Fundamentals of Programming using Python 3

Basics of Python Programming for IT Professionals

What you'll learn
Overview of GCP and Setup Ubuntu VM
Setup Postgres DB using Docker
Postgres Database Operations - Basic DDL and DML
Setup Development Environment for Python 3 - Python, Pycharm and Jupyter Notebook
Basic Programming Constructs
Pre-defined Functions, User Defined Functions, Arguments, Lambda Functions
Overview of Collections such as List, Set and Dict as well as Tuples
Manipulating Collections using Map Reduce APIs

Requirements
Computer with 4+ GB RAM and 64 bit Processor
Basic Programming Skills
64 bit Operating System such as Windows 10 or Linux or Mac

Description
This course is primarily designed to learn Python as Programming language to build web or mobile applications, data engineering applications, automation etc.

About Python

Python is one of the leading programming language. It is an open source database and used for different types of applications.

Web Applications

Mobile Applications

Data Engineering Applications

Server Automation

Troubleshooting and Debugging

Quality Assurance

Data Science based Applications

and many many more

It is one of the top 3 programming languages for almost a decade now along with Java and Java Script.

Course Details

This course is primarily designed to go through core programming using Python. It will serve as foundation for role specific courses for different types of IT Professionals or Roles. As part of this course you will be learning the following topics under core programming using Python. We are actively working on creating content. Content creation for 80% of the below modules is already done. We are in the process of video editing so that we can publish the content as part of this course.

Overview of GCP and Setup Ubuntu VM

Setup Postgres DB using Docker

Postgres Database Operations - Basic DDL and DML

Getting Started with Python

Basic Programming Constructs

Pre Defined Functions

User Defined Functions

Overview of Collections - list and set

Overview of Collections - dict and tuple

Manipulating Collections using loops

Overview of Map Reduce Libraries

Overview of Pandas Libraries

Database Programming - CRUD Operations

Database Programming - Batch Operations

Desired Audience

Here are the desired audience for this course.

College students and entry level professionals to get hands on expertise with respect to programming using Python to be prepared for the interviews.

Experienced application developers to understand key aspects of Python Programming to build Python based Web or Mobile Applications.

Data Engineers and Data Warehouse Developers to understand key aspects of Python Programming to build batch or streaming pipelines.

Testers to improve their scripting abilities to validate data in the files tables etc.

DevOps Engineers, System Administrators, Database Administrators etc to understand Python as scripting language for the automation of day to day tasks.

Data Scientists to be proficient in Python Programming to build the models.

This course only covers Fundamentals of Python which is useful for almost all the hands on technical roles. It does not include the role specific libraries.

Prerequisites

Here are the prerequisites before signing up for the course.

Logistics

Computer with decent configuration

At least 4 GB RAM

8 GB RAM is highly desired

Browser such as Chrome, Internet Explorer, Firefox etc.

High Speed Internet

Desired Skills

Engineering or Science Degree

Ability to use computer

Knowledge or working experience with databases is highly desired

Training Approach

Here are the details related to the training approach.

It is self paced with reference material, code snippets and videos.

One can either use environment provided by us or setup their own environment using GCP and Docker.

Modules will be published as and when they are ready. We would recommend to complete 2 modules every week by spending 4 to 5 hours per week.

It is highly recommended to take care of the exercises at the end to ensure that you are able to meet all the key objectives for each module.

Support will be provided either through chat or email.

Spend 4 to 5 hours per week up to 8 weeks and complete all the exercises to get best out of this course.

Self Evaluation

The course is designed in such a way that one can self evaluate through the course and confirm whether the skills are acquired.

Here is the approach we recommend you to take this course.

Go through the consolidated exercises and see if you are able to solve the problems or not.

Make sure to follow the order we have defined as part of the course.

After each and every section or module, make sure to solve the exercises. We have provided enough information to validate the output of your queries.

After the completion of the course try to solve the exercises using consolidated list.

Keep in mind that you will be reviewing the same exercises before the course, during the course as well as at the end of the course.

By the end of the course, if you are able to solve the problems, then you can come to a conclusion that you are able to master the core programming using one of the most popular programming language called as Python.

Who this course is for:
College students and entry level professionals to get hands on expertise with respect to programming using Python to be prepared for the interviews.
Experienced application developers to understand key aspects of Python Programming to build Python based Web or Mobile Applications.
Data Engineers and Data Warehouse Developers to understand key aspects of Python Programming to build batch or streaming pipelines.
Testers to improve their scripting abilities to validate data in the files tables etc.
DevOps Engineers, System Administrators, Database Administrators etc to understand Python as scripting language for the automation of day to day tasks.

More Info