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🧹 Data Wrangling

The unglamorous but essential craft of cleaning, reshaping, and preparing messy real-world data before analysis can even begin.
Python for Data Analysis
by Wes McKinney • 2011
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
4.17
2k+
🔬 Scientific Computing📊 Data Visualization⏳ Time Series Analysis
Python for Data Analysis Summary
Python for Data Analysis 91%
The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.
by Wes McKinney 2011
4.17
2k+ ratings
🔬 Scientific Computing📊 Data Visualization⏳ Time Series Analysis
PYTHON FOR DATA ANALYSIS
by Ryshith Doyle • 2019
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
3.67
6
🐍 Python Programming📊 Data Analysis🧱 Data Structures
PYTHON FOR DATA ANALYSIS Summary
PYTHON FOR DATA ANALYSIS 90%
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
by Ryshith Doyle 2019
3.67
6 ratings
🐍 Python Programming📊 Data Analysis🧱 Data Structures
Python for Data Analysis
by Oscar Scratch • 2019
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
3.50
2
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization
Python for Data Analysis Summary
Python for Data Analysis 90%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 ratings
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization
Doing Data Science
by Cathy O'Neil • 2013
Your model is lying to you. The ninety percent of data science that algorithms won't fix.
3.73
567
📊 Data Science📈 Statistical Thinking🔧 Feature Engineering
Doing Data Science Summary
Doing Data Science 90%
Your model is lying to you. The ninety percent of data science that algorithms won't fix.
by Cathy O'Neil 2013
3.73
567 ratings
📊 Data Science📈 Statistical Thinking🔧 Feature Engineering
Python for Informatics
by Charles Severance • 2002
Learn Python by probing data: scrape the web, query databases, and make the file system obey.
3.99
619
🐍 Python Programming📘 Introductory Programmingℹ️ Informatics
Python for Informatics Summary
Python for Informatics 90%
Learn Python by probing data: scrape the web, query databases, and make the file system obey.
by Charles Severance 2002
3.99
619 ratings
🐍 Python Programming📘 Introductory Programmingℹ️ Informatics
Python Data Science Handbook
by Jake VanderPlas • 2016
Four libraries, one workflow: the Python path from raw data to validated predictions.
4.29
676
📊 Data Science🤖 Machine Learning🐍 Scientific Python
Python Data Science Handbook Summary
Python Data Science Handbook 90%
Four libraries, one workflow: the Python path from raw data to validated predictions.
by Jake VanderPlas 2016
4.29
676 ratings
📊 Data Science🤖 Machine Learning🐍 Scientific Python
Practical SQL
by Anthony DeBarros • 2022
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
4.26
239
💾 Sql📊 Data Analysis🗃️ Relational Databases
Practical SQL Summary
Practical SQL 90%
Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.
by Anthony DeBarros 2022
4.26
239 ratings
💾 Sql📊 Data Analysis🗃️ Relational Databases
Learning Python Data Visualization
by Chad Adams • 2014
Turn spreadsheets and web data into SVG charts with Python, no design background required.
3.00
5
📊 Data Visualization🐍 Python Programming📈 Chart Creation
Learning Python Data Visualization Summary
Learning Python Data Visualization 90%
Turn spreadsheets and web data into SVG charts with Python, no design background required.
by Chad Adams 2014
3.00
5 ratings
📊 Data Visualization🐍 Python Programming📈 Chart Creation
Fundamentals of Data Engineering
by Joe Reis • 2022
Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.
4.16
945
🛠️ Data Engineering🏗️ Data Architecture🔗 Data Pipelines
Fundamentals of Data Engineering Summary
Fundamentals of Data Engineering 89%
Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.
by Joe Reis 2022
4.16
945 ratings
🛠️ Data Engineering🏗️ Data Architecture🔗 Data Pipelines
Python for Excel
by Felix Zumstein • 2021
Turn Excel into a Python engine: automate reports, scale past a million rows, and quit copy-pasting.
