Discover Python Programming With Hands-On Bootcamp

Transform your skills with our Python programming bootcamp. Learn Python syntax, JSON, file handling, and databases in a step-by-step course. Read more.

Derrick

5.0( 1 REVIEWS )

871 STUDENTS

8h 1m

Course Skill Level

Beginner

Time Estimate

8h 1m

Derrick Mwiti is a Google Developer Expert in machine learning. He has a great passion for sharing knowledge. He is an avid contributor to the data science community.

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About This Course
Curriculum

About This Course

Who this course is for:

Programmers
Anyone Interested in Starting or Transitioning to a Career in Programming

What you’ll learn:

Python Syntax: Master the fundamentals of writing Python code using correct syntax.
Working with JSON: Gain the skills to work with JSON in Python, a crucial capability for building applications that require data exchange.
Using Built-in Python Decorators
Creating Custom Python Decorators
File Handling in Python: Work with various file types such as text and CSV files.
Writing Data to Files: Learn how to write data to CSV, text, and JSON files.
Database Interaction: Work with databases like SQLite, PostgreSQL, and MySQL in Python.
Problem Modeling with Python Classes: Learn to model and solve problems using Python classes.

Requirements:

No Prior Knowledge Required: This course is designed for beginners, so no prior programming experience is necessary.

With over 100 lectures, this Python programming bootcamp will take you from zero to proficiency in Python. You’ll learn Python 3, the latest and most stable version of the language. By the end of this course, you’ll have the skills to perform a wide range of tasks in Python.

Python is one of the most in-demand skills today, and this course includes exercises and solutions to help you solidify your knowledge. Add Python to your CV and take your career to the next level. See you in the course!

Shape your future. My courses can be your roadmap – learn more now!

Our Promise to You

This version is more concise, structured, and polished while maintaining the original meaning and intent.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about Python Programming.

