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LEARN PYTHON WITH OUR BEGINNER COURSE IN PYTHON

Become a Python expert with our detailed course designed to help you master Python

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Master Python Skills with My Code Tricks

Boost your career with Python course at My Code Tricks. Our courses are designed to help you learn Python Basics and Python standard modules.
Join us to enhance your Data Science skills and achieve your professional goals

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Learn Python Basics 

Python Modules

Python Projects

Learn the fundamentals of PYTHON to automate your task

Master Python standard Modules to create powerful reports and improve efficiency

Hands on experience on Python industry projects

Course Content

1.PYTHON ESSENTIALS INTRODUCTION

  • What is Python...?

  • A Brief history of Python

  • Why Should I learn Python...?

  • Installing Python

  • How to execute Python program

  • Write your first program

  • Variables

  • Numbers

  • Operator

  • if...statement

  • if...else statement

  • Elif...statement

  • The while...Loop

  • The for....Loop

  • continue ,break ,pass statement

2. Strings

  • Introduction to Python ‘string’ data type

  • Properties of a string

  • String built-in functions

  • Programming with strings

  • String formatting

  • ​

3. Lists and Tuples

  • Introduction to Python ‘list’ data type

  • Properties of a list

  • List built-in functions

  • Programming with lists

  • List comprehension

  • Introduction to Python ‘tuple’ data type

  • Tuples as Read only lists

4. Dictionary and Sets

  • Introduction to Python ‘dictionary’ data type

  • Creating a dictionary

  • Dictionary built-in functions

  • Introduction to Python ‘set’ data type

  • Set and set properties

  • Set built-in functions

5.User defined functions

  • Introduction to functions

  • Function definition and return

  • Function call and reuse

  • Function parameters

  • scope of variable (call by value, call by reference)

6. Modules and Packages

  • Importing module (from, import statement)

  • Anonymous functions(Lambda)

    • Filter

    • Map

    • Reduce

  • Math module

  • Datetime

7. Working with files

  • File objects and Modes of file operations

  • Reading, writing and use of ‘with’ keyword

  • read(), readline(), readlines(),write(),writeline()

  • Pickle module

8. Exception Handling in Python

  • Understanding exceptions

  • try, except, else and finally

  • raising exceptions with: raise, asser

9. OOPs concept

  • Class and object

  • Attributes

  • Inheritance

  • Overloading

  • Overriding

  • Data hiding

10. Regular expressions

  • Match function

  • Search function

  • Matching VS Searching

  • Modifiers

  • Patterns

11. Database(MySQL)

  • Introduction

  • Connections

  • Executing queries

  • Transactions

  • Handling error

12. Mathematical Computing with Python (NumPy)

  • NumPy Overview

  • Properties, Purpose, and Types of ndarray

  • Class and Attributes of ndarray Object

  • Basic Operations: Concept and Examples

  • Initializing arrays: random, ones, zeros

  • Accessing Array Elements: Indexing, Slicing, Iteration, Indexing with Boolean Arrays

  • Shape Manipulation

  • Linear Algebra

13. Data Manipulation with Python (Pandas)

  • Introduction to Pandas

  • Data Structures

  • Series

  • Data Frame

  • Missing Values

  • Data Operations

  • Data Standardization

  • Pandas File Read (CSV,TSV,EXCEL,ACCESS)and Write Support

  • Data Acquisition (Import & Export)

14. Data analysis – Visualization using Matplotlib

  • Introduction exploratory data analysis

  • Descriptive statistics, Frequency Tables and summarization

  • Univariate Analysis (Distribution of data & Graphical Analysis)

  • Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/columns

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