4.00
41
📊 Data Analysis🤖 Spreadsheet Automation🐼 Pandas Dataframes
Python for Excel Summary
Python for Excel 89%
Turn Excel into a Python engine: automate reports, scale past a million rows, and quit copy-pasting.
by Felix Zumstein 2021
4.00
41 ratings
📊 Data Analysis🤖 Spreadsheet Automation🐼 Pandas Dataframes
Hadoop
by Tom White • 2009
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
3.93
1k+
📊 Big Data🖧 Distributed Systems🐘 Hadoop Ecosystem
Hadoop Summary
Hadoop 89%
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
by Tom White 2009
3.93
1k+ ratings
📊 Big Data🖧 Distributed Systems🐘 Hadoop Ecosystem
Confident Data Skills
by Kirill Eremenko • 2018
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
4.12
211
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics
Confident Data Skills Summary
Confident Data Skills 89%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics
Python Data Science
by Christopher Wilkinson • 2019
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
2.50
2
🐍 Python Programming📊 Data Science📐 Programming Fundamentals
Python Data Science Summary
Python Data Science 89%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 ratings
🐍 Python Programming📊 Data Science📐 Programming Fundamentals
Practical Statistics for Data Scientists
by Peter Bruce • 2017
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
4.02
545
🛠️ Practical Data Science📈 Applied Statistics🔍 Exploratory Data Analysis
Practical Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 89%
The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.
by Peter Bruce 2017
4.02
545 ratings
🛠️ Practical Data Science📈 Applied Statistics🔍 Exploratory Data Analysis
Python Machine Learning Case Studies
by Danish Haroon • 2017
Five Python case studies in machine learning: from data cleanup to a scored model, step by step.
2.60
5
📊 Data Science🤖 Machine Learning🔍 Exploratory Data Analysis
Python Machine Learning Case Studies Summary
Python Machine Learning Case Studies 89%
Five Python case studies in machine learning: from data cleanup to a scored model, step by step.
by Danish Haroon 2017
2.60
5 ratings
📊 Data Science🤖 Machine Learning🔍 Exploratory Data Analysis
Practical Statistics for Data Scientists
by Peter Bruce • 2020
The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.
4.21
261
📊 Statistical Computing🔍 Exploratory Data Analysis📐 Statistical Inference
Practical Statistics for Data Scientists Summary
Practical Statistics for Data Scientists 89%
The statistics data scientists actually use, from EDA to ensembles, with working R and Python code.
by Peter Bruce 2020
4.21
261 ratings
📊 Statistical Computing🔍 Exploratory Data Analysis📐 Statistical Inference
Practical Time Series Analysis
by Aileen Nielsen • 2019
When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.
3.77
64
📈 Time Series Analysis🔧 Feature Engineering🧹 Data Preparation
Practical Time Series Analysis Summary
Practical Time Series Analysis 89%
When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.
by Aileen Nielsen 2019
3.77
64 ratings
📈 Time Series Analysis🔧 Feature Engineering🧹 Data Preparation
Data Strategy
by Bernard Marr • 2017
Profit from the data firehose: pick the right data, build a company that acts on it.
3.77
418
📊 Data Strategy📈 Business Intelligence💾 Big Data
Data Strategy Summary
Data Strategy 89%
Profit from the data firehose: pick the right data, build a company that acts on it.
by Bernard Marr 2017
3.77
418 ratings
📊 Data Strategy📈 Business Intelligence💾 Big Data
Data Science
by John D. Kelleher • 2018
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
3.90
876
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling
Data Science Summary
Data Science 89%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 ratings
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling
The Quick Python Book
by Naomi R. Ceder • 2000
Indentation is syntax, functions are data, and the standard library does half the work already.
3.87
277
🐍 Python Language📚 Language Reference📜 Scripting Languages
The Quick Python Book Summary
The Quick Python Book 89%
Indentation is syntax, functions are data, and the standard library does half the work already.
by Naomi R. Ceder 2000
3.87
277 ratings
🐍 Python Language📚 Language Reference📜 Scripting Languages
Big Data
by Viktor Mayer-Schönberger • 2013
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
3.69
9k+
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data
Big Data Summary
Big Data 89%
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
by Viktor Mayer-Schönberger 2013
3.69
9k+ ratings
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data
Low-Code AI
by Gwendolyn Stripling • 2023
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
4.33
6
🛠️ Practical Ml📊 Data Exploration🔧 Feature Engineering
Low-Code AI Summary
Low-Code AI 89%
Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.
by Gwendolyn Stripling 2023
4.33
6 ratings
🛠️ Practical Ml📊 Data Exploration🔧 Feature Engineering
DAMA-DMBOK
by DAMA International • 2017
Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.