Course Curriculum

Section 1 - Python Introduction
	Intro	00:00:00
	Download Anaconda	00:00:00
	Linux Launch Notebook	00:00:00
	Windows Launch Notebook	00:00:00
	Style Guide For Python Code	00:00:00
	pip and Virtualenv	00:00:00
	pip and virtualenv – Practical	00:00:00
	Python Operations and Comments	00:00:00
	Python Data Types	00:00:00
	Python Lists	00:00:00
	Lists – Negative Indexing	00:00:00
	Python Dictionaries	00:00:00
	Python Tuples	00:00:00
	Python Sets	00:00:00
	Python Boolean Type	00:00:00
	Conditional Statements	00:00:00
	Python Functions	00:00:00
	Python For Loop	00:00:00
	Python While Loop	00:00:00
	Python Map Function	00:00:00
	Python Range Function	00:00:00
	Python Exercise	00:00:00
	Python Project Solutions	00:00:00
Section 2 - args And kwargs
	args & kwargs	00:00:00
	args & kwargs exercise	00:00:00
	args & kwargs solutions	00:00:00
Section 3 - String Methods
	String Methods	00:00:00
	Strings Exercise	00:00:00
	String Solutions	00:00:00
Section 4 - Working With Dates
	Dates 101	00:00:00
	Date Operations	00:00:00
	Going into the Future	00:00:00
	Going Back in Time	00:00:00
	Date from Timestamp	00:00:00
	Setting the Timezone	00:00:00
	Dates Exercise	00:00:00
	Solutions	00:00:00
Section 5 - Taking User Input
	Taking User Input – String Concatenation	00:00:00
	Taking User Input – Part Two	00:00:00
Section 6 - Working With Files in Python
	Files 101	00:00:00
	Writing To Files	00:00:00
	Read CSV	00:00:00
	Write To CSV	00:00:00
	Exercise	00:00:00
	Solution	00:00:00
Section 7 - Working with JSON in Python
	JSON	00:00:00
	Write JSON Files	00:00:00
	Read JSON Files	00:00:00
	Exercise	00:00:00
	Solution	00:00:00
Section 8 - Exception Handling
	Handling Exceptions	00:00:00
	Raising an Exception	00:00:00
	Assertion Error	00:00:00
	Zero Division Error	00:00:00
	Name Error	00:00:00
	Type Error	00:00:00
	try except else	00:00:00
	Module Not Found Error	00:00:00
	Exercise	00:00:00
	Solution – Part 1	00:00:00
	Solution – Part 2	00:00:00
Section 9 - Python Decorators
	Decorator Concepts	00:00:00
	Python Decorators	00:00:00
	Apply Two Decorators	00:00:00
	Applying Three Decorators	00:00:00
	Decorator with Arguments	00:00:00
	General Purpose Decorator	00:00:00
	Decorator with Arguments	00:00:00
	Debugging Decorators	00:00:00
	Decorator Exercise	00:00:00
	Decorator Solutions	00:00:00
Section 10 - Using Databases in Python
	Install Databases	00:00:00
	Databases	00:00:00
	Connecting to SQLITE	00:00:00
	SQLITE – Table Creation	00:00:00
	SQLITE – Insert & Select Queries	00:00:00
	SQLITE – Update Query	00:00:00
	SQLITE – Delete Query	00:00:00
	Establishing MYSQL Connection	00:00:00
	MYQL – Table Creation	00:00:00
	MYSQL – Insert & Select	00:00:00
	MYSQL – Join	00:00:00
	MYSQL – Update Query	00:00:00
	MYSQL – Delete in Presence of Foreign Key	00:00:00
	POSTGRESQL – Connection	00:00:00
	POSTGRESQL – Table Creation	00:00:00
	POSTGRES – Insert Table	00:00:00
	POSTGRESQL – Select & Join	00:00:00
	POSTGRESQL – Update Query	00:00:00
	POSTGRESQL – Delete	00:00:00
Section 11 - Python Modules
	Python Modules & Packages	00:00:00
Section 12 - Object Oriented Programming
	Class Modeling	00:00:00
	Creating Classes	00:00:00
	Inheritance	00:00:00
	Class Methods Vs Static Methods	00:00:00
	Calling a Static Method Using a Class Based Method	00:00:00
	Exercise	00:00:00
	Solution	00:00:00
Section 13 - Regular Expressions in Python
	Raw Strings	00:00:00
	Match Vs Search	00:00:00
	Search a Sentence	00:00:00
	Match Any Three consecutive number	00:00:00
	Match Three Consecutive Letters	00:00:00
	Match a Number, a Lowercase Letter, Followed by an Uppercase Letter	00:00:00
	Match Any Character Except a Newline	00:00:00
	Match Two Characters Followed by Any Set of Defined Letter	00:00:00
	Match Characters that are not Letters and Space	00:00:00
	Match Special Characters	00:00:00
	Escaping a Backslash	00:00:00
	More on Backslashes	00:00:00
	Search Alphanumerics & Non-Alphanumerics	00:00:00
	Search Digits and Non-Digits	00:00:00
	Match on Whitespace & Everything Minus Whitespace	00:00:00
	combining them	00:00:00
	Match by How Many Times a Search Criteria Occurs	00:00:00
	Match One or More Repetitions	00:00:00
	Match if the Pattern Occurs Once or Doesn’t Occur at All	00:00:00
	Greedy vs Non-Greedy Search	00:00:00
	Match a Certain Number of Repetitions	00:00:00
	Match a Group	00:00:00
	Create Named Groups	00:00:00
	Back Referencing	00:00:00
	Back Reference Named Group	00:00:00
	Failing to Capture Groups	00:00:00
	Conditional Matching	00:00:00
	Commenting in a Regular Expression	00:00:00
	Working with Other Languages	00:00:00
	Debugging	00:00:00
	Ignore Case Flag	00:00:00
	Compiling ReGex Expressions	00:00:00
	Search and Replace	00:00:00
	Exercise	00:00:00
	Solution	00:00:00
Section 14 - Unit Testing
	Unit Testing	00:00:00
	Course Materials for Python	00:00:00