If anybody's interested in learning Python, the book covers from the absolute basics to more advanced topics, including OOP and pattern matching (3.10).
The book title: Python for Serious Beginners - A Practical Introduction to Modern Python with Simple Hands-on Projects. Here's the link:
https://www.codeandtips.com/download/python-for-beginners-review-copy-20220907.pdf
The book is (often) updated. Welcome any feedback or suggestions. 👍👍👍
EDIT: thanks for the feedback. Fixed some typos, and uploaded a new version. 20220907. 🙏
As said in the header. Hi, I'm interested in learning python as I have that for my engineering course Does anyone have any pdf books or link from where I can read any books related to python programming for beginners?
Videos
Just getting into Python my background is using BASIC (yes I’m old) looking for some good free books ideally in PDF
I’m not really into watching a YouTube beginners guide as you end up writing turn the stuff anyway.
Failing that any recommendation for real books from Amazon on beginning with Python
Also looking for something that lists all the commands you can use with some examples (going back to my BASIC days when you got a getting started guide and it had all the command and examples, from that you could work out how to do almost anything)
Thank you.
I prefer PDFs to videos, and only code written in Python 3.
I'm learning some python, but most of the free PDFs don't seem to come with solutions. Finding the answers on the web is hard too. It makes it harder for me to see if my code is right(so called edge cases).
Has anyone found a decent free beginners book with at least one solution per exercise?
Also, can I limit the number of files that open in spyder? Like just the last 10?
Thanks
Hello in my university i now have started a python course. What do you think guys is the best textbook to learn python?
Whats the best book for start, to learn from ground up?
Hi. I am a complete newbie to this field. I have zero programing experience. But I want to learn Python. Is Udemy's Python: zero to mastery course a good place to start. Or please recommend where and how to start learning Python.
You'll get a million different answers - people will suggest what they've used, and what works for different people is always different.
Ultimately, any "intro to python" type course will be fine.
The "Zero to Mastery" Udemy series looks good, but understand that you won't get anywhere near advanced within a month or two. It takes months/years to get to intermediate, and years beyond that to become an "advanced".
With that in mind, go into it without a sense of urgency and take your time to learn and understand concepts.
It doesn't matter if you don't understand things the first, second, or even fifth time you go over them. That's totally normal - programming is difficult. What matters are two things - consistency, and dedication. 30 minutes a day for one year will take you a lot closer to employ-ability than 6 hours every day for 2 months. Don't burn out. Take things at your own pace.
I'll plug the book that I made my first real breakthrough learning to code with - "Python for Everybody". The author breaks things down in a very easy to understand and enjoyable manner. Here is a link to the free PDF - spend a few hours going over it and see if you enjoy the learning style.
If not, another highly recommended resource is Automate the Boring Stuff with Python - If you scroll down on the page you'll find that the author has links to a free web-based version of all the chapters in the book for free.
Another user has recommended Corey Schafer’s YouTube tutorials - another excellent, free resource.
Any one of these three is sufficient to start learning.
Hey bud. I just wanted to give you some gold and appreciate your help. I am probably not the only one that’s benefitted from your comment but I wanted to make sure you keep up the good work!!!
I have done a few beginner python programs but “How to think like a computer scientist” has been my favorite by far.
I hope you’re having a great day!
Hello, I am looking for some advice on learning Python. I was recently laid off from my job and i am looking to learn some new skills to become more marketable. I had foolishly paid for a KodeKloud subscription to learn SRE/Devops and found that it did a very poor job of explaining things to the point i was constantly using the "hint" feature, and not really learning anything. I then attempted CodeFinity only to realize even if you run the code improperly you can still "complete" the tasks, meaning I could very well be learning the "wrong python"
I am getting quite short on capital, but I am still very much interested in learning python. Are there any youtube tutorials, or anything like that i can follow along?
Just starting out so I'm looking for some textbooks or books to learn python from. Mainly because I learn better that way.
Edit: Thank you everybody for the suggestions!
I've just started learning python and I'd appreciate any advice or suggestions for some books or websites (or any resources really!)
Hi, I am new to programming. I want to learn programming for the career opportunities and because I started to get interested in it. I have a lot of free time and I can dedicate like 6 hours a day to learn. I read the "New? READ ME FIRST" and I see that many recommend the "Automate the Boring Stuff with Python". I also see that someone recommends to start with Python's official tutorial on their website but I hear that the tutorial there is for someone who already knows some programming. What do you recommend between the two?
Also along side that should I use "freecodecamp"? I heard that some learned to code only using that and also they give certification and have a curriculum to follow so it would be easier. Do you recommend this or do you have other preferences like "codecademy"?
Any additional advice or recommendation would be welcome. Thanks!
