Python Programming: Introduction

Python Programming: Introduction

Description

Python® has been around for decades, but it’s still one of the most versatile and popular programming languages out there. Whether you’re relatively new to programming or have been developing software for years, Python is an excellent language to add to your skill set. In this course, you’ll learn the fundamentals of programming in Python, and you’ll develop applications to demonstrate your grasp of the language.

Course Objectives:

In this course, you will develop simple command-line
programs in Python.

You will:

  • Set up Python and develop a simple application.
  • Declare and perform operations on simple data types, including strings,numbers, and dates.
  • Declare and perform operations on data structures, including lists, ranges,tuples, dictionaries, and sets.
  • Write conditional statements and loops.
  • Define and use functions, classes, and modules.
  • Manage files and directories through code.
  • Deal with exceptions.

Garis Besar Pelatihan

Lesson 1: Setting Up Python and Developing a Simple Application
  • Topic A: Set Up the Development Environment
  • Topic B: Write Python Statements
  • Topic C: Create a Python Application
  • Topic D: Prevent Errors
Lesson 2: Processing Simple Data Types
  • Topic A: Process Strings and Integers
  • Topic B: Process Decimals, Floats, and Mixed Number Types
Lesson 3: Processing Data Structures
  • Topic A: Process Ordered Data Structures
  • Topic B: Process Unordered Data Structures
Lesson 4: Writing Conditional Statements and Loops in Python
  • Topic A: Write a Conditional Statement
  • Topic B: Write a Loop
Lesson 5: Structuring Code for Reuse
  •  Topic A: Define and Call a Function
  • Topic B: Define and Instantiate a Class
  • Topic C: Import and Use a Module
Lesson 6: Writing Code to Process Files and Directories
  • Topic A: Write to a Text File
  • Topic B: Read from a Text File
  • Topic C: Get the Contents of a Directory
  • Topic D: Manage Files and Directories
Lesson 7: Dealing with Exceptions
  • Topic A: Handle Exceptions
  • Topic B: Raise Exceptions

Advanced Programming Techniques with Python

Description

Python® continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you’ll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications

Course Objectives:

In this course, you will expand your Python proficiencies.

You will:

  • Select an object-oriented programming approach for Python applications.
  • Create object-oriented Python applications.
  • Create a desktop application.
  • Create data-driven applications.
  • Create and secure web service-connected applications.
  • Program Python for data science.
  • Implement unit testing and exception handling.
  • Package an application for distribution.

Course Content

Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications
  • Implement Object-Oriented Design
  • Leverage the Benefits of Object-Oriented Programming
Lesson 2: Creating Object-Oriented Python Applications
  • Create a Class
  • Use Built-in Methods
  • Implement the Factory Design Pattern
Lesson 3: Creating a Desktop Application
  • Design a Graphical User Interface (GUI)
  • Create Interactive Applications
Lesson 4: Creating Data-Driven Applications
  • Connect to Data
  • Store, Update, and Delete Data in a Database
Lesson 5: Creating and Securing a Web Service-Connected App
  • Select a Network Application Protocol
  • Create a RESTful Web Service
  • Create a Web Service Client
  • Secure Connected Applications
Lesson 6: Programming Python for Data Science
  • Clean Data with Python
  • Visualize Data with Python
  • Perform Linear Regression with Machine Learning
Lesson 7: Implementing Unit Testing and Exception Handling
  • Handle Exceptions
  • Write a Unit Test
  • Execute a Unit Test
Lesson 8: Packaging an Application for Distributio
  • Create and Install a Package
  • Generate Alternative Distribution Files

Target Audience

This course is designed for people who want to learn the Python programming language in preparation for using Python to develop web and desktop applications.

Prerequisites

It is recommended, but not required, that you have at least six months experience programming in an object-oriented language. Even if you don’t, this course can be useful to those that are new to programming.

Categories Software Developer

Material Includes

  • 2 hari berinteraksi dengan Instruktur
  • Akses e-Learning tanpa batas waktu
  • E-Sertifikat

Python Programming: Full Package

  • 🖥️ Software Developer
  • 🔰 Level: Beginner - Intermediate
  • 🌎 Bahasa: Indonesia
  • 📜 Sertifikat: E-Sertifikat
  • 💻 Akses: e-Learning

Target Audience

This course is designed for existing Python programmers who have at least one year of
Python experience and who want to expand their programming proficiency in Python 3

Prerequisites

To ensure your success in this course, you should have experience with object-oriented
programming and Python 2.x or 3.x. You can obtain this level of skills and knowledge by taking the following Logical Operations courses:

  • Introduction to Programming with Python®
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