README.md

layout	default
title	Python Programming — Techbase STEM Academy

🐍 Python Programming — Techbase STEM Academy

Live: https://techbaseng.github.io/techbase-python/

Tech stack: static HTML lessons (one file per lesson) + Jekyll (minima theme) for the course README page; index.html is a hand-built static homepage served as-is, outside Jekyll's layout system.

Free Python course · Techbase Consultant Services, Ibadan, Nigeria
← All Courses | GitHub Repo

Prerequisites: None — standalone course.

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Phase 1 — Python Basics (01–06)

#	Topic	Link
01	Introduction to Python: Setup and First Program	lesson_01
02	Python Comments and Variables	lesson_02
03	Python Data Types, Numbers, Casting and Booleans	lesson_03
04	Python Strings: Formatting Mastery	lesson_04
05	Python String Methods, Operators and Arithmetic	lesson_05
06	Python Operators: Comparison, Logical, Bitwise & Precedence	lesson_06

Phase 2 — Data Structures & Conditions (07–14)

#	Topic	Link
07	Python Lists: Create, Access, Change, Add & Remove	lesson_07
08	Python Lists Advanced: Looping, Comprehensions & Methods	lesson_08
09	Python Tuples	lesson_09
10	Python Sets — The Collection That Hates Duplicates	lesson_10
11	Python Dictionaries — Zero to Real-World Mastery	lesson_11
12	Python Dictionary Methods & If/Elif/Else Conditions	lesson_12
13	Advanced Conditionals — Shorthand If, Nested If, Match	lesson_13
14	Python While Loops, For Loops and the range() Function	lesson_14

Phase 3 — Functions, OOP & Files (15–23)

#	Topic	Link
15	Python Functions, Arguments, *args/**kwargs and Scope	lesson_15
16	Python Decorators, Lambda Functions, Recursion and Generators	lesson_16
17	Iterators, Modules, Dates and Math in Python	lesson_17
18	JSON, RegEx, PIP, Error Handling and String Formatting	lesson_18
19	Python None, User Input, Virtual Environments and Arrays	lesson_19
20	Python OOP: Classes, Objects, init and self	lesson_20
21	Python OOP — Inheritance & Polymorphism	lesson_21
22	Python Encapsulation, Inner Classes and File Handling	lesson_22
23	Python File Write, Create and Delete	lesson_23

Phase 4 — NumPy & Data Science (24–31)

#	Topic	Link
24	Introduction to NumPy: Arrays, Indexing and Slicing	lesson_24
25	NumPy Deep Dive: Data Types, Shape, Reshape and Joining	lesson_25
26	NumPy Array Operations: Splitting, Searching, Sorting & Filtering	lesson_26
27	NumPy Random Distributions, Seaborn and Universal Functions	lesson_27
28	NumPy ufuncs — Arithmetic, Rounding, Logs & Summations	lesson_28
29	Introduction to Pandas — Data Analysis with Python	lesson_29
30	Pandas — Analyzing DataFrames and Cleaning Data	lesson_30
31	Pandas Correlations, Plotting & Introduction to Matplotlib	lesson_31

Phase 5 — Visualisation & Machine Learning (32–35)

#	Topic	Link
32	Matplotlib: Markers, Lines, Labels, Grids, Subplots & Bar Charts	lesson_32
33	Matplotlib Histograms, Pie Charts & ML Statistics	lesson_33
34	Percentiles, Distributions, Normal Distribution & Linear Regression	lesson_34
35	Python Machine Learning — Regression, Scaling & Decision Trees	lesson_35

Phase 6 — DSA & Algorithms (36–39)

#	Topic	Link
36	Python DSA — Lists, Searching & Bubble Sort	lesson_36
37	Sorting Algorithms: Selection, Insertion, Quicksort & Radix Sort	lesson_37
38	Merge Sort, Stacks, Queues, Linked Lists & Hash Tables	lesson_38
39	Trees, Binary Trees, AVL Trees and Graphs	lesson_39

Phase 7 — Databases & Reference (40–45)

#	Topic	Link
40	Python and MySQL — Databases, Tables & Inserting Data	lesson_40
41	Python MySQL — Querying, Filtering, Sorting & Joining Data	lesson_41
42	Python and MongoDB — Databases, Collections & Finding Data	lesson_42
43	Python MongoDB — Querying, Sorting, Updating & Deleting	lesson_43
44	Python Built-in Reference: All Methods & Functions	lesson_44
45	Python How-Tos, Examples, Study Plan & Interview Prep	lesson_45

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