Automate the Boring Stuff!! God that book is amazing. I learned Python with just that a few years ago. Best thing is to do the projects at the end of the sections and if you don’t get something look it up on stack overflow. That’s all you need.
I’m now a professional dev and half my job is in Python. That book is definitely a great starting place. Couldn’t recommend it more 10/10
I would wholeheartedly recommend the free MOOC Python Programming 2022 from the University of Helsinki. Textual course with plenty practical exercises.
The University of Helsinki is known for their excellent Java MOOC and their brand new Python MOOC is at the same level as the Java course.
I have a bit of python experience mainly for data to and ML work, but Python isn’t my main programming language. I have an interview coming up that is about python. I can already code in Python generally, but I want a resource where I can learn all the intricate details, packages, how to utilize it in object oriented design, and some lesser known concepts/features python has. I was wondering if there’s a course or book or something I can utilize to learn this information before my interview, so I would be as prepared as possible.
Given that i have tried 'Learn Python the hard way' by zed shaw didnt suit me
I’ve been really invested in coding lately, and Python seems relatively easy to pick up
I read the introduction of Python All-in-One For Dummies at my local library, which was cool, but I heard it’s not the best book. So I wanted to ask for recommendations first
If there are any good courses i wouldn’t mind them but I prefer books anyway i don’t have a specific goal for coding yet maybe game development or automation but for now i just want to build a strong foundation and go from there.
Are there any books or courses that cover Python from the basics and are worth checking out?
I wanted to learn python but I couldn’t grasp the concept and I find it difficult without any guidance and reading material.
I have a question as a beginner. I want to know How you guys started your python journey and what about daily practice. Any advice for beginners like me
At my first job in IT, developers told me - if you don’t know what programming language to learn, you don’t know where to start, then start with python. I initially mistook that for a joke, but it's actually a pretty wise bit of advice. I started learning python with the resources that I will tell you about in this post. I hope you find something new for yourself too.
Learn Python the Hard Way
I decided to start with books. Someone says that learning programming languages from books is like writing code on a piece of paper. I do not agree with such people and I think that books are great for training memory.
One of the biggest strengths of "Learn Python the Hard Way" is its focus on practical exercises. The activities in the book are broken down into a series that gradually builds on one another, letting you apply what you've learned to actual situations. Each exercise includes clear instructions and code examples, making it easy to follow along.
Another highlight of the book is its emphasis on developing effective coding habits. The book highlights the value of excellent coding habits, such as commenting your code and utilizing version control, in becoming a more successful and efficient programmer.
One potential downside of "Learn Python the Hard Way" is its emphasis on memorization. The book requires you to memorize a lot of code and syntax, which can be overwhelming for some learners. Additionally, the book's title can be misleading, as it's not necessarily a difficult way to learn Python, but rather an intense and focused approach.
The book is available via the link.
Automate the Boring Stuff with Python
One of the reason I recommend you this book is its focus on automating common, repetitive tasks. The book covers a wide range of topics, from web scraping to automating email, which can help you streamline your workflows and save time. The author provides clear, step-by-step instructions for each project, making it easy to follow along.
Another strength of the book is its emphasis on practical applications. The author provides plenty of examples of how Python can be used to automate real-world tasks, which helps learners understand the relevance of what they're learning. This approach can be especially motivating for learners who are looking to apply their new skills to their work or personal projects.
The thing I love most of all is that the book is well-organized and easy to follow, with clear explanations of key concepts and plenty of code examples. The author does an excellent job of breaking down complex tasks into manageable steps, which can help learners build their confidence as they progress through the book.
Again, like the previous book I reviewed, it may be too basic for learners who are already familiar with Python. The book is aimed at beginners, so if you're looking for more advanced topics or specialized applications, you may want to explore other resources.
In general, is an excellent resource for beginners who are looking to learn Python with a focus on practical applications. The book's emphasis on automating common tasks, clear writing style, and comprehensive coverage of key topics make it a great choice for learners who want to build their skills in a relevant and engaging way.
The book is available via the link.
Python Crash Course
Another book in the list. The book includes a wide range of projects, ranging from building a simple game to developing a web application, which help you apply what you've learned practically. The projects are well-designed and engaging, and provide a great way to reinforce your understanding of key concepts.
The book's straightforward and succinct writing style is another asset. Without oversimplifying or skipping over crucial aspects, the author does a fantastic job of articulating difficult topics in a way that is simple to comprehend. The book is a fantastic tool for self-paced study because it is well laid out and simple to follow.
"Python Crash Course" covers a broad range of topics, from basic syntax to more advanced topics like Django web development. This makes it a great resource for learners who are looking for a comprehensive introduction to Python.
One potential downside of the book is that it may be too basic for some learners. If you already have experience with programming, you may find some of the early chapters to be too slow-paced. Also, the book skips over several more specialized subjects that you might find interesting, such data analysis and machine learning.
