Francis - Learn Python Programming: A Working Introduction Guide for Python Programming and focuses on the programming language paradigm (process-oriented, object-oriented, function-oriented)

Learn Python Programming

A Working Introduction Guide for Python Programming and focuses on the programming language paradigm (process-oriented, object-oriented, function-oriented)

Priya Francis

Table of Contents

Introduction

Chapter 1: Python

Why Should You Learn Computer Programming?

Advantages of Modern Programming

Why Did Python Emerge as a Winner Among a Lot of Other Computer Languages?

What Is Python (and a Little Bit of History)

Chapter 2: Importance of Python

What Can You Do as a Python Programmer?

Example Program to Just Get You a Good Overview of the Python Programming

Python Reserved Words

Chapter 3: How to Install Python

Installation and Running of Python

Official Version Installation

Other Python Versions

Virtualenv

Chapter 4: The World of Variables

Chapter 5: Data Types in Python

Basic Data Types

Tuples and Lists

Dictionaries

Chapter 6: Operators in Python

Mathematical Operators

String

Comparison Operator

Logical Operators

Operator Precedence

Chapter 7: Execution and Repetitive Tasks

If Structure

Stand Back

If Nesting and Elif

For Loop

For Element in Sequence

While Loop

Skip or Abort

Small Exercise to Review What We Learned Until Now

Chapter 8: Functions and Modules

What Are Functions?

Defining Functions

How to Call Functions?

Function Documentation

Parameter Passing

Basic Pass Parameters

Pass the Parcel

Unwrap

Recursion

GAUSS and Mathematical Induction

Proof of the Proposition

Function Stack

Scope of Variables

inner_var()

Introducing Modules

Search Path

Installation of Third-Party Modules

Chapter 9: Reading and Writing Files in Python

Storage

Documents

Context Manager

Pickle Pack

Chapter 10: Object-Oriented Programming Part 1

Classes

Objects

Successors

Subclasses

Attribute Overlay

What You Missed Out on All Those Years

List Objects

Tuples and String Objects

Chapter 11: Object-Oriented Programming Part 2

Operators

Element References

Just a Small Example for Dictionary Datatype

Implementation of Built-In Functions

Attribute Management

Features

_getatr_() method

Dynamic Type

Mutable and Immutable Objects

Look at the Function Parameter Passing from the

Dynamic Type Memory Management in Python

1. Reference Management

2. Garbage Collection

Chapter 12: Exception Handling

What Is a Bug?

Debugging

Exception Handling in Detail

Chapter 13: Python Web Programming

HTTP Communication Protocol

http.client Package

Conclusion

Introduction

Congratulations on purchasing Learn Python Programming, and thank you for doing so!

The accompanying sections will examine Python programming exhaustively, with a knowledgeable model that will assist you with improving comprehension of various programming ideas with the assistance of Python. You've ventured out to learning a programming language that is well known for its heartiness and effortlessness.

Accepting Python, for instance, this book presents the essential ideas of programming as well as spotlights on the programming language worldview (measure situated, object-arranged, work arranged), just as the programming language worldview in Python. Along these lines, the peruser learns Python as well as will make some simpler memories finding out about other programming dialects later on.

The presence of PC equipment execution has created huge amounts at a time. Simultaneously, programming dialects have likewise gone through a few changes, bringing about an assortment of programming standards. Python, with its effortlessness and adaptability, has advanced toward programming businesses disregarding many programming dialects. Since the beginning, we have encountered the highlights of Python as well as the primary concerns that the language is intended to address.

Registering has a long history tracing all the way back to millennia prior. Individuals can compute and recallhowever, what's significantly more wonderful is their capacity to get instruments. People have since quite a while ago utilized strategies and apparatuses to support exceptionally complex psychological errands like calculation and memory. By binds hitches in ropes to record dairy cattle and sheep in imprisonment, our precursors had for some time had the option to utilize the math device at bewildering speeds. With the improvement of current industrialization, the social interest for calculation is increasingly extreme. Duties should be determined, machines should be assembled, and waterways should be burrowed. New registering apparatuses are arising. Utilizing the standard of a logarithm, individuals made a slide rule. The slide rule can be moved in corresponding to computing duplication and division. Charles Babbage, a nineteenth Century Englishman, planned a machine that utilized a blend of pinion wheels to make exceptionally precise estimations, indicating the appearance of machine processing. Toward the start of the twentieth century, there were electromechanical processing machines. The electric the engine drives the change gears to "squeak" until the computation is made.

During World War II, the conflict invigorated the requirement for figuring in the public arena. Weapon configuration requires computations, like the plan of a tank or the external structure of a submarine direction. The militarization of society requires estimations, for example, train planning, asset portion, and populace assembly. Concerning the rockets and innovative ventures like atomic bombs, they need enormous measures of processing. The processing itself could even turn into a weapon. Significantly, it was Alan Turing who thought of the possibility of an all-inclusive PC hypothetical idea for the future improvement of the PC to make hypothetical planning. The top prize in software engineering is presently named after Turing out of appreciation for his incredible help. The Z3 PC, designed by the German architect Konrad Zuse, can compose programs. This development made the world all set for the advancement of the cutting-edge PC.

The most regularly considered PCs are work areas and PCs. Indeed, the PC likewise exists in cell phones, vehicles, home machines, and different gadgets. In any case, regardless of how to factor the shape, these PCs all follow the von Neumann structure. In any case, in the subtleties, there are enormous contrasts between PCs. A few PCs utilize a staggered reserve, some have just a console without a mouse, and some have tape stockpiling. The equipment of a PC is an extremely muddled subject. Luckily, most PC clients don't need to manage the equipment. This is because of the working framework (OS).

A working framework is a bunch of programming that sudden spikes in demand for a PC and deals with its equipment and programming assets. Both Microsoft's Windows and Apple's IOS are working frameworks. At the point when we program, more often than not it's through the working framework, which is the mediator to manage the equipment. The working framework gives a bunch of framework calls, which is the thing that the working framework upholds. At the point when a framework call is called, the PC plays out the relating activitythe same with squeezing a key on a piano, and the piano creates a comparing musicality. The working framework, in this manner, characterizes various library capacities to bunch framework calls to make a specific capacity, similar to a harmony comprised of a few tonesand by programming, we take this load of capacities and libraries to make lovely music that is helpful.