Course Brief

Python is very easy to learn mainly because it syntax is very close to English. One doesn’t have to worry about memory management or datatypes as Python takes care of all that stuff automatically. Python also influenced the development of other languages like Ruby, Swift and Cobra etc. Python is Object Oriented Programming (OOP) language which lets you write programs as simple as text searching to as complex as Artificial Intelligent, data analysis bots and machine learning programs. Python’s important feature is data analysis, to scan different chunks of data and process it to make important decisions and calculations.

Course Description

Become an expert Python Programmer in 3 months at Career Institute. Python is very popular language used by organizations like Facebook, NASA, Instagram, Amazon, Yahoo and Google to name a few. Python is recognized one of the easiest to learn languages due to its very easy syntax. This is the reason that Python is highly recommended to those who are new to programming. It is a High Level language which provides the capability to write Machine Learning programs. Through Python you can write Artificial Intelligent programs or Train robots. Python proves to be an excellent tool for data analysis. Due to its popularity Python is supported worldwide for its excellent features and abilities.

Instant Python: The Basics

In this module we'll Learn what is Python, why it is so famous and what are its major uses. I'll also get our hands wet with Python by discovering Python Interactive Interpreter (IDLE). We'll talk about variables, their types and usage. Then we move on to taking user input and storing it into variables for doing something useful with it later. Functions will be explored in detail and then we'll learn the concept of modules in Python context. Then we'll learn how to save and execute Python scripts followed by good treatment of strings.

Instant Python: The Basics

In this module we'll Learn what is Python, why it is so famous and what are its major uses. I'll also get our hands wet with Python by discovering Python Interactive Interpreter (IDLE). We'll talk about variables, their types and usage. Then we move on to taking user input and storing it into variables for doing something useful with it later. Functions will be explored in detail and then we'll learn the concept of modules in Python context. Then we'll learn how to save and execute Python scripts followed by good treatment of strings.

Lists and Tuples

We'll start this module with discussion of Sequences in Python and common operations on them. Then we'll move on to understanding, and implementing Lists in Python, learning along the way why it'd be used, We'll also learn tuples (another kind of sequence) which are immutable.

Working with Strings

We touched strings a little in "Instant Python: The Basics" module. Here we'll explore them in details. We'll learn basic string operations. Then we'll explore string formatting. We'll learn a handful of built-in strings method available in Python, such as center, find, lower, replace, split, and strip etc.

Dictionaries: Sequence without Indices

In this module we'll learn about Dictionary and their expert usage. Then we'll do a handful of examples involving dictionaries in real-world scenarios to better understand their applications.

Conditionals and Loops

We'll learn how to make decision depending on simple and complex logic, in this module. After building a solid understanding of logical operations we'll learn how to repeat our code by loops. Loops are a major programming construct of any language so we'll do several real-life examples to solidify the understanding of this crucial concept and its correct implementation.

Abstraction: Functions and Recursion

From this module we'll start learning Programming concepts which are not vital in Python but in all sorts of programming languages in general. We'll learn about the DRY principle. We'll discuss why, when and how functions are used. We'll learn about scoping and parameters. Then we'll study recursion and its implementation in Python.

Abstraction: Object Oriented Programming in Python

In this module we'll learn another very important concept the Object Oriented Programming in Python context. We'll discuss what it is and why it is used. We'll thoroughly go through critical concepts of OOP (object oriented programming) namely class, object, property and method. Then we'll learn how to put our newly acquired skills to use by doing real-world examples of OOP in Python.

Exception Handling

In this module we'll learn what are exceptions. We'll explore how, when and why exceptions are used. It is very important concept and skill which is required for any kind of serious application development. We'll do some examples in exception handling and see its benefits.

Magic Methods, Properties and Iterators

There are several magic methods in Python which require their own special module. Magic methods simplify some complex tasks for programmers in Python. In this module we'll discuss why we need them and how and when to use them.

Modules and Python Standard Library

Core Python is strong enough on its own but it is shipped with a powerful library called PSL (Python Standard Library). We'll learn what are modules and how to use them to make our code more manageable. Then we'll practice with some important PSL Modules.

Reading and Writing to Files

Most applications need to take their input from file and store their respective output in another or same file. We'll learn how we can read from and write to files in this module.

Python Graphical User Interface Programming: The Basics

Terminal based applications are favorites of programmers and system administrators but frightening for end-users. In this module we'll learn to create a GUI for our Python applications. We'll create a basic text editor to practice GUI Programming in Python.

Python Database API

Storing data in text files can be easy and fast but may not provide the level of sophistication required by serious application. For industry grade data storage we need to use a database application such as SQLite, MySQL, PostgreSQL, MongoDB, SQL Server, and Oracle to name a few. In this module we'll learn how to integrate Database with our Python Applications.