The book is available via the link.
Python for Everybody
"Python for Everybody" is a book written by Dr. Charles Severance that aims to teach Python to beginners with a focus on web development and data analysis.
The thorough treatment of important subjects in this book is what I like most about it. The book covers so much stuff including fundamental programming ideas, web development, and data analysis, making it a fantastic resource for those looking for a thorough introduction to Python. The author does a great job of breaking down complicated ideas into simple terms and includes many of code examples to highlight important ideas.
Another strength of the book is its focus on real-world applications, like in a previous book in the list. The author provides plenty of examples of how Python can be used to solve real-world problems, which can help learners understand the relevance of what they're learning. This approach can be especially motivating for learners who are looking to apply their new skills to their work or personal projects.
Moreover, "Python for Everybody" is well-organized and easy to follow. The author breaks down complex topics into manageable sections, and provides plenty of review exercises to help learners reinforce their understanding of key concepts. The book is also available as a free online course with video lectures and interactive homework, making it a great option for self-study.
As such, "Python for Everyone" is a great resource for beginners looking for a complete introduction to Python with a focus on web development and data analysis. With comprehensive coverage of key topics, real-world examples, and a well-organized format, this book is an excellent choice for learners who want to improve their skills in a fun and appropriate way. Whether you're new to Python or want to improve your web development and data analysis skills, Python for Everyone is a must-read. That was the first Python-related book I read.
The book is available via the link.
Head First Python
"Head First Python" by Paul Barry is a unique and engaging book that teaches Python programming to beginners. The book uses a visual approach to teaching, with plenty of illustrations, diagrams, and real-world examples to make learning Python fun and easy.
One of the key strengths of the book is its focus on practical examples. The author provides plenty of code examples that demonstrate how to use Python to solve real-world problems, which makes the learning experience more engaging and relevant. For instance, this book helped me a lot with real examples at my final year at university. The book also includes exercises and quizzes that help reinforce key concepts and ensure learners are retaining what they've learned.
The book uses a conversational tone and a visual layout that makes it easy to follow and understand. The author breaks down complex concepts into manageable sections, and uses illustrations and diagrams to explain concepts in a way that is easy to grasp.
Not for me, but for somebody, it may not be the best choice for learners who prefer a more traditional approach to learning programming. The visual and conversational style of the book may not be appealing to everyone, and some learners may prefer a more text-heavy approach.
"Head First Python" is an excellent resource for beginners who want a fun and engaging introduction to Python programming. The book's unique visual approach, practical examples, and conversational tone make it a great choice for learners who are looking for an enjoyable and effective way to learn Python. "Head First Python" is unquestionably a book you should look at if you're new to Python and want to learn the language in a fun and interesting way.
The book is available via the link.
Conclusion
In this post, I have listed perhaps the best books on learning Python. Again, it may seem to some that learning Python programming is like learning to fly an airplane by jumping from a parachute. This is not so if you combine what you read with practice - repeat the scripts yourself, after each chapter, test and experiment yourself. The learning process itself should be built on your personal experiments. And the basis and basis for these experiments, you can learn from the above books.
Guys I am a 16 year old and want to learn python and there are too many resources available. I dont know how to make projects, where to save them how to make them user friendly. I dont have a prior coding knowledge. I also don't understand git and github. How do I search projects in github. It would be beneficial to know about any free apps to teach me coding, any good youtube channels that provide a crash course and if anyone can give a road map like how should i go aboute it.. Also how do people save their projects on websites? Thankyou. I am learning python because I want to learn AI..coders please shower some knowledge upon me
Didn't want to keep it to myself - I'm starting to read this now. ;)
Direct link: https://books.goalkicker.com/PythonBook/PythonNotesForProfessionals.pdf
Contents
1: Getting started with Python Language
2: Python Data Types
3: Indentation
4: Comments and Documentation
5: Date and Time
6: Date Formatting
7: Enum
8: Set
9: Simple Mathematical Operators
10: Bitwise Operators
11: Boolean Operators