4.15
172
👔 Data Governance🏢 Enterprise Data Strategy🧱 Data Architecture
DAMA-DMBOK Summary
DAMA-DMBOK 89%
Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.
by DAMA International 2017
4.15
172 ratings
👔 Data Governance🏢 Enterprise Data Strategy🧱 Data Architecture
Predictive Analytics For Dummies
by Anasse Bari • 2013
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
3.74
111
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 89%
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
by Anasse Bari 2013
3.74
111 ratings
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides
Data Science for Business
by Foster Provost • 2013
Why overfitting sinks most data projects, and the conceptual tools that stop it.
4.13
3k+
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation
Data Science for Business Summary
Data Science for Business 89%
Why overfitting sinks most data projects, and the conceptual tools that stop it.
by Foster Provost 2013
4.13
3k+ ratings
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation
Python Crash Course
by Eric Matthes • 2015
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
4.35
3k+
🐍 Python Programming📊 Data Visualization🌱 Beginner Programming
Python Crash Course Summary
Python Crash Course 88%
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
by Eric Matthes 2015
4.35
3k+ ratings
🐍 Python Programming📊 Data Visualization🌱 Beginner Programming
Graph Databases
by Ian Robinson • 2013
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
3.64
437
🕸️ Graph Databases🗄️ Nosql Databases📐 Graph Theory
Graph Databases Summary
Graph Databases 88%
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
by Ian Robinson 2013
3.64
437 ratings
🕸️ Graph Databases🗄️ Nosql Databases📐 Graph Theory
The Art of SQL
by Stephane Faroult • 2006
SQL performance lives in the gap between relational theory and disk reality.
3.98
170
🗄️ Database Design🚀 Query Optimization🏭 Data Warehousing
The Art of SQL Summary
The Art of SQL 88%
SQL performance lives in the gap between relational theory and disk reality.
by Stephane Faroult 2006
3.98
170 ratings
🗄️ Database Design🚀 Query Optimization🏭 Data Warehousing
Automate the Boring Stuff with Python
by Al Sweigart • 2014
Turn tedious computer work into scripts: spreadsheets, emails, and scraping, taught from zero.
4.28
3k+
🐍 Introductory Python⚙️ Task Automation🕸️ Web Scraping
Automate the Boring Stuff with Python Summary
Automate the Boring Stuff with Python 88%
Turn tedious computer work into scripts: spreadsheets, emails, and scraping, taught from zero.
by Al Sweigart 2014
4.28
3k+ ratings
🐍 Introductory Python⚙️ Task Automation🕸️ Web Scraping
Data Analytics Made Accessible
by Anil Maheshwari • 2014
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
3.76
323
🧱 Data Analytics📊 Business Intelligence⛏️ Data Mining
Data Analytics Made Accessible Summary
Data Analytics Made Accessible 88%
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
by Anil Maheshwari 2014
3.76
323 ratings
🧱 Data Analytics📊 Business Intelligence⛏️ Data Mining
Learning SQL
by Alan Beaulieu • 2005
The SQL guide from beginner to analytics, with exercises for lasting fluency.
3.98
775
🗄️ Sql Databases✍️ Query Writing📝 Data Manipulation
Learning SQL Summary
Learning SQL 88%
The SQL guide from beginner to analytics, with exercises for lasting fluency.
by Alan Beaulieu 2005
3.98
775 ratings
🗄️ Sql Databases✍️ Query Writing📝 Data Manipulation
Python for Geeks
by Muhammad Asif • 2021
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
4.50
8
🐍 Python Programming⚙️ Machine Learning Engineering📊 Data Science
Python for Geeks Summary
Python for Geeks 88%
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
by Muhammad Asif 2021
4.50
8 ratings
🐍 Python Programming⚙️ Machine Learning Engineering📊 Data Science
Introduction to Machine Learning with Python
by Andreas C. Müller • 2015
Build models that generalize, not just memorize: a Python data scientist's guide.
