The Python Developer Essentials Immersive Bootcamp

The Python Developer Essentials Immersive Bootcamp, available at $69.99, has an average rating of 4.36, with 80 lectures, 4 quizzes, based on 2838 reviews, and has 228651 subscribers.

You will learn about How to Program with Python and write a clean code The core Python concepts needed to become A Dev Professional Understand of how Python works behind the scenes Variables, Representing Data Types, and using Math Syntax and Recognize Code Blocks Understanding and Analyzing Errors Built-In Functions and Methods User-Defined and Anonymous Functions Structure all Data with Built-In Data Structures Flows Control for Programs Object-Oriented Programming Different types of Modules Handle Files using Python How to practice Python and building projects for tasks Get the Instructor QA support This course is ideal for individuals who are New developers and Engineers or Absolute Beginners in Python or Programming and software development engineering newbies or Developers and Engineers who know other programming language but are new to python or Anyone who wants to master modern Python 3.9.1 the right way without wasting time It is particularly useful for New developers and Engineers or Absolute Beginners in Python or Programming and software development engineering newbies or Developers and Engineers who know other programming language but are new to python or Anyone who wants to master modern Python 3.9.1 the right way without wasting time.

Enroll now: The Python Developer Essentials Immersive Bootcamp

Summary

Title: The Python Developer Essentials Immersive Bootcamp

Price: $69.99

Average Rating: 4.36

Number of Lectures: 80

Number of Quizzes: 4

Number of Published Lectures: 80

Number of Published Quizzes: 4

Number of Curriculum Items: 84

Number of Published Curriculum Objects: 84

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

How to Program with Python and write a clean code

The core Python concepts needed to become A Dev Professional

Understand of how Python works behind the scenes

Variables, Representing Data Types, and using Math

Syntax and Recognize Code Blocks

Understanding and Analyzing Errors

Built-In Functions and Methods

User-Defined and Anonymous Functions

Structure all Data with Built-In Data Structures

Flows Control for Programs

Object-Oriented Programming

Different types of Modules

Handle Files using Python

How to practice Python and building projects for tasks

Get the Instructor QA support

Who Should Attend

New developers and Engineers

Absolute Beginners in Python

Programming and software development engineering newbies

Developers and Engineers who know other programming language but are new to python

Anyone who wants to master modern Python 3.9.1 the right way without wasting time

Target Audiences

New developers and Engineers

Absolute Beginners in Python

Programming and software development engineering newbies

Developers and Engineers who know other programming language but are new to python

Anyone who wants to master modern Python 3.9.1 the right way without wasting time

Hello and welcome to The Python Developer Essentials Immersive Bootcamp for 2024

Learn the skills you need to become a Professional Certified Python Developer with this Complete Training Course.

Embark on an exciting journey into the world of programming with our comprehensive Python Developer Essentials course. This beginner-friendly course meticulously guides you through the fundamentals of Python programming, equipping you with the essential skills to create your own powerful programs.

Uncover the Essentials of Python Programming

Delve into the core concepts of Python, including:

Data Types and Variables: Master the building blocks of programs by understanding the different data types, such as integers, strings, and booleans, and how to store them in variables.

Operators and Expressions: Unravel the power of operators to manipulate data and construct sophisticated expressions.

Control Flow Statements: Learn how to control the flow of your programs using conditional statements like if-else and looping constructs like for and while loops.

Functions: Discover the power of functions to modularize your code, enhance reusability, and promote code organization.

Modules and Packages: Explore the concept of modules and packages to organize your code, share functionality, and leverage external libraries.

Object-Oriented Programming (OOP): Grasp the principles of OOP, including classes, objects, inheritance, and polymorphism, to create maintainable and extensible code.

Hands-on Learning and Practical Applications

Reinforce your understanding through hands-on coding exercises and real-world examples. You’ll learn to:

Write your first Python programs: Craft simple programs to grasp the basic syntax and structure of Python programming.

Manipulate data: Utilize data types, operators, and expressions to perform operations on data.

Control program flow: Implement conditional statements and loops to control the execution of your programs based on specific conditions.

Design and implement functions: Create reusable functions to enhance code organization and modularity.

Utilize modules and packages: Import and utilize modules and packages to access external functionality and organize your code.

Apply OOP principles: Design and implement classes and objects to create maintainable and extensible code.

Empower Yourself with Python Programming Skills

By completing this Python Basics course, you’ll acquire the foundational skills to confidently navigate the world of Python programming. You’ll be equipped to:

Solve programming problems: Apply your newfound knowledge to tackle programming challenges and solve computational problems.

Automate tasks: Create scripts and programs to automate repetitive tasks, saving time and effort.