12: Operator Precedence
13: Variable Scope and Binding
14: Conditionals
15: Comparisons
16: Loops
17: Arrays
18: Multidimensional arrays
19: Dictionary
20: List
21: List comprehensions
22: List slicing (selecting parts of lists)
23: groupby()
24: Linked lists
25: Linked List Node
26: Filter
27: Heapq
28: Tuple
29: Basic Input and Output
30: Files & Folders I/O
31: os.path
32: Iterables and Iterators
33: Functions
34: Defining functions with list arguments
35: Functional Programming in Python
36: Partial functions
37: Decorators
38: Classes
39: Metaclasses
40: String Formatting
41: String Methods
42: Using loops within functions
43: Importing modules
44: Difference between Module and Package
45: Math Module
46: Complex math
47: Collections module
48: Operator module
49: JSON Module
50: Sqlite3 Module
51: The os Module
52: The locale Module
53: Itertools Module
54: Asyncio Module
55: Random module
56: Functools Module
57: The dis module
58: The base64 Module
59: Queue Module
60: Deque Module
61: Webbrowser Module
62: tkinter
63: pyautogui module
64: Indexing and Slicing
65: Plotting with Matplotlibcommands
66: graph-tool
67: Generators
68: Reduce
69: Map Function
70: Exponentiation
71: Searching
72: Sorting, Minimum and Maximum
73: Counting
74: The Print Function
75: Regular Expressions (Regex)
76: Copying data
77: Context Managers (“with” Statement)
78: The __name__ special variable
79: Checking Path Existence and Permissions
80: Creating Python packages
81: Usage of "pip" module: PyPI Package Manager
82: pip: PyPI Package Manager
83: Parsing Command Line arguments
84: Subprocess Library
85: setup.py
86: Recursion
87: Type Hints
88: Exceptions
89: Raise Custom Errors / Exceptions
90: Commonwealth Exceptions
91: urllib
92: Web scraping with Python
93: HTML Parsing
94: Manipulating XML
95: Python Requests Post
96: Distribution
97: Property Objects
98: Overloading
99: Polymorphism
100: Method Overriding
101: User-Defined Methods
102: String representations of class instances: __str__ and __repr__methods
103: Debugging
104: Reading and Writing CSV
105: Writing to CSV from String or List
106: Dynamic code execution with `exec` and `eval`
107: PyInstaller - Distributing Python Code
108: Data Visualization with Python
109: The Interpreter (Command Line Console)
110: *args and **kwargs
111: Garbage Collection
112: Pickle data serialisation
113: Binary Data
114: Idioms
115: Data Serialization
116: Multiprocessing
117: Multithreading
118: Processes and Threads
119: Python concurrency
120: Parallel computation
121: Sockets
122: Websockets
123: Sockets And Message Encryption/Decryption Between Client and Server
124: Python Networking
125: Python HTTP Server
126: Flask
127: Introduction to RabbitMQ using AMQPStorm
128: Descriptor
129: tempfile NamedTemporaryFile
130: Input, Subset and Output External Data Files using Pandas
131: Unzipping Files
132: Working with ZIP archives
133: Getting start with GZip
134: Stack
135: Working around the Global Interpreter Lock (GIL)
136: Deployment
137: Logging
138: Web Server Gateway Interface (WSGI)
139: Python Server Sent Events
140: Alternatives to switch statement from other languages
141: List destructuring (aka packing and unpacking)
142: Accessing Python source code and bytecode
143: Mixins
144: Attribute Access
145: ArcPyCursor
146: Abstract Base Classes (abc)
147: Plugin and Extension Classes
148: Immutable datatypes(int, float, str, tuple and frozensets)
149: Incompatibilities moving from Python 2 to Python 3
150: 2to3 tool
151: Non-official Python implementations
152: Abstract syntax tree
153: Unicode and bytes
154: Python Serial Communication (pyserial)
155: Neo4j and Cypher using Py2Neo
156: Basic Curses with Python
157: Templates in python
158: Pillow
159: The pass statement
160: CLI subcommands with precise help output
161: Database Access
162: Connecting Python to SQL Server
163: PostgreSQL
164: Python and Excel
165: Turtle Graphics
166: Python Persistence
167: Design Patterns
168: hashlib
169: Creating a Windows service using Python
170: Mutable vs Immutable (and Hashable) in Python
171: configparser
172: Optical Character Recognition
173: Virtual environments
174: Python Virtual Environment - virtualenv
175: Virtual environment with virtualenvwrapper
176: Create virtual environment with virtualenvwrapper in windows
177: sys
178: ChemPy - python package
179: pygame
180: Pyglet
181: Audio
182: pyaudio
183: shelve
184: IoT Programming with Python and Raspberry PI
185: kivy - Cross-platform Python Framework for NUI Development
186: Pandas Transform: Preform operations on groups and concatenate theresults
187: Similarities in syntax, Dierences in meaning: Python vs. JavaScript
188: Call Python from C#
189: ctypes
190: Writing extensions
191: Python Lex-Yacc
192: Unit Testing
193: py.test
194: Profiling
195: Python speed of program
196: Performance optimization
197: Security and Cryptography
198: Secure Shell Connection in Python
199: Python Anti-Patterns
200: Common Pitfalls
201: Hidden FeaturesCreditsYou may also like
Enjoy reading! :)
I've just started learning Python. I'm from the completely different field of expertise (legal), but I would like to start programming and eventually start a career in QA testing. So any advice on buying some book would be of value.