Python A - Z: Complete Guide For Beginners To Advanced Devs

Unlock Python Proficiency: From Basic Syntax to Advanced Development Skills

What you'll learn

Master Python Basics: Understand Python syntax, variables, basic operators, and data types to build a strong foundation in programming.

Control Flow Proficiency: Gain expertise in using conditional statements and loops for controlling the flow of Python programs.

Data Structures Knowledge: Learn to effectively use lists, dictionaries, sets, and tuples for efficient data manipulation and storage.

Function Implementation Skills: Develop the ability to create reusable functions, understanding scope, arguments, and return values.

Error Handling Techniques: Master exception handling with try-except blocks, enhancing program reliability and error management.

File I/O Operations: Acquire skills in file handling – reading, writing, and managing files, essential for real-world applications.

OOP Concepts Application: Understand Object-Oriented Programming principles to create modular and scalable Python applications.

Python Libraries Utilization: Learn to use popular libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization.

Web Scraping Abilities: Gain the skills to extract data from web pages using BeautifulSoup and requests, crucial for data gathering.

Database Management Proficiency: Learn to connect Python with databases like SQLite for performing data storage and retrieval operations.

Requirements

Basic Computer Literacy: Familiarity with operating a computer, managing files, and using the internet is essential.

Software Installation Permissions: Ability to install Python and related software (like a code editor and necessary libraries) on the computer.

Problem-Solving Mindset: Ability to think logically and enjoy solving problems, as programming involves a lot of this.

Willingness to Learn: A proactive attitude and readiness to invest time in learning and practicing new concepts are crucial.

Time Commitment: Commitment to dedicate a certain amount of time each week for following the course and practicing the skills learned.

Description

"Embark on a transformative journey with 'Python A-Z: Complete Guide for Beginners to Advanced Developers', a course meticulously crafted to take learners from the very basics of Python programming to the heights of advanced development. Ideal for absolute beginners and seasoned coders alike, this course offers a tailored learning experience that comprehensively covers Python.Starting with Python's fundamental syntax, data types, and control structures, the course builds a strong foundation in programming. As you progress, you'll delve into more complex concepts such as Object-Oriented Programming, data manipulation using powerful libraries, and web scraping techniques. The course provides hands-on experience with real-world applications, enhancing your skills in file operations, database management, and data analysis.Our interactive learning approach, complete with practical examples and exercises, ensures that you not only understand Python theoretically but can also confidently apply it in various coding environments. By the end of this course, you'll be equipped to handle Python projects in diverse domains, including web development, data science, and automation, making you a versatile and sought-after developer.Furthermore, the course explores advanced topics such as concurrency, parallelism, and interactive data visualization, ensuring you're up-to-date with the latest industry trends and techniques. You'll also learn best practices in coding and development, preparing you for professional Python development environments. Enroll now to start your journey towards becoming an adept Python developer."

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Setting up the Python environment

Section 2: Basic Programming Concepts

Lecture 3 Comment in Python Programming

Lecture 4 Data Types in Python

Lecture 5 Variables in Python

Lecture 6 Basic Operators 1

Lecture 7 Basic Operators 2

Lecture 8 String Operations

Lecture 9 String Formatting

Section 3: Control Structure

Lecture 10 Conditional Statement

Lecture 11 Python Loop

Section 4: Data Structure

Lecture 12 List and list comprehensions in python

Lecture 13 Tuple in Python

Lecture 14 Dictionary in Python

Lecture 15 Sets in Python

Section 5: Functions

Lecture 16 Defining and calling functions

Lecture 17 Scope and Lifetime of variables

Section 6: Input & Output in Python

Lecture 18 Input function in python

Lecture 19 Reading from and writing to Text File

Lecture 20 Reading from and writing to CSV File

Section 7: Error and Exception Handling

Lecture 21 Error Type in Python

Lecture 22 Try, Except, Finally

Section 8: Modules and Packages

Lecture 23 Importing Module in Python

Lecture 24 Creating a Custom Module

Lecture 25 Python Package

Section 9: Advanced Data Structure

Lecture 26 Collections module

Lecture 27 Iterators and generators

Section 10: Functional Programming

Lecture 28 Lambdas

Lecture 29 Higher-order function - map

Lecture 30 Higher-order function - filter

Lecture 31 Higher-order function - reduce

Section 11: Object-Oriented Programming (OOP)

Lecture 32 Classes and objects

Lecture 33 Inheritance

Lecture 34 Polymorphism

Lecture 35 Encapsulation

Section 12: Projects

Lecture 36 Password Generator Project

Lecture 37 Create Two-Factor Authentication System

Lecture 38 Create Two-Factor Authentication System - With Email Functionality

Lecture 39 Guess the Number Game Project

Lecture 40 Create a Chatbot Project

Section 13: Introduction to Web Scraping

Lecture 41 Basic HTML Parsing with Python

Lecture 42 Web scraping program with BeautifulSoup

Section 14: Python GUI Calculator Project - Tkinter

Lecture 43 GUI Calculator - 1

Lecture 44 Create Two-Factor Authentication System

Lecture 45 GUI Calculator - 2

Lecture 46 GUI Calculator - 3

Section 15: Data Analysis and Data Visualization

Lecture 47 Read the Data & Initialize Data Exploration

Lecture 48 Data Analysis

Lecture 49 Data Visualization

Lecture 50 Exporting Analyzed Data

Absolute Beginners in Programming: Individuals with no prior experience in programming who are looking for a comprehensive and understandable introduction to coding.,Hobbyists and Tech Enthusiasts: Those who have an interest in technology and programming and want to explore Python for personal projects or self-improvement.,Career Changers: Professionals from non-tech backgrounds aiming to transition into tech roles, particularly in fields requiring programming skills.,Students and Academics: University or college students, as well as academic researchers, who need Python for their studies or research work in fields like data analysis, machine learning, or scientific computing.,Software Developers: Programmers familiar with other languages looking to expand their skill set with Python, one of the most versatile and in-demand programming languages.,Data Analysts and Scientists: Professionals in data-driven fields aiming to leverage Python for data analysis, visualization, and implementing machine learning algorithms.,Automation Engineers: Those looking to automate repetitive tasks in their work or personal projects, as Python excels in scripting and automation.,Web Developers: Developers interested in web development who want to use Python for backend development (e.g., using frameworks like Django or Flask).,IT Professionals: System administrators, network engineers, and other IT professionals who can use Python for scripting and automating routine tasks.,Entrepreneurs and Business Professionals: Business owners or managers looking to understand the technical aspects of their ventures or to communicate more effectively with their tech teams.