Develop web applications: Build interactive web applications using Python frameworks like Django and Flask.

Analyze data: Utilize Python libraries like NumPy, pandas, and matplotlib to analyze and visualize data.

Explore machine learning: Explore the field of machine learning using Python libraries like scikit-learn.

Contribute to open-source projects: Engage in open-source projects to collaborate with experienced developers and gain real-world experience.

Unleash your creativity and problem-solving skills with Python programming. Enroll today and embark on a fulfilling journey into the world of software development!

So, what are you waiting for, enroll now to go through an Immersive Training of the most popular Programming Language on the market, Python.

Become A Python Guru in no time!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: Installing and Verifying Python

Lecture 3: Working with VS Code for Python

Chapter 2: Variables, Data Types, Printing and Getting classes

Lecture 1: Basic data types theory

Lecture 2: Variables and Assignments theory

Lecture 3: Multiple assignments theory

Lecture 4: Naming variables theory

Lecture 5: Printing values to the screen theory

Lecture 6: Getting class type theory

Lecture 7: Variables and Assignments hands-on

Lecture 8: Multiple assignments hands-on

Lecture 9: Assign one Value to many variables hands-on

Lecture 10: Printing values to the screen hands-on

Lecture 11: Getting class type hands-on

Chapter 3: Math Operations

Lecture 1: Math operations theory

Lecture 2: Math Orders theory

Lecture 3: Math operations hands-on

Lecture 4: Math Orders hands-on

Chapter 4: Comments and White Spaces

Lecture 1: Comments theory

Lecture 2: White Spaces theory

Lecture 3: Comments hands-on

Lecture 4: White Spaces hands-on

Chapter 5: Errors

Lecture 1: Error Types Theory

Lecture 2: Error Types hands-on

Chapter 6: Functions

Lecture 1: Function types theory

Lecture 2: Functions built-in theory

Lecture 3: User defined functions theory

Lecture 4: Functions built-in hands-on

Lecture 5: User defined functions hands-on

Lecture 6: Calling many times hands-on

Lecture 7: Pass many arguments

Lecture 8: Return many values

Lecture 9: Anonymous Lambda

Lecture 10: Scope in Python

Chapter 7: Structured Data in Python

Lecture 1: Lists theory

Lecture 2: Tuples theory

Lecture 3: Sets theory

Lecture 4: Dictionaries theory

Lecture 5: Create a list, change and insert

Lecture 6: Add and extend a list

Lecture 7: Delete and clear list items

Lecture 8: Create a Tuple, No change

Lecture 9: Accessing tuples and ranges

Lecture 10: Concatenate and delete tuples

Lecture 11: Create a set and get len

Lecture 12: Sets type and constructor to empty

Lecture 13: No Accessing for set items

Lecture 14: Adding items to a set

Lecture 15: Removing and clearing sets

Lecture 16: Creating dictionaries

Lecture 17: Dictionary len and type

Lecture 18: Dictionary all about accessing

Lecture 19: Dictionary all about updating values

Lecture 20: Adding one or many items in dictionary

Lecture 21: Deleting dictionary items and clearing

Chapter 8: Comparison, Logic, Additional, and Conditional Statements

Lecture 1: Comparison operators theory

Lecture 2: Logical operator theory

Lecture 3: Conditional theory

Lecture 4: Comparison operators hands-on

Lecture 5: Logical operator hands-on

Lecture 6: Additional operators

Lecture 7: Conditional Statements hands-on

Chapter 9: Loops: Repeating and Iterating

Lecture 1: While loops theory

Lecture 2: For loops theory

Lecture 3: The while loop in python hands-on

Lecture 4: The for loop hands-on

Lecture 5: for range break

Chapter 10: Working with Classes

Lecture 1: Classes theory

Lecture 2: Classes and Objects Hands-On

Lecture 3: Objects Modifications

Lecture 4: Class Methods and Constructors

Lecture 5: Inheritance from other classes Hands-on

Chapter 11: Modules: Organize Programs and Save time

Lecture 1: modules theory

Lecture 2: Understand all about Modules

Chapter 12: Working with Files

Lecture 1: Files Handling theory

Lecture 2: Reading Files

Lecture 3: Writing to Files

Lecture 4: Deleting Files

Chapter 13: Further learning and practicing

Lecture 1: Further learning, practicing and your next steps

Lecture 2: Bonus lecture

Instructors

Ahmed El Mohandes
Expert Software Engineer | Sr. Data Science & ML Consultant

Rating Distribution

1 stars: 47 votes

2 stars: 68 votes

3 stars: 423 votes

4 stars: 1034 votes

5 stars: 1266 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!