Python Programming Bootcamp: From Basics To Expert (2025)


Python Programming Bootcamp: From Basics To Expert (2025)
Python Programming Bootcamp: From Basics To Expert (2025)
Published 2/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Python basics, data structures, OOP, functional programming, API , Data Exploration

What you’ll learn

Explore Python Data Structures: Gain proficiency in using strings, tuples, lists, dictionaries, and their operations.

Handle Files and Exceptions: Develop skills in file handling and managing exceptions for robust programming.

Utilize Python Libraries: Explore special functions, random module, collections, and modules like datetime, time, and pytz.

Implement Advanced Techniques: Work with regular expressions, object-oriented programming (OOP), and Python’s operating system interfaces.

Work with Multithreading and Multiprocessing: Learn to optimize tasks using Python threading and multiprocessing.

Requirements

No Prior Programming Experience Needed: This course is designed for absolute beginners as well as those looking to deepen their Python knowledge.

A Computer with Internet Access: Learners need a Windows, macOS, or Linux computer with an active internet connection for downloading tools and materials.
Basic Computer Skills: Familiarity with using a computer, navigating files, and installing software is helpful but not mandatory.

Curiosity and Willingness to Learn: A positive mindset and eagerness to explore programming concepts will help you succeed in this course.

Description

Overview

Section 1: Introduction

Lecture 1 Introduction : Topics of Entire course

Lecture 2 Features of Python

Section 2: Python Installation and Editors

Lecture 3 Installation of Python in Windows
Lecture 4 Python in Linux and Virutalenv

Lecture 5 Editors

Lecture 6 Python print statement and triple quotes

Lecture 8 Operator

Lecture 9 Type casting

Section 4: Python Control statement

Lecture 10 If and else statement

Lecture 11 elif statement

Section 5: Loop and break, continue and else statement

Lecture 12 loop and for loop

Lecture 13 Break, continue and else statement

Lecture 14 While loop

Section 6: String

Lecture 15 What is string and string indexing

Lecture 16 String Slicing and string functions

Lecture 19 String exercise

Section 7: Tuple

Lecture 20 Tuple introduction, indexing, slicing, packing and unpacking

Lecture 21 Tuple methods and loop over the tuple

Section 8: List , List methods, list compression

Lecture 22 Introduction of list , List indexing and slicing

Lecture 23 List methods

Lecture 24 List sort method

Lecture 25 List Comprehension

Section 9: Dictionary

Lecture 26 Dictionary and its usefulness

Lecture 29 Dictionary comprehension and Exercises

Section 10: Sets

Lecture 30 Sets and its use case

Section 11: File Handling

Lecture 31 Reading file

Lecture 32 Writing files and appending file

Lecture 33 Placing pointer using seek and tell methods

Lecture 34 Pickle module, saving complex data structure

Section 12: Function

Lecture 35 Function and Default argument

Section 13: Modules

Lecture 38 Creating and Importing modules

Lecture 39 Locating Module

Lecture 40 Packages

Section 14: Time

Lecture 41 Time module

Lecture 42 Datetime module and dealing with timezones

Section 15: Exception handling

Lecture 43 Need of Exception handling and how to handle Errors

Lecture 44 Else , finally statement and custom exception

Lecture 45 Traceback module to know exact error

Section 16: Collections module

Lecture 46 Counter

Lecture 47 Deque

Lecture 48 Named tuple

Section 17: Random module

Lecture 49 Random functions

Lecture 50 Exercise

Section 18: Python Special Functions

Lecture 51 Lambda and Filter function

Lecture 52 Map and Reduce

Lecture 53 Eval and Isinstance

Lecture 54 repr and sum

Section 19: Class

Lecture 57 Class method

Lecture 58 Inheritance, Method overriding

Lecture 59 Multiple and Multilevel Inheritance

Lecture 60 Operator overloading

Lecture 61 Static method

Lecture 63 Property, setter, deleter

Lecture 64 Abstract class

Lecture 65 __call__ method

Lecture 66 __new__ method creating singleton class

Lecture 67 class exercise, making new class from existing class

Section 20: Regular expression

Lecture 68 Regular expression, re module and function of re module

Lecture 69 Regular expression special characters

Lecture 70 Regular expression back slash / characters

Lecture 71 Regular expression exercises

Section 21: Thread

Lecture 72 Thread

Lecture 73 Thread locks

Lecture 74 Thread Rlock

Lecture 75 Daemon Thread

Lecture 76 Global Interpreter Lock (GIL)

Lecture 77 IO bound and CPU bound task

Lecture 78 Queue and Queue With Thread

Lecture 79 Thread with Queue, producer and consumer problem

Section 22: Multiprocessing

Lecture 80 Multiprocessing

Lecture 81 Multiprocessing communication

Section 23: Asynchronous Programming

Lecture 82 Asynchronous Programming using Async and Await key words

Lecture 83 Solving Producer and Consumer problem using Asynchronous Programming

Section 24: OS module and Subprocess

Lecture 84 Exploring the OS with OS module

Lecture 85 OS walk and system command

Lecture 86 Subprocess

Section 25: ArgumentParser module

Lecture 87 Command line parser and Argument parser

Lecture 88 Argument parser options

Section 26: Input and output to program

Lecture 89 ConfigParser Module

Lecture 90 Logger

Section 27: Special topics

Lecture 91 Decorator

Lecture 92 Generator

Section 28: Data Exploration

Lecture 93 Numpy, creating array and saving arrays

Lecture 94 Pandas, Creating dataframe and pandas series

Lecture 95 Pandas, handling missing values

Lecture 96 Changing values using replace, map, and apply

Lecture 97 Aggregation functions using groupby and setting indexes

Lecture 98 Filtering row using filter, and query

Lecture 99 Concatenating and merging of two data-frame using Pandas

Lecture 101 Visualise the data-frame using Matplotlib

Section 29: Python with Database MYSQL

Lecture 102 Creating connection

Lecture 103 Managing connection using Singleton class and Get, insert data operations

Section 30: Web API

Lecture 104 What is web API

Lecture 105 Introduction of FastAPI, Get Request

Lecture 106 FastAPI handling Post request

Lecture 107 Getting data from Database using FastAPI

Lecture 108 FastAPI Async Programming

Lecture 109 Authentication using API key

Section 31: Exercise

Lecture 110 Sort a list

Lecture 111 Merging list

Lecture 112 Project: Search for a Specific String in Files Within a Given Folder

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