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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 (▽)

One 、 first Python Program

Python Introduction to

Python Run code

first helloworld Program 、 Be careful

Python The interaction mode of ,iPython

Python Environment building

Two 、Python Basic grammar

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

3、 ... and 、Python data structure

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

Four 、Python Reptiles

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

5、 ... and 、Python big data

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

6、 ... and 、Python big data - machine learning

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

Attention to actual combat projects ：

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 .

afterword ：

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 ！

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