Python Programming in a nutshell | Udemy Free Download

Python Programming in a nutshell | Udemy
English | Size: 2.77 GB
Genre: eLearning

What you’ll learn
Learn Python Programming from scratch
Understand Python Constructs, Objects, Data Types, Sequences, Lists, Strings, Files, etc.
Define Functions & Decision Structures, Loop Structures, Boolean
Perform Simulation & Design
Define Python Classes, Libraries, Data Collections
Learn Object Oriented Programming
Learn GUI Programming, NumPy, SciPy
Understand Web Scraping with Python
Understand Real-world Applications of Python

A warm welcome to the Python Programming in a nutshell course by Uplatz.

Python is a versatile programming language that is used for a variety of tasks. It’s utilized in things like web development, data science, and software prototyping. Python, fortunately, provides a straightforward, easy-to-understand syntax for newcomers. Python is an ideal language for novices to learn to program because of this.

Python is a popular general-purpose programming language that is noted for its ease of use and large library of tools for data research and web development. The programming language is analogous to other high-level languages such as Java and JavaScript and supports many paradigms such as functional, procedural, and object-oriented programming.

This Python course will teach you the fundamentals of writing basic Python programs using the most common structures. It is not necessary to have any prior programming experience. By the conclusion of this course, you’ll know the advantages of Python programming in data analysis, building applications, and be able to construct simple Python programs. In this Python programming for beginners course, you will understand how programming’s building pieces work together, and be able to apply all of this knowledge to solve problems. This Python tutorial will walk you through the process of learning Python one step at a time.

You’ll study the foundations of the Python programming language, as well as programming best practices, in this Python course. You will also learn how to utilize Python data types and variables to represent and store data, as well as conditionals and loops to control the flow of your applications. To store groups of linked data, you’ll use complicated data structures like lists, sets, dictionaries, and tuples. You’ll develop scripts, define and describe your own custom functions, and handle failures. The Python course will help you acquire Object Oriented Programming skills using Python. Finally, you’ll learn how to utilize the Python standard Libraries, NumPy, SciPy, Python GUI programming, high performance components of Python, and other third-party libraries to identify and use modules.

The Python course concludes with demonstrating some real-world applications of Python and web scraping.

Course Objectives

Build simple Python programming components such as variables, conditional logic, loops, and functions are used to create basic programs

Know what Python is and why it’s important in data visualization, analytics, and automation

Create automatic actions with simple Python scripts

Be able to use fundamental Python structures such as strings, lists, and dictionaries.

Create Python objects on your own

Create engaging and interactive apps using user input

Python Programming in a nutshell – Course Syllabus

Python Programming Introduction

Numbers – Objects – Graphics

Sequences – Lists – Strings – Files

Defining Functions

Decision Structures

Loop Structures and Boolean

Simulation and Design

Defining Classes

Data Collections

Object Oriented Design – part 1

Object Oriented Design – part 2

Algorithm Design and Recursion – part 1

Algorithm Design and Recursion – part 2

Dictionary – Modules – File IO

GUI Programming with Python

Python in Nutshell

NumPy and SciPy

High Performance Components of Python

Real-world Applications of Python

Web Scraping with Python

Who this course is for:
Python Developers
Beginners & newbies aspiring for a career as Software Developer
Software Engineers – Python / R / C++
Machine Learning Engineers
Anyone interested in software/application programming
Data Analysts & Consultants
Data Engineers
Data Scientists
Analyst Programmers – Python/SQL
Python GUI Engineers
Embedded Python Developers
Cloud Engineers – Python, R
Application Developers
Lead Principle Python Developers
Python Developers – Django/API
Test Automation Engineers – Python

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