Python Five points from getting started to mastering the learning route :
current IT The industry is developing rapidly ,IT The output value of the industry has doubled , Many people intend to learn from zero Foundation python.
For beginners with zero Foundation , The most confused thing is that I don't know how to start learning ?
Well, the Xiaobian here has planned a zero foundation self-study must see for everyone python Learning route , Get started quickly .
Don't thank you very much ~ Hee hee (╹▽╹)
To beginners
Study python Before learning, you should clear up the learning route , What to learn first , What are you learning , And then at your own time , Combine video and route learning .
Xiaobian recommends :
First month 1-5 Tianxue installation Python、pycharm Wait for the environment to build ,6-13 Days to learn basic grammar . But be careful : Object oriented and regular databases are a little more difficult , You can spend a 14-20 One day is devoted to conquering this piece ,21-23 Consolidate review ,24-30 Do basic exercises .
The second month 1-7 Introduction to sky crawler ,8-29 Days to learn about crawler projects and frameworks .
The third month 1-10 Day operation project drill . Arrange study time reasonably ,python The more you learn, the better you are (▽)
Python Introduction to
Python Run code
first helloworld Program 、 Be careful
Python The interaction mode of ,iPython
Python Environment building
Python Basic grammar
Python Variable type
Python Operator
Python Conditional statements
Python Loop statement
Python While Loop statement
Python for Loop statement
Python A nested loop
Python break sentence
Python continue sentence
Python pass sentence
Python Number( Numbers )
Python character string
Python list (List)
Python Tuples
Python Dictionaries (Dictionary)
Python Date and time
Python function
Python modular
Python file I/O
Python File Method
Python exception handling
Python OS file / Catalog method
Python Built in functions
list (list)、 Tuples (tuple)、 Dictionaries (dict)、 aggregate (set) Basic operation
Iterators and generators
serialize Python object
Data coding and processing
Python Function details
Classes and objects
Modules and packages
The Internet and web Programming
Concurrent
test 、 Debugging and exception
C Language extension
Mysql introduction
Mysql senior
Redis introduction
Redis senior
Web crawlers and related tools
Data collection and Analysis
Concurrent downloads
Multithreading
Reverse decryption solution
js Reverse debugging 、 Analytical thinking
Commonly used js File location method
Form interaction and verification code processing
Common anti climbing strategies and Countermeasures
Scrapy Introduction to crawler framework
Scrapy Crawler frame intermediate
Scrapy Crawler framework advanced
Scrapy Distributed implementation of crawler framework
example - Poor travel network font anti crawl analysis
example - Multi thread crawls all pages of random web pages
example : Jingdong Mall slider verification analysis
Case study : stay Chrome View elements in the browser XPath grammar
project - An e-commerce commodity grabbing response anti climbing mechanism
Data analysis
Data statistics
Numpy Basics
Numpy Advanced
Data processing -Pandas Basics
Data processing -Pandas Advanced
data structure : Stack 、 queue 、 Dictionaries 、 Tuples 、 Trees 、 Linked list
Data visualization -Matplotlib Basics
Data visualization -Matplotlib Advanced
Matplotlib Data visualization consolidation training
seaborn Visualization categorial visualization( classification )、distribution visualization( Variable distribution )
Data visualization extension
Data analysis project ( Finance, e-commerce, logistics, meteorology, information )
project : Online retailers ( JD.COM TaoBao A lot of spelling ) Visualization of user behavior
Data feature analysis
Data dimensionality reduction to achieve factor analysis
First experience of machine learning ( One )- Supervised learning
First experience of machine learning ( Two )- Unsupervised learning
Logical regression
K-Means clustering algorithm
KNN Classification wine quality
Prediction and classification of population census data sets
Recursive feature elimination (RFE)
ROC curve & AUC
Feature Importance( Importance of features )
Thinking inProbabilities( Classification probability )
Random forest prediction practice
Decision tree modeling
Machine learning extensions - About dataset conversion
scikit-learn Calculation ( Expand )
Data analysis and algorithm modeling
Project practice At this stage , We must practice more , Find and handle errors and exceptions encountered in the process , If you have problems, search the Internet , However , It's hard to have project practice opportunities for self-study .
This is actually Python Project practice stage , In the process of self-study , You may encounter many difficulties in doing your own project , If a teacher takes you to do it , Then you will get twice the result with half the effort .
Project experience is the quickest way to improve your technical ability .
When you go through the above stages , I believe you have taken the most critical step in the world of programming .
However, there is no end to learning , You have to remember that on the road of programming , There is no shortcut. , Only hard sweat can water the fruits of success .
Because there are so many , Made some pictures , See the picture for details
I believe that as long as you are willing to take the initiative to learn 、 Think more 、 More hands-on practice , Must be able to improve their ability in a short time , And in IT On this road , Show your talent , Reflect their own value , Find a sense of belonging to your career ! come on. !
I am a White and white , A program Yuan who likes to share knowledge , If you are interested, please click and follow me ~ Where there is not understand or have different views, welcome to leave a message !