4.33
600
🤖 Applied Machine Learning📊 Data Science🏷️ Supervised Learning
Introduction to Machine Learning with Python Summary
Introduction to Machine Learning with Python 88%
Build models that generalize, not just memorize: a Python data scientist's guide.
by Andreas C. Müller 2015
4.33
600 ratings
🤖 Applied Machine Learning📊 Data Science🏷️ Supervised Learning
Data Mining Techniques
by Michael J.A. Berry • 1997
How to pull business answers from transaction data using six core data mining techniques.
4.06
233
📊 Data-Driven Marketing📈 Customer Analytics⛏️ Data Mining
Data Mining Techniques Summary
Data Mining Techniques 88%
How to pull business answers from transaction data using six core data mining techniques.
by Michael J.A. Berry 1997
4.06
233 ratings
📊 Data-Driven Marketing📈 Customer Analytics⛏️ Data Mining
Think Stats
by Allen B. Downey • 2011
Statistics taught through code: why simulation and real data beat memorization every time.
3.64
469
💻 Computational Statistics🔍 Exploratory Data Analysis🐍 Python Data Analysis
Think Stats Summary
Think Stats 88%
Statistics taught through code: why simulation and real data beat memorization every time.
by Allen B. Downey 2011
3.64
469 ratings
💻 Computational Statistics🔍 Exploratory Data Analysis🐍 Python Data Analysis
Python Programming for Beginners
by MARK CODING • 2020
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
5.00
1
🐍 Python Programming💻 Learn To Code🌱 Absolute Beginners
Python Programming for Beginners Summary
Python Programming for Beginners 88%
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
by MARK CODING 2020
5.00
1 ratings
🐍 Python Programming💻 Learn To Code🌱 Absolute Beginners
AI for Data Science
by Zacharias Voulgaris • 2018
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
4.55
20
📊 Data Science🧠 Deep Learning⚙️ Optimization Algorithms
AI for Data Science Summary
AI for Data Science 88%
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
by Zacharias Voulgaris 2018
4.55
20 ratings
📊 Data Science🧠 Deep Learning⚙️ Optimization Algorithms
Mastering Regular Expressions
by Jeffrey E.F. Friedl • 1997
Understand the engine behind your regex: why some patterns crawl, and how to make them run.
4.16
2k+
🧩 Regular Expressions📝 Text Processing🔍 Pattern Matching
Mastering Regular Expressions Summary
Mastering Regular Expressions 88%
Understand the engine behind your regex: why some patterns crawl, and how to make them run.
by Jeffrey E.F. Friedl 1997
4.16
2k+ ratings
🧩 Regular Expressions📝 Text Processing🔍 Pattern Matching
Why Data Science Projects Fail
by Douglas Gray • 2024
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
5.00
19
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops
Why Data Science Projects Fail Summary
Why Data Science Projects Fail 88%
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
by Douglas Gray 2024
5.00
19 ratings
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops
Algorithms of the Intelligent Web
by Haralambos Marmanis • 2009
Search, recommend, cluster, classify: the algorithms that make web applications intelligent.
3.62
130
🤖 Machine Learning🌐 Web Applications🎯 Recommendation Systems
Algorithms of the Intelligent Web Summary
Algorithms of the Intelligent Web 88%
Search, recommend, cluster, classify: the algorithms that make web applications intelligent.
by Haralambos Marmanis 2009
3.62
130 ratings
🤖 Machine Learning🌐 Web Applications🎯 Recommendation Systems
SQL Antipatterns, Volume 1
by Bill Karwin • 2010
The database design mistakes every developer makes, and the patterns that fix them before they ship.
4.02
562
🗄️ Database Design💻 Sql Programming⚠️ Antipatterns
SQL Antipatterns, Volume 1 Summary
SQL Antipatterns, Volume 1 88%
The database design mistakes every developer makes, and the patterns that fix them before they ship.
by Bill Karwin 2010
4.02
562 ratings
🗄️ Database Design💻 Sql Programming⚠️ Antipatterns
Head First SQL
by Lynn Beighley • 2007
Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.
