 – Formatting strings

Lecture 59: 59 – Splitting and joining

Lecture 60: 60 – Opening files

Lecture 61: 61 – Text vs. binary mode

Lecture 62: 62 – Text files

Lecture 63: 63 – Binary files

Lecture 64: 64 – Numeric functions

Lecture 65: 65 – String functions

Lecture 66: 66 – Container functions

Lecture 67: 67 – Object and class functions

Lecture 68: 68 – Using standard modules

Lecture 69: 69 – Creating a module

Lecture 70: 70 – Python database API

Lecture 71: 71 – A database interface

Lecture 72: Wrap Up

Chapter 2: Exercises

Lecture 1: Chap01

Lecture 2: Chap02

Lecture 3: Chap03

Lecture 4: Chap04

Lecture 5: Chap05

Lecture 6: Chap06

Lecture 7: Chap07

Lecture 8: Chap08

Lecture 9: Chap09

Lecture 10: Chap10

Lecture 11: Chap11

Lecture 12: Chap12

Lecture 13: Chap13

Lecture 14: Chap14

Lecture 15: Chap15

Instructors

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  • 4 stars: 1 votes
  • 5 stars: 12 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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