4.01
557
📊 Data Analytics Careers🗄️ Relational Databases🔮 Predictive Modeling
Head First SQL Summary
Head First SQL 88%
Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.
by Lynn Beighley 2007
4.01
557 ratings
📊 Data Analytics Careers🗄️ Relational Databases🔮 Predictive Modeling
Learn SQL (using MySQL) in One Day and Learn It Well
by Jamie Chan • 2018
SQL from zero to a working booking system: the hands-on guide that delivers in one day.
4.08
106
🗄️ Sql Databases📐 Database Design📖 Self-Taught Coding
Learn SQL (using MySQL) in One Day and Learn It Well Summary
Learn SQL (using MySQL) in One Day and Learn It Well 88%
SQL from zero to a working booking system: the hands-on guide that delivers in one day.
by Jamie Chan 2018
4.08
106 ratings
🗄️ Sql Databases📐 Database Design📖 Self-Taught Coding
Sams Teach Yourself SQL™ in 10 Minutes
by Ben Forta • 1999
Quick-start SQL: from data retrieval to secure virtual tables, all in ten-minute lessons.
4.09
1k+
🧱 Database Management🛢️ Sql For Beginners🔨 Practical Sql
Sams Teach Yourself SQL™ in 10 Minutes Summary
Sams Teach Yourself SQL™ in 10 Minutes 88%
Quick-start SQL: from data retrieval to secure virtual tables, all in ten-minute lessons.
by Ben Forta 1999
4.09
1k+ ratings
🧱 Database Management🛢️ Sql For Beginners🔨 Practical Sql
Introduction to Computation and Programming Using Python
by John V. Guttag • 2013
A computer calculates and remembers; everything beyond that is what you build with code.
4.22
500
🧑‍💻 Introductory Programming🧠 Computational Thinking🐍 Python For Beginners
Introduction to Computation and Programming Using Python Summary
Introduction to Computation and Programming Using Python 88%
A computer calculates and remembers; everything beyond that is what you build with code.
by John V. Guttag 2013
4.22
500 ratings
🧑‍💻 Introductory Programming🧠 Computational Thinking🐍 Python For Beginners
Information Asset Management
by Nina Evans • 2024
Information is the strategic asset your balance sheet ignores. Governing it changes everything.
🏛️ Information Governance✅ Data Quality🏷️ Metadata Management
Information Asset Management Summary
Information Asset Management 88%
Information is the strategic asset your balance sheet ignores. Governing it changes everything.
by Nina Evans 2024
🏛️ Information Governance✅ Data Quality🏷️ Metadata Management
Numsense! Data Science for the Layman
by Annalyn Ng • 2017
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
4.14
622
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 88%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 ratings
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics
Salesforce Data Architecture and Management
by Ahsan Zafar • 2021
A million records in Salesforce will break your org. The architecture rules that stop it.
3.33
3
🏢 Salesforce Platform🏗️ Data Architecture📊 Data Management
Salesforce Data Architecture and Management Summary
Salesforce Data Architecture and Management 88%
A million records in Salesforce will break your org. The architecture rules that stop it.
by Ahsan Zafar 2021
3.33
3 ratings
🏢 Salesforce Platform🏗️ Data Architecture📊 Data Management
Becoming a Data Head
by Alex J. Gutman • 2021
The critical thinking toolkit for anyone who works with data but never plans to code.
4.18
480
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking
Becoming a Data Head Summary
Becoming a Data Head 88%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking
Python for Everybody
by Charles Severance • 2016
Python from motherboard to internet: no prerequisites, no hand-waving, no jargon left unexplained.
4.27
934
🐍 Python Programming💻 Computer Science Basics🧱 Coding Fundamentals
Python for Everybody Summary
Python for Everybody 88%
Python from motherboard to internet: no prerequisites, no hand-waving, no jargon left unexplained.
by Charles Severance 2016
4.27
934 ratings
🐍 Python Programming💻 Computer Science Basics🧱 Coding Fundamentals
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⭐
⭐
⭐
We have a special gift for you
Open
38% OFF
DISCOUNT FOR YOU
⭐
⭐
⭐
$79.99
$49.99/year
only $4.16 per month
Continue
2 taps to start, super easy to cancel